Transforming Diagnostics with AI

The AI-Enabled Diagnostics Stage will discuss how AI is accelerating genomic interpretation, digital pathology and multimodal diagnostics. 

There are also a range of networking activities and workshops for people working in Diagnostics, please see here for more information.

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11:30
  1. AI Agents for Rare Disease Diagnosis: Accelerating Variant Interpretation in Clinical Genomics
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Damian Smedley
    Damian Smedley, Professor of Computational Genomics, Queen Mary University of London
12:30
  1. Towards Nucleotide Resolution Genomic Medicine: Scaling MAVEs
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Matthew Hurles
    Matthew Hurles, Director, Wellcome Sanger Institute
13:00
  1. Lunch & Networking Break
    AI-Enabled Diagnostics Stage
    90 mins
14:30
  1. From Cells to Code: Building AI-Enabled Multimodal Diagnostics for Precision Haematology
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Torsten Haferlach
    Torsten Haferlach, Co-Founder and CEO, Munich Leukemia Laboratory (MLL)
15:00
  1. Sponsored by Congenica. More details to be announced shortly.
    AI-Enabled Diagnostics Stage
    30 mins
15:30
  1. Unlocking Legacy Data for AI: Building Multimodal Datasets Across Genomics, Pathology and Imaging
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Liz Merrifield
    Liz Merrifield, Informaiton Governance Lead, Wales Gene Park
16:00
  1. Networking Break
    AI-Enabled Diagnostics Stage
    30 mins
16:30
  1. Bridging the Gap Between Aspirations and Reality in Dig Path and AI Implementation in the NHS
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Sarah Coupland
    Sarah Coupland, Professor and Honorary Consultant in Pathology, University of Liverpool
17:00
  1. Sponsored slot available
    AI-Enabled Diagnostics Stage
    30 mins
17:30
  1. Digital Pathology in the AI Era: Unlocking The Future of of AI-Enabled Diagnostics
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Daljeet Bansal
    Daljeet Bansal, NPIC Director of Operations, Leeds Teaching Hospitals NHS
11:30
  1. Application of Language Models to Variant Interpretation
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Joseph Halstead
    Joseph Halstead, Lead Bioinformatician, All Wales Medical Genomics Service
12:00
  1. From Digital Twins to Treatment Decisions: Using AI to Predict Outcomes and Personalise AML Therapy
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Oisin Brady
    Oisin Brady, PhD Student, Cardiff University
12:30
  1. AI-Enabled Genomic Infrastructure to Support Population-Level Decision-Making
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Alexander Deng
    Alexander Deng, Consultant in Genomic AI, NHS Genomic AI Network
13:00
  1. Lunch & Networking Break
    AI-Enabled Diagnostics Stage
    70 mins
14:10
  1. Designing Imaging AI for Clinical Translation from Day One
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Claudia Lindner
    Claudia Lindner, Senior Research Fellow in Translational Medical Imaging, University of Manchester
14:40
  1. From Clinical Text to Deep Phenotypes: Using Multimodal AI to Unlock Genomic Insight
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Sneha Jha
    Sneha Jha, R&D Lead, The Queen's University Belfast
15:10
  1. From Validation to Deployment: Making Imaging AI Work in the Real World
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Sonam Vadera
    Sonam Vadera, RCR AI Course Lead, The Royal College of Radiologists
16:10
  1. Who Does Diagnostic AI Actually Work For? Preventing AI from Widening Health Disparities
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Amaka Offiah
    Amaka Offiah, Professor of Paediatric Musculoskeletal Imaging, University of Sheffield
16:40
  1. From Snapshot Medicine to Longitudinal Diagnostics
    AI-Enabled Diagnostics Stage
    30 mins
    Speaker(s)
    Speaker image for Aldo Faisal
    Aldo Faisal, Professor of AI & Neuroscience, Imperial College London