Tag: Health Technology

  • NHS trials medical drone delivery service for blood samples

    NHS trials medical drone delivery service for blood samples

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    The NHS has announced that it will be trialling a medical drone delivery service for blood samples in London.

    The trial will see urgent blood samples transported between Guy’s Hospital and the lab at St Thomas’ Hospital via electric drones.

    The medical drone delivery service aims to significantly enhance patient care by accelerating turnaround times.

    Professor Ian Abbs, Chief Executive at Guy’s and St Thomas’, commented: “The drone pilot combines two of our key priorities – providing the best possible patient care and improving sustainability.

    “We are proud to be the first Trust in London to trial this innovative approach to help speed up blood sample analysis for our most urgent cases.”

    Improving outcomes for NHS patients

    Traditionally, blood samples are delivered by couriers using vans or motorbikes and can take more than an hour.

    In contrast, medical drone delivery can transport blood samples across the same distance in under two minutes.

    This major speed advantage allows for faster analysis, enabling medical professionals to rapidly determine which patients are safe to undergo surgery or be discharged.

    The trial, which begins this Autumn 2024 and runs for six months, will deliver blood samples for patients undergoing surgery who are at a high risk of complications from bleeding disorders.

    The trial is regulated by the Civil Aviation Authority, which has granted the airspace approval and has been organised by Apian, a healthcare logistics company, and Wing, a drone delivery specialist that is part of Google’s parent company, Alphabet.

    Apian and Wing have partnered previously on medical drone delivery trials in Dublin and rural areas of the UK, with this landmark project representing the first trial of its kind in London.

    Sophie O’Sullivan, Director of Future of Flight, UK Civil Aviation Authority, added: “Innovative trials like this from Guy’s and St Thomas’, Apian and Wing help demonstrate the many positive and safe ways that drones can be used for society – in this case, to improve patient outcomes and deliver significant environmental benefits.

    “This is one of the many reasons that we are working with companies through our sandbox trials programme, to enable the test and development of pioneering new aviation technology in the UK.”

    Benefits of medical drone delivery

    Medical drone delivery services offer transformative benefits to healthcare systems, particularly in remote or underserved areas.

    One of the key advantages is speed. Drones can bypass traffic and geographical barriers, ensuring that critical medical supplies such as blood, vaccines, or life-saving medications reach their destinations quickly. This is especially vital in emergencies where traditional transport methods may face delays.

    Another significant benefit is accessibility. In regions with poor infrastructure, such as mountainous or rural areas, drones provide a reliable solution for delivering healthcare essentials. This can bridge gaps in care, ensuring that patients in hard-to-reach locations receive timely medical assistance.

    Additionally, medical drone services can be cost-effective. Drones reduce the need for expensive logistics systems or specialised vehicles, lowering transportation costs for healthcare facilities. They also enable environmentally friendly delivery, as drones often use electric power, cutting down carbon emissions associated with conventional transport methods.

    Research suggests that lightweight commercial drones can reduce CO2e by up to 99% compared to non-electric cars and reduce transportation electricity needed compared to electric delivery vans.

    By improving delivery times, expanding access, and reducing costs, medical drones have the potential to revolutionise healthcare logistics, ultimately saving lives and improving patient outcomes, particularly in critical situations.

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  • How technology is driving infection control in smart hospitals

    How technology is driving infection control in smart hospitals

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    Imagine a hospital where technology acts as a silent guardian, tirelessly working to keep patients and staff safe from infections.

    From cutting-edge disinfection methods to predictive analytics, smart hospitals are revolutionising healthcare environments.

    Navigating the intricate web of technological advancements in infection control highlights the profound impact these innovations have on shaping the future of healthcare.

    An introduction to smart hospitals

    Smart hospitals revolutionise healthcare delivery by integrating advanced technologies for enhanced patient care and operational efficiency.

    These advancements leverage smart technology to drive digital transformation, ultimately improving patient safety and enabling innovative solutions in the medical field.

    In smart hospitals, cutting-edge technology plays a pivotal role in transforming traditional healthcare practices. From digital records management to real-time monitoring systems, these innovative solutions streamline processes, reduce errors, and enhance overall patient outcomes.

    Patient safety is a top priority in smart hospitals, where advanced technologies ensure the well-being of individuals under medical care.

    By implementing smart sensors, wearables, and AI-driven predictive tools, healthcare providers can proactively identify and address potential risks, ultimately creating a safer environment for patients and staff.

    The integration of these technologies marks a significant step forward in promoting better healthcare practices and outcomes.

    Automated disinfection systems: Robots and UV-C light solutions

    Utilising cutting-edge technology, automated disinfection systems employing robots and UV-C light solutions play a crucial role in maintaining cleanliness and reducing infection risks in healthcare settings.

    Robot disinfection is a key component of smart technology implementation aimed at enhancing infection prevention measures. These robots are equipped with UV-C light solutions that have been proven effective in killing a wide array of pathogens, including bacteria and viruses.

