Posters and Spotlights

Spotlight Talks

Anonymous Survey System and Methodology to Enable COVID-19 Surveillance
Natalie Davidson (ETH Zürich); Olga Mineeva (ETH Zürich); Faisal Alquaddoomi (Nexus, ETH Zurich); Andre Kahles (ETH Zürich); Ximena Bonilla (ETH Zürich); Luca Naterop (Milliways GmbH); Jan von Overbeck (Health Departement, Canton Bern); Gunnar Raetsch (ETH Zurich)

An Unsupervised Learning Approach to Mitigate the Risk of Polio Recurrence in India
Tushar Goswamy (Indian Institute of Technology, Kanpur); Bhavjeet Singh (IIT Kanpur, India); Kanishk Gupta (IIT Kanpur, India); Bhuvan Beejawat (Mckinsey and Company); Abhinav Tiwari (IIT Kanpur, India); Afzal Rao (IIT Kanpur, India); Dhruv Patel (IIT Kanpur, India); Vatsalya Tandon (IIT Kanpur, India)

Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images
Dennis H Núñez Fernández (Universidad Peruana Cayetano Heredia); Lamberto Ballan (University of Padova); Mirko Zimic (Universidad Peruana Cayetano Heredia)

Kernel-based antimicrobial resistance prediction from MALDI-TOF mass spectra
Caroline V Weis (ETH Zurich); Max Horn (MLCB, D-BSSE, ETH Zurich); Bastian A Rieck (MLCB, D-BSSE, ETH Zurich); Aline Cuenod (University of Basel); Adrian Egli (University Hospital Basel); Karsten Borgwardt (ETH Zurich)

Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
Girmaw Abebe Tadesse (IBM Research | Africa); Celia Cintas (IBM Research | Africa); Skyler Speakman (IBM Research | Africa); Komminist Weldemariam (IBM Research | Africa)

Using Machine Learning to Analyze and Provide Real-Time Access to all Published Clinical Trial Reports
Iain J Marshall (King’s College London); Joel Kuiper; Frank Soboczenski; Byron Wallace (Northeastern)

Posters

A Bayesian Updating Scheme for Global Pandemics
Philip Nadler (Imperial College London)

A COVID-19 Spread Prediction System Using Deep Neural Networks with Important Hybrid Features Extracted from Relevant Multi-source Data
Luna Zhang (BigBear, Inc.)

A Federated Learning Framework for Healthcare IoT devices
Binhang Yuan (Rice University); Song Ge (University of Houston-Downtown); Wenhui Xing (Prudence Medical Technologies Ltd)

A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation
Romain Molinas (Department of Computing, Imperial College London); César Quilodrán Casas (Data Science Institute, Imperial College London); Ovidiu Serban (Data Science Institute, Imperial College London)

Bayesian inference of between-population variation in COVID-19 dynamics
Bryan Wilder (Harvard University); Marie-Laure Charpignon (MIT); Jackson Killian (Harvard University); Han-Ching Ou (Harvard University); Aditya Mate (Harvard University); Shahin Jabbari (Harvard University); Andrew Perrault (Harvard University); Angel Desai (International Society for Infectious Diseases); Milind Tambe (Harvard University); Maimuna Majumder (Boston Children’s Hospital)

Design Considerations for High Impact, Automated Echocardiogram Analysis
Wiebke Toussaint (Delft University of Technology); Dave Van Veen (University of Texas at Austin); Courtney Irvin (DSSG); Yehonathan Nachmany (University of Pennsylvania); Víctor Vicente Palacios (PHILIPS IBERICA SA); P. Ignacio Dorado-Díaz (CIBERCV); Jesús Sampedro-Gómez (CIBERCV); Antonio Sanchez Puente (CIBERCV, Instituto de Salud Carlos III); Pedro L Sánchez (Department of Cardiology, Hospital Universitario de Salamanca-IBSAL); Elena Díaz-Peláez (Department of Cardiology, Hospital Universitario de Salamanca-IBSAL); Manuel Barreiro (Department of Cardiology, Hospital Universitario de Salamanca-IBSAL); Sara Guerreiro de Sousa (Social Finance); Liliana Millan ( Centro de Ciencia de Datos – ITAM)

Gene Expression Imputation with Generative Adversarial Imputation Nets
Ramon Viñas Torné (University of Cambridge); Tiago Azevedo (University of Cambridge); Eric R. Gamazon (Vanderbilt Genetics Institute and Data Science Institute, VUMC); Pietro Lió (University of Cambridge)

