Th.1.8.1
PREDICTING POSTOPERATIVE OUTCOMES IN HEART TRANSPLANTATION USING OPERATIVE REPORTS
Adrian Steene, Christoffer Sylve, Pierre Nugues, Johan Nilsson, Lund University
Session:
Th.1.8: AI, Machine Learning & Clinical Prediction Oral
Track:
Therapeutic & Diagnostic Systems and Technologies
Location:
Room 701A
Presentation Time:
Thursday, 30 July, 08:30 - 08:45
Session Co-Chairs:
Tiancheng Cao and Giulia Bodo
Presentation
Discussion
Resources
No resources available.
Session Th.1.8
Th.1.8.1: PREDICTING POSTOPERATIVE OUTCOMES IN HEART TRANSPLANTATION USING OPERATIVE REPORTS
Adrian Steene, Christoffer Sylve, Pierre Nugues, Johan Nilsson, Lund University
Th.1.8.2: TARGET-AWARE DE NOVO DRUG DESIGN USING LANGUAGE MODELS AND REINFORCEMENT LEARNING
Salma Ahmed, Emad Mohammed, wilfrid laurier university
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
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
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
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
Resources
No resources available.