    The automated cleaning provided by these systems ensures thorough disinfection of various surfaces, minimising the spread of harmful microorganisms.

    UV-C effectiveness is particularly significant in eliminating pathogens that are challenging to eradicate through traditional cleaning methods.

    By harnessing the power of UV-C light, these automated disinfection systems offer a more advanced and efficient approach to sanitising healthcare environments.

    Incorporating such innovative technologies into daily cleaning routines enhances the overall safety and cleanliness of hospitals, ultimately contributing to better patient outcomes and reduced infection rates.

    Real-time monitoring and data analytics

    Real-time monitoring and data analytics revolutionise infection control by providing immediate insights into healthcare environments’ pathogen levels and infection risks.

    With data-driven insights and real-time surveillance, actionable data can be accessed to respond proactively to potential threats.

    By employing analytics-driven strategies, hospitals can enhance monitoring and infection control measures, leading to more effective infection prevention practices.

    infection control, smart hospitals
    © shutterstock/pang_oasis

    The integration of technology in surveillance effectiveness allows for quicker identification of emerging issues, enabling timely interventions to contain outbreaks.

    Through real-time data analytics, healthcare facilities can anticipate potential risks and implement proactive measures to safeguard patients and staff.

    This proactive approach not only enhances infection control but also contributes to overall patient safety within the hospital setting.

    Tracking patient and staff hygiene compliance

    To enhance infection control efforts, hospitals use smart sensors and wearables to track patient and staff hygiene compliance. Hygiene tracking is vital for maintaining high standards of patient safety.

    Wearable technology plays a crucial role in ensuring compliance monitoring by providing real-time data on hand hygiene practices and overall cleanliness.

    Smart sensors embedded in these wearables can detect when staff members sanitise their hands before and after patient interactions, promoting staff accountability.

    By monitoring hygiene practices, hospitals can proactively address any compliance issues, ultimately reducing the risk of infections spreading within healthcare facilities.

    Wearable technology facilitates hygiene tracking and compliance monitoring, allowing hospitals to uphold stringent infection control measures and foster a healthier environment for both patients and staff.

    The role of AI in predicting and preventing infection outbreaks

    Smart hospitals leverage artificial intelligence to forecast and prevent potential infection outbreaks. Predictive analytics, powered by machine learning and AI algorithms, play a crucial role in infection modelling and outbreak prevention.

    By analysing vast amounts of data from various sources, such as patient records, staff schedules, and environmental factors, AI can identify patterns and trends that indicate a potential outbreak before it happens.

    Through sophisticated algorithms, AI can predict the likelihood of infections spreading within the hospital environment, allowing healthcare facilities to take proactive measures to prevent outbreaks.

    These AI-driven predictions enable smart hospitals to allocate resources effectively, implement targeted interventions, and enhance overall infection control protocols.

    IoT devices can reduce cross-contamination

    IoT-enabled devices enhance contact tracing efficiency and minimise cross-contamination risks in hospital settings. Wearable trackers integrated into smart hospital devices enable real-time monitoring of staff and patient movements, aiding in rapid identification of potential infection spread.

    IoT contact tracing plays a pivotal role in mapping interactions and identifying high-risk areas for targeted sanitation measures, which is crucial for effective cross-contamination prevention.

    By leveraging these technologies, hospitals can implement proactive infection control strategies, such as isolating individuals who may have been exposed to contagious pathogens, thereby reducing the likelihood of widespread outbreaks.

    Smart sensors embedded in wearables provide valuable data for analysing hygiene compliance among healthcare workers, enhancing overall safety protocols.

    Limiting exposure in hospitals

    Remote consultations and virtual check-ins offer significant advantages. They allow patients to receive medical care from the comfort of their homes, minimising the need for in-person visits.

    Patient monitoring through telehealth benefits both patients and healthcare providers. It enables real-time tracking of vital signs and symptoms without the risks associated with in-hospital visits.

    Remote patient monitoring not only enhances patient safety but also contributes to more efficient healthcare delivery. Embracing these technologies is crucial in mitigating in-hospital risks and creating a safer environment for both patients and healthcare workers in smart hospitals.

    Challenges and future trends in technology-driven infection control

    Facing the advancements in technology-driven infection control, you must address the emerging challenges and future trends in this critical healthcare domain.

    Future challenges

    • Adapting to evolving pathogens and antibiotic resistance.
    • Ensuring interoperability among various infection control technologies.
    • Balancing privacy concerns with the need for extensive data collection.

    Technology trends

    • Increasing use of AI and machine learning for infection prevention.
    • Integration of blockchain for secure data sharing in healthcare innovations.
    • Advancements in wearable technology for real-time monitoring of infections.

