ELLIS against Covid-19

cyvy cyvy-old ellis 15 April 2020 - 15 April 2020 Covid Workshop

15 April 2020 • 13:30 -

The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI, carried out by leading international researchers. Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management.

Agenda

* Speakers and talk titles are subject to change

* All times in Central European Summer Time (CEST)

Time	Session
1:30pm 1:40pm	Introduction Max Welling
1:40pm - 2:40pm	Diagnostics: molecular and imaging Fabian Theis (15 min): "Leveraging single-cell transcriptomics to understand the molecular basis for SARS-CoV-2 distribution in the population" Victor Greiff (15 min): "Methods for mining the adaptive immune repertoire for SARS-CoV-2 diagnostics and therapeutics" Clarisa Sanchez (15 min): "CT analysis using machine learning to address COVID-19" Questions & Discussion (15 min)
2:40pm - 3:20pm	Modeling and tracing Bernhard Schölkopf (15 min): "COVID-19 machine learning projects at Max Planck Institute" Luca Feretti (15 min): "Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing" Questions & Discussion (10 min)
3:20pm - 3:50pm	Data & platforms Mads Nielsen (5 min): "Overview of Danish ICU risk assessment study" Russ Taylor (5 min): "Telerobotics for Intensive Care Unit" Cecilia Mascolo (5 min): "Mobile Health Diagnostics through Audio Signals: a COVID-19 case study" Questions & Discussion (15 min)
3:50pm - 4:00pm	Concluding discussions General Discussion and Wrap-Ups (10 min) End of meeting