COVIDx-US: An Open Benchmark Ultrasound Imaging Dataset for AI-Driven COVID-19 Diagnosis (15:45 - 16:45) [poster] [Zoom Link] - Ashkan Ebadi (National Research Council)*; PENGCHENG XI (National Research Council Canada); Alexander MacLean (University of Waterloo); Stéphane Tremblay (National Research Council); Sonny Kohli (Oakville Trafalgar Memorial Hospital, McMaster University); Alexander Wong (University of Waterloo)

Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks (10:00 - 11:10) [poster] [Zoom Link] - Johanna Vielhaben (Fraunhofer HHI); Markus A. Wenzel (Fraunhofer Heinrich Hertz Institute); Eva Weicken (Fraunhofer HHI); Nils Strodthoff (Fraunhofer HHI)*

A Machine Learning Model for Predicting Deterioration of COVID-19 Inpatients (10:00 - 11:10) [poster] [Zoom Link] - Omer Noy (Tel-Aviv University)*; Dan Coster (Tel-Aviv University); Maya Metzger (Tel-Aviv University); Itai Attar (Tel-Aviv University ); Shani Shenhar-Tsafraty (Tel-Aviv Sourasky Medical Center, Tel-Aviv University); Shlomo Berliner (Tel-Aviv University); Galia Rahav (Sheba Medical Center, Tel-Aviv University); Ori Rogowski (Tel-Aviv University); Ron Shamir (Tel-Aviv University )

Light Attention predicts Protein Location from the Language of Life (10:00 - 11:10) [poster] [Zoom Link] - Hannes Stärk (Technical University of Munich)*; Christian Dallago (Technical University of Munich); Michael Heinzinger (Technical University of Munich); Burkhard Rost (Technical University of Munich)

Bayesian detection and uncertainty quantification of the first change point of the COVID-19 case curve in the Midwest: Timeliness of non-pharmaceutical interventions. (10:00 - 11:10) [poster] [Zoom Link] - Alessandro Maria Selvitella (Purdue University Fort Wayne)*; Kathleen Lois Foster (Ball State University)

Transformer Neural Network for Structure Constrained Molecular Optimization (10:00 - 11:10) [poster] [Zoom Link] - Jiazhen He (AstraZeneca)*; Felix Mattsson (AstraZeneca); Marcus Forsberg (AstraZeneca); Esben Bjerrum (AstraZeneca); Ola Engkvist (AstraZeneca AB); Eva Nittinger (AstraZeneca); Christian Tyrchan (AstraZeneca); Werngard Czechtizky (AstraZeneca)

Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach (10:00 - 11:10) [poster] [Zoom Link] - Alexandra H Lee (Tufts University)*; Panagiotis Lymperopoulos (Tufts University); Joshua Cohen (Tufts Medical Center); John Wong (Tufts Medical Center); Michael Hughes (Tufts University)

Epidemic Log Gaussian Cox Process: Local Laplace Method and Closed-Forms (10:00 - 11:10) [poster] [Zoom Link] - Francois Buet-Golfouse (UCL)*; Hans Roggeman (Independent)

Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data (10:00 - 11:10) [poster] [Zoom Link] - Hari Prasanna Das (UC Berkeley )*; Ryan Tran (UC Berkeley); Japjot Singh (UC Berkeley); Xiangyu Yue (University of California, Berkeley); Geoffrey Tison (University of California, San Francisco); Alberto L Sangiovanni-Vincentelli (University of California, Berkeley); Costas J. Spanos (University of California at Berkeley)

FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic (10:00 - 11:10) [poster] [Zoom Link] - Aman Priyanshu (Manipal Institute Of Technology); Rakshit Naidu (Manipal Institute of Technology)*

Real-time pathogenicity prediction during genome sequencing of novel viruses and bacteria (10:00 - 11:10) [poster] [Zoom Link] - Jakub M Bartoszewicz (Hasso Plattner Institute)*; Ulrich Genske (Hasso Plattner Institute); Bernhard Renard (Hasso Plattner Institute)

COVID-19 incidence in the Indiana's secondary school system through a Conditional Gaussian model and an age-structured compartmental model (10:00 - 11:10) [poster] [Zoom Link] - Kale Menchhofer (Purdue University Fort Wayne); Nathan Mills (Purdue University Fort Wayne); Kathleen Lois Foster (Ball State University); Alessandro Maria Selvitella (Purdue University Fort Wayne)*

Drug Repurposing for Multiple COVID Strains using Collaborative Filtering (10:00 - 11:10) [poster] [Zoom Link] - Otto Kißig ( Hasso Plattner Institute); Martin Taraz (Hasso Plattner Institute); Sarel Cohen (Hasso Plattner Institute); Vanja Doskoc (Hasso Plattner Institute)*; Tobias Friedrich (Hasso Plattner Institute)