    Healthcare innovations

    • Development of smart hospital rooms with self-disinfecting surfaces.
    • Implementation of predictive analytics to forecast potential outbreaks.
    • Utilisation of robotics for efficient and thorough disinfection processes.

    As technology continues to revolutionise infection control, staying ahead of these challenges and trends will be crucial for safeguarding patient well-being and enhancing overall healthcare outcomes.

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  • NASA workshop shapes the future of microgravity research

    NASA workshop shapes the future of microgravity research

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    Leading space experts from around the world gathered at the Royal Institution to discuss the future of microgravity research and prepare for the next generation of human presence in low-Earth orbit.

    NASA and the UK Space Agency co-hosted the workshop on microgravity research, which builds on the success of two previous events held in 2022 and 2023.

    It brings together international partners to refine draft goals and objectives that will set the space community’s strategic directions for scientific, exploration, and commercial goals in low-Earth Orbit (LEO).

    The importance of microgravity research in space

    A key focus of the workshop is the discussion of future low-Earth orbit infrastructure.

    As new commercial space stations come online, there is an increased focus on preserving and expanding research capabilities and developing critical technologies for future deep space exploration.

    The UK Space Agency is actively exploring how best to maximise the research, development and manufacturing opportunities this presents and how to work constructively with international partners to support the transition.

    More broadly, microgravity research is vital not only for space exploration but also for delivering benefits to Earth.

    It allows scientists to study biological, physical and chemical processes without the influence of Earth’s gravity, which has led to advancements in fields such as medicine, material science and fluid dynamics.

    Advancing essential medical technologies

    One important factor that comes from microgravity research is drug development.

    Here, protein crystal growth experiments conducted on the ISS have improved the treatment of numerous diseases, including cancer and gum disease.

    Promising results have come from the study of a protein associated with the chronic genetic disorder Duchenne Muscular Dystrophy (DMD). Based on research from the ISS, treatment for DMD is now in clinical trials.

    The study of fluid dynamics in microgravity also helps advance essential medical technologies such as life support systems.

    In recent years, a number of UK science experiments have been launched at the ISS. These include the MicroAge experiment with the University of Liverpool, which investigated how muscle fibres change in space and provided insights into the ageing process.

    Dr Paul Bate, Chief Executive of the UK Space Agency, said: “We will continue to work closely with NASA, ESA and other space agencies to ensure that microgravity research continues.

    “As we navigate a rapidly evolving global landscape, the ability to contribute to cutting-edge research and innovation is crucial for driving economic growth and spreading prosperity across the country.”

    He concluded: “After almost 24 years of continuous operation, the ISS is nearing the end of its life, and we will see a range of new commercial space stations established in Low Earth Orbit.

    “It is vitally important that we maintain the ability to safely conduct science and research in space that benefits people on Earth.”

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  • AI unlocks new path to personalised cancer treatments

    AI unlocks new path to personalised cancer treatments

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    Researchers are leveraging AI and molecular simulations to uncover new pathways for personalised cancer treatments, paving the way for more effective therapies.

    The team, led by Auburn University, in collaboration with scientists from the University of Basel and ETH Zurich, has developed a novel approach integrating AI with molecular dynamics simulations and network analysis to enhance the prediction of binding sites on the PD-L1 protein.

    This breakthrough promises to accelerate the development of personalised cancer treatments by identifying critical interaction points in cancer-related proteins.

    “Utilising computational tools to engineer proteins represents the next frontier in cancer therapeutics,” said Dr Rafeal Bernardi, who led the team.

    “Our integrated approach combining AI, molecular dynamics, and network analysis holds immense potential for developing personalised therapies for cancer patients.”

    The use of AI in healthcare could be instrumental in improving immunotherapies, such as pembrolizumab (Keytruda), that are already revolutionising cancer treatment.

    Mapping the future of personalised cancer treatments

    One of the greatest challenges in personalised cancer therapeutics is accurately predicting where a drug can bind to its target protein. In this case, the researchers focused on PD-L1, a checkpoint protein that cancers exploit to suppress the immune system.

    Some modern drugs unleash the immune system to attack tumours by blocking PD-L1. However, understanding where exactly to target PD-L1 with new treatments has been a longstanding problem.

    The team developed a sophisticated method that combines AlphaFold2-based AI tools with molecular dynamics simulations and dynamic network analysis.

    Their approach allowed them to predict and confirm key binding regions in the PD-L1 protein that are critical for drug interaction.

    The computational approach was validated with cutting-edge experimental techniques, including cross-linking mass spectrometry and next-generation sequencing.

    These experiments confirmed the accuracy of the team’s predictions, demonstrating the power of combining computational models with experimental validation to unravel complex protein-protein interactions and create personalised cancer treatments.

    The impact of protein interactions on future drug discovery

    The implications of this study go far beyond PD-L1. The methods developed can be applied to many other proteins, potentially leading to the discovery of new drug targets for various diseases, including other types of cancer and autoimmune conditions.

