Ylenia Rotalinti, Allan Tucker, Michael Lonergan, Richard Branson and Puja Myles. Detecting Drift in Healthcare AI Models based on Data Availability. (Link to paper)

Damir Zhakparov, Kathleen Moriarty, Nonhlanhla Lunjani, Marco Schmid, Carol Hlela, Michael Levin, Avumile Mankahla, Sos-All Consortium, Cezmi Akdis, Liam O'Mahony, Katja Baerenfaller and Damian Roqueiro . Assessing Different Feature Selection Methods applied to a bulk RNA Sequencing Dataset with regard to Biomedical Relevance. (Link to paper)

Giulia Marchello, Marco Corneli and Charles Bouveyron. A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Count Data Matrices: application to Pharmacovigilance. (Link to paper)

Linyi Zhou and Ioanna Miliou. Predicting Drug Treatment for Hospitalized Patients with Heart Failure. (Link to paper)

Hamid Mousavi and Jörg Lücke. Probabilistic Inference for Medical Data With Diverse Data Types Using Exponential Family LVMs. (Link to paper)

Franco Rugolon, Maria Bampa and Panagiotis Papapetrou. A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients. (Link to paper)

Xuchun Zhang, Michel Riveill and Milou-Daniel Drici. Unsupervised Text Clusterisation to Characterize Adverse Drug Reactions from Hospitalization Reports. (Link to paper)

Keyuan Jiang, Minghao Zhu and Gordon Bernard. Few-Shot Learning for Identification of COVID-19 Symptoms Using Generative Pre-Trained Transformer Language Models. (Link to paper)

Rohan Banerjee and Avik Ghose. A Light-weight Deep Residual Network for Classification of Abnormal Heart Rhythms on Tiny Devices. (Link to paper)