Accepted Submissions

• Pieter Dewulf, Michiel Stock and Bernard De Baets (University of Ghent). Predicting drug--drug interaction effects as a triple link prediction problem. (Link to paper)

• Onur Can Uner, Halil İbrahim Kuru (Bilkent University), R. Gokberk Cinbis (Middle East Technical University), Oznur Tastan (Sabanci University) and A. Ercument Cicek (Bilkent University) . DeepSide: A Deep Learning Approach for Drug Side Effect Prediction. (Link to paper)

• Pavithra Rajendran, Alexandros Zenonos, Josh Spear and Rebecca Pope (KPMG LLP). Embed Wisely: An Ensemble approach to predict ICD Coding. (Link to paper)

• Fayyaz Ul Amir Afsar Minhas (University of Warwick), Michael Toss (University of Nottingham), Noor Ul Wahab (University of Warwick) , Emad Rakha (University of Nottingham) and Nasir Rajpoot (University of Warwick). L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients. (Link to paper)

• Nuria García-Santa and Kendrick Cetina (Fujitsu Research of Europe [FRE]). Extracting Multilingual Relations with Joint Learning of Language Models. (Link to paper)

• Aidan Cooper, Orla Doyle and Alison Bourke (IQVIA). Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology. (Link to paper)

• Tommaso Di Noto, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Meritxell Bach Cuadra, Patric Hagmann and Jonas Richiardi. (Lausanne University Hospital [CHUV] and University of Lausanne [UNIL]). Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification. (Link to paper)

• Abhinav Sagar (VIT Vellore). VTBIS: Vision Transformer for Biomedical Image Segmentation. (Link to paper)

• Muhammad Dawood (University of Warwick), Kim Branson (GlaxoSmithKline), Nasir Rajpoot (University of Warwick) and Fayyaz Ul Amir Afsar Minhas (University of Warwick). All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. (Link to paper)

• Klest Dedja, Felipe Kenji Nakano, Konstantinos Pliakos and Celine Vens (KU Leuven). Explaining a Random Survival Forest by Extracting Prototype Rules. (Link to paper)

• Shirin Tavara (Chalmers University and University of Gothenburg), Alexander Schliep( Chalmers University and University of Gothenburg) and Debabrota Basu (Inria, CNRS). Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-based SVM. (Link to paper)

• Dominic Danks (University of Birmingham & The Alan Turing Institute) and Christopher Yau (University of Manchester, The Alan Turing Institute & Health Data Research UK). Derivative-based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. (Link to paper)

• Keyuan Jiang (Purdue University Northwest), Dingkai Zhang (Ningbo City College of Vocational Technology) and Gordon Bernard (Vanderbilt University). Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. (Link to paper)

• Xiong Liu, Cheng Shi, Iya Khalil and Murthy Devarakonda (Novartis). Scalable AI Approach to Clinical Trial Cohort Optimization. (Link to paper)

• Pallika Kanani, Virendra Marathe, Daniel Peterson, Rave Harpaz and Steve Bright (Oracle). Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions. (Link to paper)