    Additionally, this research paves the way for more cost-effective and rapid development of cancer therapeutics, an area where traditional experimental methods can be slow and expensive.

    “This research stresses the potential of computational tools like NAMD and VMD, combined with cutting-edge hardware such as NVIDIA DGX systems, to advance cancer therapeutics. Our findings mark a significant step toward developing new, targeted treatments for cancer,” explained Dr Diego Gomes, lead author of the work and a researcher at Auburn.

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  • Pursuing excellence in healthcare innovation and research

    Pursuing excellence in healthcare innovation and research

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    The Jewish General Hospital and the Integrated Health and Social Services University Network for West-Central Montreal are committed to enhancing patient care through healthcare innovation. Here, they discuss their recent efforts to guide the institution towards a user-centric and technology-driven future.

    TO FULLY appreciate the deep, long-term commitment to healthcare innovation at the Jewish General Hospital (JGH), one must start by looking back to 1934, the year the hospital was launched. Within days of opening their doors, surgeons were already using a mechanised, adjustable operating table – the first of its kind in Canada – that was particularly effective in fracture cases since it allowed X-ray imaging to be performed on the spot.

    Pursuit of innovation in healthcare

    Since those early days, a great deal has changed. Back then, the JGH was an autonomous healthcare institution. In contrast, today, it is the central pillar in a network of 34 interconnected and interdependent facilities, known as the Integrated Health and Social Services University Network for West-Central Montreal (or, more commonly, CIUSSS West-Central Montreal).

    What has not changed, however, is the hospital’s – and, by extension, the entire network’s – intense dedication to healthcare innovation and research. This dedication is driven by a determination to deliver exceptional care that focuses on and responds to the needs of individual patients, clients, and other healthcare users.

    Far from being a recent product of the digital age, the pursuit of innovation is deeply embedded in the DNA of the Jewish General Hospital and CIUSSS West-Central Montreal, with roots that date all the way back to that early operating room.

    Dr Lawrence Rosenberg, President and CEO of CIUSSS West-Central Montreal, said: “This drive for innovation has manifested itself not just in a willingness to embrace change, but in a desire to actively nurture creative thinking and evidence-based research.

    healthcare innovation

    “At the same time, we understand what should not be changed: Compassion for our patients, one-to-one contact with them, respect for their feelings, and a commitment to listening to their concerns. Though we take pride in improvements to our practices and technology, our obligation is to keep asking ourselves, ‘What more can we do?’”

    The result, most recently, has been a spate of impressive and, on occasion, award-winning initiatives. These include C4, a Command Centre where dozens of screens provide staff with real-time, network-wide data about numerous aspects of patient care; the Hospital@Home programme, in which certain qualified patients return home, where a hospital-based care team continuously and remotely monitors them; and the Connected Health Record (now in its preliminary phase), which will enable staff to use a single application to quickly and easily review a full range of up-to-date medical information about any patient seen at any CIUSSS site.

    OROT

    Of key importance in guiding the JGH and the CIUSSS in new directions is OROT (Hebrew for ‘illumination’), a connected health innovation hub and incubator.

    With one of the most comprehensive and distinctive innovation programmes in a healthcare setting in Canada, OROT has a mandate to support organisation-wide efforts to reimagine the future of care through adaptive culture change, strategic foresight, digital transformation and the co-creation of technology.

    Over the past four years, OROT has helped the CIUSSS leap toward a future where user-centric technology is assisting clinicians to provide more and better care, with improved results, to patients who are empowered to take charge of their health.

    OROT’s many services are designed to support the network’s employees in reimagining the way they provide care. They do so by helping them gain knowledge and skills related to digital technology, leading them through the process of open, user-centric innovation, and offering them expertise in managing innovation and integrating technology.

    To assist in building a future-proof healthcare system, OROT employs methods that involve strategic foresight to help the organisation consider how the trends that shape healthcare will affect the way that services must adapt in order to be resilient and thrive amid change.

    In 2023, OROT facilitated two major cross-functional workshops to lead the directorates of CIUSSS West-Central Montreal through the process of future backcasting by equipping them with the means of anticipating and growing excited about taking the lead in transforming healthcare. Their goal was to re-imagine a primary-care centre and medical library of the future.

    Through its internationally recognised incubation programme, OROT also fosters the creation and commercialisation of the next generation of digital health technologies. OROT offers a unique and integrated environment based on interdisciplinary collaboration and the process of co-creation and validation of new technologies. The aim is to catalyse their development, commercialisation, market launch, and, ultimately, user adoption.

    To do this, OROT facilitates access and collaboration among health professionals, users, and entrepreneurs. Together, they cooperate in developing and implementing tools and products that satisfy the practical, real-world needs of patients and the requirements of the professionals who provide care.

