Multimodal ML For Stratifying People With Myalgic Encephalomyelitis Using Data from the Visible App and the DecodeME Genetics Project
Supervisors Chris Ponting (e-mail)Sjoerd Beentjes (e-mail)Ava Khamseh (e-mail) Project Description Myalgic Encephalomyelitis (also Chronic Fatigue[…]
Robust Experimental Design With An Antibiotic Resistance Model
Supervisors Michael Gutmann (e-mail)Andrea Weisse (e-mail) Project Description Antimicrobial resistance poses an imminent threat to[…]
Deep Learning Driven Multiple Sclerosis Progression Monitoring and Prediction
Supervisors Paul Patras (e-mail)Rik Sarkar (e-mail) Project Description 2.8 million people are living with MS[…]
Novel Image Feature Discovery from OCTs to Predict Visual Outcome After Macular Hole Surgery to Inform Clinical Decision Making
Supervisors Heather Yorston, heather.yorston@ed.ac.ukStuart King, s.king@ed.ac.uk Project Description Idiopathic full-thickness macular holes (MHs) form secondary[…]
This work is supported by the United Kingdom Research and Innovation (grant EP/Y030869/1).
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