26-30 July 2026

EMBC 2026

Toronto, Canada
Th.1.8: AI, Machine Learning & Clinical Prediction
Thursday, 30 July, 08:30 - 10:00
Location: Room 701A
Session Type: Oral
Session Co-Chairs: Tiancheng Cao and Giulia Bodo
Theme 8: Therapeutic & Diagnostic Systems and Technologies
Thu, 30 Jul, 08:30 - 08:45

Th.1.8.1: PREDICTING POSTOPERATIVE OUTCOMES IN HEART TRANSPLANTATION USING OPERATIVE REPORTS
Adrian Steene, Christoffer Sylve, Pierre Nugues, Johan Nilsson, Lund University
Thu, 30 Jul, 08:45 - 09:00

Th.1.8.2: TARGET-AWARE DE NOVO DRUG DESIGN USING LANGUAGE MODELS AND REINFORCEMENT LEARNING
Salma Ahmed, Emad Mohammed, wilfrid laurier university
Thu, 30 Jul, 09:00 - 09:15

Th.1.8.3: AUTOMATIC DIFFERENTIATION IN POPULATION PHARMACOKINETIC MODELS: FULL AND STOP GRADIENTS VS FINITE DIFFERENCES
Guido Jajamovich, William Holmes, Chih-Wei Lin, Khamir Mehta, Amgen
Thu, 30 Jul, 09:15 - 09:30

Th.1.8.4: Learning Using Privileged Information for Objective Assessment of Friedreich’s Ataxia
Kanishka Ranaweera, Deakin University; Louise Corben, Sarah Milne, Murdoch Children’s Research Institute; Malcolm Horne, University of Melbourne; Martin Delatycki, Murdoch Children’s Research Institute; Pubudu Pathirana, Deakin University
Thu, 30 Jul, 09:30 - 09:45

Th.1.8.5: A Machine Learning Pipeline for Automated Classification of Biological Tissues using Laser-Induced Breakdown Spectroscopy (LIBS)
Rene Fernando Sosa-Santos, Adrián Martín-Montero, José Luis Arce-Diego, Félix Fanjul-Vélez, Biomedical Engineering Group, Universidad de Cantabria
Thu, 30 Jul, 09:45 - 10:00

Th.1.8.6: ESTIMATING HYPOXIC-ISCHEMIC BRAIN INJURY TIMING FROM EARLY FETAL SHEEP EEG WITH TRANSFORMER-BASED AI
Sooyoung Park, Callan Maurice Loomes, Joanne Davidson, Nima Sadeghzadeh, Alistair Jan Gunn, Laura Bennet, Hamid Abbasi, The University of Auckland