    The creation of innovative digital health technologies begins with an idea, which is tested, developed, and then commercialised. The process ends when the innovation – often in the form of a new tool or product – arrives in the hands of users, who may be clinicians, patients or caregivers. However, the journey to the marketplace can be very treacherous, as more than 95% of companies fail in the course of trying to serve the healthcare sector.

    Danina Kapetanovic, the CIUSSS’s Chief Innovation Officer, Founder, and Head of OROT, notes that few companies succeed in developing and integrating technologies that truly transform healthcare because they use strategies that originate in the tech sector. As a result, companies start by inventing a product and then hope prospective consumers will find a good reason to buy it.

    Ms Kapetanovic explained: “A better approach – our approach – is to support needs-driven innovation. As an initial step, we help entrepreneurs acquire a deep understanding of a particular problem in the healthcare sector. They gain this understanding through direct contact – facilitated by OROT – with healthcare professionals, patients and their families. This gives them a sound basis for designing technology that is uniquely suited to solving a problem.”

    Working with entrepreneurs and experts from CIUSSS West-Central Montreal, OROT uses an integrated model of co-development, testing and evaluation, and implementation that is user-centric and informed by large-scale data science. The goal is to ensure that the proposed product will meet everyone’s requirements by the time it reaches the marketplace.

    Utilising the OROT platform

    Using this dynamic approach, OROT has made many unique endeavours possible. Among them (to name only a few):

    Improving communication

    Braver, a Québec startup that had developed an app for secure clinical communication, worked with OROT to enhance the platform to improve contact between clinicians and patients. Since early 2023, the app has been used in a paediatric setting in CIUSSS West-Central Montreal to give parents greater insight into the nature of their child’s therapy and to improve communication with therapists.

    Harnessing AI

    Partnering with IVADO Labs for their AI expertise and the CIUSSS’s Logistics Directorate, OROT has helped co-design and is currently testing an AI tool that will make logistics at the CIUSSS more accurate, cost-effective, efficient and proactive, thereby saving valuable resources.

    Improving telephone services

    OROT is collaborating with a CIUSSS directorate for proximity services and with a Québec company, VitrAi, by bringing in AI support to optimise the regional health consultation telephone service.

    Optimised patient triage

    In collaboration with the Toronto company Signal 1 and with the CIUSSS’s Hospital@Home programme, OROT is supporting the co-design of an algorithm that will allow for optimised patient triage.

    Cutting-edge technologies

    OROT has helped bring several cutting-edge technologies into the network. These include remote vital-sign monitoring devices currently used in the Hospital@Home programme, augmented reality to improve the care and stimulation of elderly individuals with Alzheimer’s disease, AI support to optimise patient scheduling in oncology clinics, sensors to optimise telerehabilitation services, and point-of-care blood and urine testing.

    Comprehensive and tailored approach

    Ms Kapetanovic points out that OROT is internationally recognised as a rarity among incubators. It guides and steers companies throughout the cycle of innovation while providing them with ongoing support and coaching until their products are integrated into the healthcare continuum.

    This invaluable assistance – and its subsequent contribution to improving the quality of care – is the reason OROT has become an essential component of ‘Care Everywhere’, the broad-based, patient-centred approach to care that is fundamental to CIUSSS West-Central Montreal. As Dr Rosenberg notes, “Using ‘Care Everywhere’ as our guidepost, we continually strive to achieve the right outcomes by delivering the right care at the right time in the location that is most appropriate, safest and most convenient for patients and other healthcare users.” See OROT and the cycle of innovation graph pictured below.

    Dedicated research facilities

    Like innovation, research also has deep roots in the many facilities of CIUSSS West-Central Montreal, particularly at the Jewish General Hospital. During the JGH’s earliest decades, research was conducted in any adequate corner that happened to be available.

    However, as the hospital grew in size and stature, the need for a dedicated research wing became increasingly apparent. Since its inauguration in 1969, the Lady Davis Institute for Medical Research (LDI) has grown into one of Canada’s leading research facilities. In addition to conducting pure research, it encourages researcher-clinicians to pursue projects that have practical applications, taking them from the bedside to the laboratory and back again.

    Over the years, the LDI has attracted outstanding investigators with national and international reputations in such specialised areas as cancer therapeutics, molecular oncology, cell and gene therapy, AIDS/HIV, ageing, hypertension and cardiovascular disease, clinical epidemiology, and the psychosocial aspects of the disease.

    With a staff of over 400 employees, including more than 200 investigators and at least 290 trainees, the LDI received nearly $32m in grants and produced a total of 829 peer-reviewed publications in 2023.

    Success stories

    The LDI has made a significant impact with many of its projects, including the following:

    BioPortal

    The BQC19-JGH Biobank implements hospital-based genomic medicine to improve clinical care, improve the diagnosis of disease, upgrade the efficiency of test ordering, and enhance the prediction of drug responses.