Managing an SIR Epidemic System via Optimal Control of Transmission Rate (10:00 - 11:10) [poster] [Zoom Link] - Harsh Maheshwari (Flipkart Internet Private Limited)*; Shreyas Shetty (Flipkart Internet Private Limited); Nayana Bannur (Wadhwani Institute for Artificial Intelligence); Srujana Merugu (Wadhwani Institute for Artificial Intelligence)

Epidemic Model Guided Machine Learning for COVID-19 Forecasts (15:45 - 16:45) [poster] [Zoom Link] - Difan Zou (University of California, Los Angeles)*; Lingxiao Wang (University of California, Los Angeles); Pan Xu (University of California, Los Angeles); Jinghui Chen (UCLA); Weitong ZHANG (University of California, Los Angeles); Quanquan Gu (University of California, Los Angeles)

HuggingMolecules: an open-source library for transformer-based molecular property prediction (10:00 - 11:10) [poster] [Zoom Link] - Piotr Gaiński (Jagiellonian Univeristy); Łukasz Maziarka (Jagiellonian University)*; Tomasz Danel (Jagiellonian Univeristy); Stanislaw Jastrzebski (New York University)

Forecast-driven Evidence of Human Mobility Impacting the Spread of COVID-19 (15:45 - 16:45) [poster] [Zoom Link] - Kangmin Tan (University of Southern California); Haiwen Chen (University of Southern California); Ajitesh Srivastava (University of Southern California)*

Computationally Accelerating Protein-Ligand Docking for Neglected Tropical Diseases: a case study on Drug Repurposing for Leishmaniasis (10:00 - 11:10) [poster] [Zoom Link] - Hassan Kane (MIT)*; Loïc Kwate Dassi (ENSIMAG); Ebenezer Nkwate (WL Research)

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach (10:00 - 11:10) [poster] [Zoom Link] - Jason Zhang (National Research Council of Canada)*; PENGCHENG XI (National Research Council Canada); Ashkan Ebadi (National Research Council Canada); Hilda Azimi (NRC); Stéphane Tremblay (National Research Council); Alexander Wong (University of Waterloo)

Data-driven Optimization Model for Global Covid-19 Intervention Plans (10:00 - 11:10) [poster] [Zoom Link] - Chang Liu (Georgian Partners)*; Akshay Budhkar (Georgian Partners)

TOWARDS INTERPRETING ZOONOTIC POTENTIAL OF BETACORONAVIRUS SEQUENCES WITH ATTENTION (10:00 - 11:10) [poster] [Zoom Link] - Kahini Wadhawan (IBM Research)*; Payel Das (IBM Research); Barbara A Han (Cary Institute of Ecosystem Studies); Ilya R Fischhoff (Cary Institute of Ecosystem Studies); Adrian Castellanos (Cary Institute of Ecosystem Studies); Arvind Varsani (The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University); Kush R Varshney (IBM Research)

Impact of data-splits on generalization: Identifying COVID-19 from cough and context (10:00 - 11:10) [poster] [Zoom Link] - Makkunda Sharma (Wadhwani AI)*; Nikhil Shenoy (Wadhwani AI); Jigar Doshi (Wadhwani AI); Piyush Bagad (Wadhwani AI); Aman Dalmia (Wadhwani Institute for Artificial Intelligence); Parag V Bhamare (Wadhwani Institute for Artificial Intelligence); Amrita Mahale (Wadhwani Institute for Artificial Intelligence); Saurabh Rane (Wadhwani AI); NEERAJ H AGRAWAL (Wadhwani Institute for Artificial Intelligence); Rahul A Panicker (Wadhwani Institute for Artificial Intelligence)

Heterogeneous networks-based Drug Repurposing for COVID-19 - Shuting Jin (Xiamen university)*; Xiangxiang Zeng (Hunan University); Wei Huang (Xiamen university); Feng Xia (Xiamen university ); Changzhi Jiang (Xiamen university); Xiangrong Liu (Xiamen University, China); Shaoliang Peng (Hunan University)

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning - Hayden Gunraj (University of Waterloo)*; Ali Sabri (McMaster University); David Koff (McMaster University); Alexander Wong (University of Waterloo)

Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates - Jenna Bilbrey (Pacific Northwest National Laboratory); Logan Ward (Argonne National Laboratory); Sutanay Choudhury (Pacific Northwest National Laboratory)*; Neeraj Kumar (Pacific Northwest National Lab); Ganesh Sivaraman (Argonne National Laboratory)

COVID-NETCT-S: 3D CONVOLUTIONALNEURALNETWORKARCHITECTURES FORCOVID-19 SEVER-ITYASSESSMENT USINGCHESTCT IMAGES - Hossein Aboutalebi (University of Waterloo)*; Saad Abbasi (University of Waterloo ); Mohammad Javad Shafiee (University of Waterloo); Alexander Wong (University of Waterloo)