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X-ORIGINAL-URL:https://hrc-surgical.nihr.ac.uk
X-WR-CALDESC:Events for NIHR HealthTech Research Centre in Accelerated Surgical Care
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DTSTART:20240101T000000
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DTSTART;TZID=UTC:20250403T093000
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SUMMARY:Workshop on AI and data driven methods for Health Challenges Invitation
DESCRIPTION:Dear colleagues\, \nWe are pleased to invite you to an upcoming workshop designed to foster collaboration and the development of interdisciplinary research ideas for external grant applications that address Health Challenges (details of the challenge areas listed below). \nEvent Details:\nDate: 3rd of April 2025\nTime: 09:30-15:00\nLocation: TBC on campus at the University of Leeds. \nAbout the Workshop: \nThere are huge opportunities in developing and applying AI techniques to health challenges\, ranging from using tools to analyse MRI images\, applying physics-inspired machine learning to understand blood flow in the heart\, through to analysing population-level health data and informing the design of better cities to reduce air pollution. These are just a few examples—there are many more exciting areas where AI can make a difference in health. The workshop will explore a wide range of opportunities and challenges\, including ensuring AI methods are safe\, reliable\, and equitable in situations that can directly impact people’s health. \nWho Can Participate:\nWe are looking for Leeds academics and clinicians with expertise in; \n· fundamental or applied research that is applicable to challenges in health;\n· AI tools\, techniques and methods that can be applied to health challenges;\n· exploring new ways to solve health challenges\, especially those with access to relevant data.\nParticipants should be able to commit to the full duration of the workshop and a follow-up support session and be planning to submit an external research grant application in the next 12-18 months. If you are a clinician interested in the workshop but unable to commit to the full duration\, please let us know. \nBenefits to taking part: The opportunity to develop new and existing collaborations; dedicated time with experienced facilitators to help develop interdisciplinary research ideas; support for the preparation of grant proposals based on developed ideas. \nThe agenda for the workshop is attached for your reference. \nRegister online by the 27th March. Spaces are limited\, so we encourage early registration. \nIf you have any questions\, please contact Bharat Pokhrel b.pokhrel@leeds.ac.uk. \nHealth Challenge Areas: \n· Challenge area 1 – Transforming early prediction and diagnosis:\no Tools to advance earlier diagnosis and detection of disease – developing novel tools\, including cutting-edge AI-driven technologies\, non-invasive sensors\, devices\, and advanced medical imaging\, to enhance early diagnosis and disease detection through improved image visualization and interpretation.\no Novel techniques for patient specific diagnosis – new methods for recognizing abnormal data patterns and leveraging advanced digital technologies\, particularly artificial intelligence\, modelling\, simulations\, and digital twins\, alongside data analytics\, to predict susceptibility to illness.\n· Challenge area 2 – Improving population health and prevention:\no Population models: developing new tools and technologies\, such as AI-driven models\, to analyse population data and support communities and health professionals. By leveraging advancements in machine learning\, these tools can predict variations in disease phenotypes at individual and population levels and forecast infectious disease spread\, offering valuable guidance and early warnings.\no Predictive approaches to a healthy society: developing novel tools and technologies\, such as digital twins\, to model wellness and understand normal health. It involves creating systems to monitor disease\, detect deviations\, and identify risk factors. By harnessing digital technologies and data analytics\, these tools can discover indicators of susceptibility\, stratify at-risk groups\, and support personalised interventions to help individuals stay healthy and avoid complications.\no Engineering healthier environments: advancing research on smart cities\, assistive technologies\, robotics\, and AI to transform the built environment into a proactive tool for health and wellbeing. This includes preventing infection spread\, redesigning spaces to promote wellbeing\, and creating future living environments.
URL:https://hrc-surgical.nihr.ac.uk/event/workshop-on-ai-and-data-driven-methods-for-health-challenges-invitation/
LOCATION:University of Leeds\, Parkinson Building\, Leeds\, West Yorkshire\, LS2 9JT\, United Kingdom
CATEGORIES:HRC Partner Events
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