    Building on the success of BQC19, the BioPortal was established in 2022 as a bio-banking programme dedicated to conducting research into a range of diseases. Investigators are using the genetic information collected from a diverse population to better understand risk factors and causes of diseases, with the ultimate goal of improving clinical care.

    BioPortal currently focuses on improving care for diabetes and will expand to other diseases.

    Brain cell research

    A team of researchers from across North America, co-led by a principal investigator at the LDI, has discovered that certain brain cells may be inherently vulnerable to mutations that cause high-grade gliomas (highly aggressive and fatal paediatric brain tumours). These findings could help guide the design of clinical trials for new and improved therapies against the leading cause of cancer-related deaths in children and young adults.

    The Scleroderma Patient-centred Intervention Network

    The Scleroderma Patient-centred Intervention Network (SPIN), led by a senior LDI investigator, is the largest cohort-based trial infrastructure in any rare disease in the world. It maintains a cohort of over 2,300 active participants in 50 centres in seven countries, in collaboration with more than 100 researchers and patients from almost 15 patient organisations. Individuals and organisations involved in SPIN are working on a novel project to develop, adapt and test new and existing programmes to help people with scleroderma cope with their illness and manage their daily lives.

    Plasmonic PCR

    A team of LDI researchers has developed a rapid plasmonic point-of-care PCR platform to detect pathogens associated with pandemics or antimicrobial resistance. This was the first plasmonic POC prototype built entirely in Montreal. Plasmonic PCR is simple, quick and efficient, with a prototype that has been successfully tested in detecting chlamydia, gonorrhoea, sars-COV2, HIV, HCV and e. coli.

    Virtual biopsy development

    One of the most powerful and novel technologies in oncology is the development of assays to detect cancer DNA (ctDNA) in the blood. A lab at the LDI is developing a virtual biopsy for precision oncology – i.e., a platform to detect minimal residual cancer in breast cancer patients treated with chemotherapy and surgery.

    This test aims to generate personalised ctDNA assays to accurately predict the prognosis of each patient and determine the indication for further anti-cancer therapy. The project is funded by a grant from Genome Québec to support the translation of this platform to the clinic for patients with early breast cancer.

    Dr Rosenberg said: “No doubt, a time traveller from 1934 would be dazzled by these and many other of our developments in innovation and research. However, the impetus behind them would be instantly recognisable: To acquire, adapt or develop the best existing practices and technology and to place them in the caring, compassionate hands of our staff. Today and for nearly a century, we have not simply been waiting for tomorrow to arrive; we are making it happen.”

    Please note, this article will also appear in the 19th edition of our quarterly publication.

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  • Intelligent Health 2024: Leading the healthtech revolution

    Intelligent Health 2024: Leading the healthtech revolution

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    Innovation News Network is delighted to announce that we are a Community Partner of the upcoming Intelligent Health 2024 held in Basel from September 11-12.

    For the seventh consecutive year, Intelligent Health is set to unite senior decision-makers from across the global healthcare ecosystem.

    This premier event will bring together leaders from pharmaceuticals, life sciences, medtech, health providers and trusts, big tech companies, startups, investors, academics, and policymakers.

    But this event is not just about discussions; it’s about action and tangible change in the global healthcare landscape.

    Actionable insights for global healthcare transformation

    Intelligent Health 2024 promises to equip attendees with actionable insights and best practices aimed at driving demonstrable improvements within their organisations.

    The focus is on leveraging innovative solutions to enhance global healthcare outcomes, benefiting all of humankind. The comprehensive programme for 2024 is now live, offering a unique opportunity to engage with experts and thought leaders.

    AI in medicine’s pivotal point

    Artificial intelligence (AI) and machine learning are revolutionising global healthcare. These technologies are streamlining decision-making, automating processes, and introducing innovative problem-solving techniques.

    The impact of AI is vast, from amplifying disease diagnosis to suggesting treatment plans and enhancing public health and safety. AI’s potential to save lives, time, and money is limitless.

    However, the healthcare sector is one of the most regulated industries in the world. This raises important questions about the future of health: How can we navigate this ever-changing landscape expertly?

    Is innovation being stifled by the regulations designed to protect us? How can we ensure that innovation remains transparent, accountable, and ethical?

    Intelligent Health 2024 will unite senior decision-makers from pharmaceuticals, life sciences, medtech, health providers and trusts, big tech companies, startups, investors, academics, and policymakers.

    Together, they will work to revolutionise patient outcomes and set a roadmap for success in AI-driven healthcare.

    Empowering healthcare change

    The event will focus on understanding the pain points for healthcare providers and patients, examining potential solutions to streamline processes and improve patient journeys.

    Attendees will receive top tips and practical advice from clinicians and frontline care providers on implementing and scaling AI and technology in hospital settings.

    Participants will also have the opportunity to learn about the latest AI and technological innovations designed to alleviate administrative burdens and present new opportunities in drug discovery and throughout the value chain.