Machine Learning to Assess the Association of H. Pylori Infection and Gastric and Oesophageal Cancer by Detecting Western Blot Protein Bands
Girmaw Abebe Tadesse (IBM Research); Daniel Chapman (University of Oxford); Ling Yang (University of Oxford); Pang Yao (University of Oxford); Iona Millwood (University of Oxford); Zhengming Chen (University of Oxford); Tingting Zhu (University of Oxford)

Measuring the Role of Income Shocks on the Health of Low-Income Families
Andrew Wang (Harvard University); Cynthia Habonimana (California State University, Long Beach); Rediet Abebe (Harvard University)

A scoping review on mental health and machine learning in low-resource settings
Nga Dang (Queen’s University); Aishah Cader (Queen’s University); Breagh Cheng (Queen’s University)

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning
Helen Zhou (Carnegie Mellon University); Cheng Cheng (Carnegie Mellon University); Zachary Lipton (Carnegie Mellon University); George H Chen (Carnegie Mellon University); Jeremy C Weiss (Carnegie Mellon University)

MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis
Aayush Kumar (KIIT University); Sanat B Singh (KIIT University); Suresh Chandra Satapathy
(KIIT UNIVERSITY); Steven Lawrence Fernandes (University of Central Florida)

Non-Pharmaceutical Intervention Discovery with Topic Modeling
Jonathan A J Smith (Layer 6 AI); Borna Ghotbi (University of British Columbia); Seungeun Yi (Layer 6 AI); Mah Parsa (University of Toronto)

NUCLEI-NET: A Fully Convolutional Neural Network for Medicinal Drugs Discovery
Aayush Kumar (KIIT University); Sohom Dey (KIIT University)

PET-guided Attention Network for Segmentation of Lung Tumors from PET/CT images that accounts for missing PET images
Varaha Karthik Pattisapu (ETH D-INFK); Imant Daunhawer (ETH Zurich); Julia Vogt (ETH Zurich)

Sequential Decision Making in Resource Constrained Global Health Settings
Samuel Dooley (UMD); Candice Schumann (University of Maryland); Han-Chin Shing (University of Maryland); John P Dickerson (University of Maryland); Philip Resnik (University of Maryland)

Simulation-Based Inference for Global Health Decisions
A Schroeder de Witt (University of Oxford); Bradley J Gram-Hansen (University of Oxford); Nantas Nardelli (University of Oxford); Andrew Gambardella (University of Oxford); Rob Zinkov (University of Oxford); Puneet Dokania (University of Oxford); N Siddharth (Univerity of Oxford); Ana Belen Espinosa-Gonzalez (Imperial College); Ara Darzi (Imperial College London); Phil Torr; Atilim Gunes Baydin (University of Oxford)

SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread
Nicholas Soures (University of Texas San Antonio); David Chambers (Southwest Research Institute); Zachariah Carmichael (University of Texas, San Antonio); Anurag Daram (University of Texas, San Antonio); Kal Clark (University of Texas Health Science Center, San Antonio); Pankil Shah (University of Texas Health Science Center, San Antonio); Dimpy Shah (University of Texas Health Science Center, San Antonio); Lloyd Potter (University of Texas, San Antonio); Dhireesha Kudithipudi (University of Texas at San Antonio)

Synthesizing Wearable ECG Data for Future Deep Space Missions
Eleni Antoniadou (Frontier Development Labs); David Belo (LIBPhys); Krittika J D’Silva (University of Cambridge); Brian Wang (Frontier Development Labs); Frank Soboczenski (King’s College London)

The Causal Effect of Stay-At-Home Orders: a synthetic control study in the San Francisco Bay Area
Mehrdad Yazdani (Januar.ai)

Towards uncertainty representations for decision support system patient referrals in healthcare contexts
Nabeel Seedat (Cornell Tech/Cornell University)

Towards User Friendly Medication Mapping Using Entity-Boosted Twin Modeling
Shaoqing Yuan (Amazon)

Transfer Learning for Pandemic Forecasting
Isaac Godfried (CoronaWhy); Pranjalya Tiwari (CoronaWhy); Aradhana chaturvedi (CoronaWhy)

Using Capsule Neural Network to detect Tuberculosis in microscopic images
Dennis H Núñez Fernández (Universidad Peruana Cayetano Heredia); Lamberto Ballan (University of Padova); Mirko Zimic (Universidad Peruana Cayetano Heredia)