    A multi-disciplinary approach will be emphasised, showcasing the critical role of collaborative efforts in overcoming challenges and maximising the potential of AI and machine learning.

    Click here to secure your tickets today and be part of the global movement to drive actionable change in healthcare and improve outcomes for all.

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  • New government scheme helps UK chip start-ups raise £10m

    New government scheme helps UK chip start-ups raise £10m

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    11 chip start-ups working on semiconductors that make AI more efficient and create new lifesaving healthcare tech have joined a government-backed support service to help turn their research into business realities.

    Semiconductor chips are fundamental to the technology that we interact with daily, underpinning everything from smartphones to AI and advanced medical devices.

    The companies will be the second group to go through ChipStart, an incubator programme launched in October 2023 with £1.3m of backing to nurture a new generation of chip start-ups.

    It will also stimulate investment, totalling nearly £20m in commitments from private investors and grants, to help drive economic growth.

    The chip start-ups pioneering the next generation of innovation

    POM Health is among the companies joining the second round of the programme. It is pioneering the use of semiconductors to create a wearable patch for continuous hormone monitoring.

    This technology could transform healthcare by enhancing fertility treatments, offering women precise, real-time insights into their hormonal health.

    HeronIC, another chip start-up joining the programme, has developed a software design tool that quickly creates custom chips for AI applications, boosting their energy efficiency and increasing performance for complex tasks.

    After receiving this support over the last year, Vaire Computing raised £4.5m to develop revolutionary chips that use virtually no power. This innovation in energy efficiency has the potential to significantly extend smartphone battery life.

    With Vaire’s semiconductors, smartphones could soon only need charging once a month.

    Another cohort member, Wave Photonics, closed an early funding round at £4.5m for their tool, which simplifies the design of highly complex photonic chips, chips that use light instead of electricity, meaning they operate at much faster speeds and use much less power.

    Leading a semiconductor revolution in the UK

    Following a first round that saw participants close over £10m of funding from private investors and grants, with a total of nearly £20m in commitments being finalised, ChipStart will continue to provide chip start-ups with:

    • Access to commercial design capability: Including the full Silicon Catalyst ecosystem, design tools, IP, and prototyping capability.
    • Commercial expertise and mentorship: Startups receive guidance from experienced semiconductor industry executives and connections to Silicon Catalyst’s global network.
    • Exposure to private capital: Access to over 270 Silicon Catalyst advisors, Strategic Partners, and an extensive network of investment groups.

    Minister for Science Patrick Vallance said: “Innovation in semiconductors can underpin technological advancements in every field, from AI to consumer devices and health tech.

    “British researchers across the country are leading in R&D in this essential field, and the support we are delivering through ChipStart is helping their ideas become reality.”

    He added: “In addition to the commercial success of the first cohort, the innovations ChipStart is supporting could help to change lives, from helping to develop new fertility treatments to optimising AI and extending the battery life of devices we use every day.

    “We are making sure British science leadership converts to help address critical global challenges and drive economic growth.”

    On completion, the pilot will provide the UK’s semiconductor industry with a pipeline of new startups with innovative products and routes to market that are a foundation for future growth, including routes to future seed funding.

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  • Could AI help detect cancer early?

    Could AI help detect cancer early?

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    A new study indicates that doctors may soon be able to use artificial intelligence (AI) to detect cancer in patients, allowing for earlier treatment.

    Cancer remains one of the most challenging human diseases, with over 19 million cases and ten million deaths annually.

    The evolutionary nature of cancer also makes it difficult to treat late-stage tumours.

    The new paper is published in Biology Methods & Protocols.

    Studying DNA bases to detect cancer

    Genetic information is encoded in DNA by patterns of the four bases—denoted by A, T, G and C—that make up its structure.

    Environmental changes outside the cell can modify some DNA bases by adding a methyl group, which contains millions of ‘methylation marks’.

    Researchers have observed changes to these marks in early cancer development, meaning they could detect cancer early.

    It’s possible to examine which bases in DNA are methylated in cancers and to what extent, compared to healthy tissue.

    Identifying the specific DNA methylation signatures indicative of different cancer types is akin to searching for a needle in a haystack.

    This is where the researchers involved in this study believe that AI can help detect the type of cancer a patient is suffering from.

    Training AI modes to study DNA

    Investigators from Cambridge University and Imperial College London trained an AI mode using a combination of machine and deep learning to examine DNA methylation patterns and detect cancer.

    The AI mode successfully identified 13 types of cancer, including breast, liver, lung, and prostate, from non-cancerous tissue with 98.2% accuracy.

    This model relies on tissue samples (not DNA fragments in blood) and would need additional training and testing on a more diverse collection of biopsy samples to be ready for clinical use.

    The researchers here believe that an important aspect of this study was the use of an explainable and interpretable core AI model, which provided insights into the reasoning behind its predictions.

    Identifying these unusual methylation patterns (potentially from biopsies) would allow healthcare providers to detect cancer early. This could potentially improve patient outcomes dramatically, as most cancers are treatable or curable if detected early enough.

    “Computational methods such as this model, through better training on more varied data and rigorous testing in the clinic, will eventually provide AI models that can help doctors with early detection and screening of cancers,” concluded Shamith Samarajiwa, the study’s lead author.

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  • Canada invests $10.7m in AI-enhanced image-guided therapy

    Canada invests $10.7m in AI-enhanced image-guided therapy

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    INOVAIT and the Government of Canada have announced a $10.7m investment for AI-enhanced image-guided therapy under the second iteration of INOVAIT’s Focus Fund programme.

    Image-guided therapy (IGT) is the practice of using medical imaging to plan, perform, and evaluate medical interventions.

    The INOVAIT network supports Canadian innovators who are unleashing the power of AI through IGT’s precision therapy and treatment to streamline healthcare and improve healthcare outcomes.

    “Canada has tremendous strength in the research and development of medical imaging and AI technologies,” stated Kullervo Hynynen, Co-Executive Director of INOVAIT and Vice-President of Research and Innovation at SRI.

    “We need to capitalise on this opportunity and leverage both these strengths to advance technologies that can improve clinical outcomes and healthcare efficiencies.”

    Integrating machine learning into image-guided therapy

    Seven high-potential projects will integrate machine learning capabilities into IGT technologies through this iteration of the Focus Fund programme.

    Focus Fund project members will invest an additional $21.3m in these projects, for a total influx of $32m into the Canadian IGT sector.

    The Focus Fund contributions will help attract investments into these Canadian technology companies, create jobs for highly skilled professionals, and cement Canada’s status as a global leader in image-guided therapy and AI innovation.

    François-Philippe Champagne, Canada’s Minister of Innovation, Science and Industry, explained: “INOVAIT’s Focus Fund represents the natural evolution for promising pilot fund projects in the area of image-guided therapy and helps attract key investments for these innovative Canadian technology companies.

    “We look forward to seeing all progress made in advancing the field through artificial intelligence and machine learning integration.”

    Which projects have received the funding?

    Selected Focus Fund projects include:

    • Profound Medical: Profound Medical’s Focus Fund project will improve outcomes for men undergoing MRI-guided transurethral ultrasound ablation (TULSA) by leveraging AI across the three stages of their prostate cancer journey
    • MIMOSA Diagnostics: MIMOSA’s Focus Fund project will deploy a handheld multispectral imaging tool for nurses in long-term care homes to assess and treat residents at risk of developing or having active pressure injuries

    “By providing a platform to connect, educate and invest in the most promising ventures, INOVAIT is pushing boundaries and working to improve health outcomes,” concluded Pam Damoff, Parliamentary Secretary to the Minister of Foreign Affairs.

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  • AI alerts can help improve patient outcomes, study finds

    AI alerts can help improve patient outcomes, study finds

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    Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in improving clinical deterioration models, a new study has found.

    The research found that patient outcomes increased if their care team received AI-generated alerts signalling adverse changes in their health.

    Hospitalised patients were also 43% more likely to have their care escalated if the ward used AI alerts.

    “We wanted to see if quick alerts made by AI and machine learning, trained on many different types of patient data, could help reduce both how often patients need intensive care and their chances of dying in the hospital,” said Matthew Levin, who led the study.

    “Our study shows automated machine learning algorithm scores that trigger evaluation by the provider can outperform these earlier methods in accurately predicting this decline.”

    AI alerts increase the chance of rapid intervention

    The prospective study looked at 2,740 adult patients who were admitted to four medical-surgical units at Mount Sinai Hospital in New York.

    The patients were split into two groups: one that received real-time alerts based on the predicted likelihood of deterioration, sent directly to their nurses and physicians or a rapid response team of intensive care physicians, and another group where alerts were created but not sent.

    In the units where the alerts were suppressed, the rapid response team urgently intervened with patients who met standard deterioration criteria.

    The future of technology in improving patient outcomes

    David Reich, one of the study’s senior authors, commented: “Our research shows that real-time alerts using machine learning can substantially improve patient outcomes.

    “These models are accurate and timely aids to clinical decision-making that help us bring the right team to the right patient at the right time.

    “We think of these as ‘augmented intelligence’ tools that speed in-person clinical evaluations by our physicians and nurses and prompt the treatments that keep our patients safer.”

    Due to the study, a team of intensive care physicians visits the 15 patients with the highest prediction scores every day and makes treatment recommendations to the doctors and nurses caring for the patient.

    As the algorithm is continually retrained on larger numbers of patients over time, the assessments by the intensive care physicians serve as the gold standard of correctness, and the algorithm becomes more accurate through reinforcement learning.

    In addition to this clinical deterioration algorithm, the researchers have developed and deployed 15 additional AI-based clinical decision support tools throughout the Mount Sinai Health System.

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