AI in Healthcare

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Overview

The Life Science Alliance and the MOLIT institute of personalized medicine are excited to invite you to our first joint-symposium. The virtual symposium brings together researchers from across the globe to address the promises and challenges of artificial intelligence in healthcare. We are at the forefront of a revolution in healthcare. While new technologies enable us to generate a wealth of data, the next challenge lies in harnessing this information to uncover clinically relevant findings. Over two days we will highlight the latest insights and applications of AI across the whole healthcare system, from bench to bedside in our global community.

The conference assembles leading basic and clinical researchers to share and discuss the latest on:

Using big data to make intelligent predictions about disease, responses to treatment, or diagnoses,
The translation of AI technologies to the clinic and its implications for patients,
Ethical and societal issues to consider when introducing AI technology to the public,
The rise of smart systems and technologies that change the way we manage health, and the broader approach to healthcare.

This conference offers a rich opportunity to hear from, and interact with, leaders in the effort to establish AI in healthcare systems all over the world.

Virtual Participation
The event will take place online with opportunities for digital networking, sharing posters and talks with your fellow participants - just like a real conference.

Organisers

Lars Steinmetz
_{Director Life Science Alliance & Senior Scientist, EMBL Heidelberg}

Christian Fegeler
_{Co-founder MOLIT institute for personalized medicine, Heilbronn}

Uwe Martens
_{Co-founder MOLIT institute for personalized medicine, Heilbronn}

Supriyo Chatterjea
_{Philips Research Europe,

The Netherlands}

Isidro Cortés-Ciriano
_{EMBL-EBI Hinxton,

UK}

Markus List
_{Technical University of Munich,

Germany}

Hagai Rossman
_{Weizmann Institute of Science, Israel}

Wendelin Schramm
_{GECKO Research Institute,

Germany}

Christof von Kalle
_{Berlin Institute of Health,

Charité – Universitätsmedizin Berlin,

Germany}

Benjamin Meder
_{University Hospital Heidelberg,

Germany}

Alexandra Reichenbach
_{Heilbronn University of Applied Science, Germany}

Saila Rinne
_{European Commission, DG CNECT, eHealth Unit, Belgium}

Patrick Werner
_{MOLIT Institute of Personalized Medicine, Germany}

Zhenyu Xu
_{Sophia Genetics,

Switzerland}

Kristen Yeom
_{Stanford University,

USA}

Virtual Program

The conference booklet is now available!

Check out the exciting and diverse abstracts and bookmark your favourites ahead of the event.

Note that all times are in CET so please adjust to your local time zone.

Day 1: October 27

Time (CET) Speaker

13:00 - 13:15 Opening Remarks
Session 1: Big data in healthcare
13:15 - 13:35 Markus List, Technical University of Munich, Germany
Big Data in Systems Medicine
13:35 - 13:55 Isidro Cortés-Ciriano, EMBL-EBI Hinxton, UK
What is realistic and what are illusions in Artificial Intelligence in drug discovery? A discussion on ways to impact, and why we are not there yet
13:55 - 14:15 Alexandra Reichenbach, Heilbronn University, Germany
Leveraging longitudinal phenotypic data for subtyping neurodegenerative disease
14:15 - 14:35 Hagai Rossman, Weizmann Institute of Science, Israel
Rapid deployment of a nationwide symptoms survey during the outbreak and spread of COVID-19 - framework and applications
14:35 - 15:00 Open discussion with all speakers from Session 1
15:00 - 15:10 Florian Huber, EMBL Heidelberg, Germany
Combining chemical genetics with machine learning to study antibacterial drug mode of action
15:10 - 15:20 Theodore Alexandrov, EMBL Heidelberg, Germany
Spatial and single-cell metabolomics in the age of AI
15:20 - 15:45 Coffee break and meet the speakers
Session 2: Smart Healthcare Systems
15:45 - 16:05 Christof von Kalle, Berlin Institute of Health, Germany
First principle thinking in translational data research
16:05 - 16:25 Patrick Werner, MOLIT Institute of Personalized Medicine, Germany
Structured data first – implementing interoperability in clinical processes
16:25 - 16:45 Saila Rinne, European Commission, DG CNECT, eHealth Unit, Belgium
Data and AI for healthcare – EU policy and research initiatives
16:45 - 17:05 Wendelin Schramm, GECKO Research Institute, Germany
Generic Health-Economic Disease Models - Intermediary Between Personalized Data and Societal Value
17:05 - 17:25 Open discussion with all speakers from Session 2
17:25 - 17:35 André Ferreira, Instituto Superior Técnico – Universidade de Lisboa, Portugal
Predictive Medicine Using Interpretable Recurrent Neural Networks
17:35 - 17:45 Jessica Torres, Stanford University
Multi-task deep learning for cardiac rhythm detection in wearable devices
17:45 - 19:00 Virtual networking

Day 2: October 28

Time (CET) Speaker

Session 3 : AI in the Clinic
15:00 - 15:20 Zhenyu Xu, SOPHiA Genetics, Switzerland
Systematic in-silico determination of technical limitations enables reliable circulating tumour DNA profiling
15:20 - 15:40 Supriyo Chatterjea, Philips Research Europe, The Netherlands
BigMedilytics: Experiences with characterizing hospital workflows
15:40 - 16:00 Benjamin Meder, University Hospital Heidelberg, Germany
AI in cardiovascular research: single molecules to patient care
16:00 - 16:20 Kristen Yeom, Stanford University, USA
Towards precision in the era of AI and modern medicine
16:20 - 16:40 Open discussion with all speakers from Session 3
16:40 - 16:50 Tejaswini Mishra, Stanford University, USA
Early detection of COVID-19 using a smartwatch
16:50 - 17:00 Adriano Lucieri, German Research Center for Artificial Intelligence, Germany
exAID - Explanations for AI in medical diagnosis
17:00 - 17:40 Coffee break and meet the speakers
17:40 - 17:50 Andrea Beccari, Dompé Farmaceutici, Switzerland
EXSCALATE: a smart in silico poly pharmacological drug design platform selecting molecules active against the ZIKA virus
17:50 - 18:00 Benedikt Rauscher, EMBL Heidelberg, Germany
mitoWEAR: Monitoring of mitochondrial disorders using wearable activity trackers
18:05 - 18:50 Panel Discussion: Hosted by Russ Altman, Stanford University USA
The Future of AI in Healthcare: what does it look like and how do we get there?
with Oliver Stegle, Christof von Kalle, Patrick Werner & Kristen Yeom
18:50 - 19:00 Closing remarks
19:00 - 19:30 Virtual networking

Thanks to our sponsors and partners for helping to bring the latest research on AI in Healthcare to your screens!

Silver Sponsor:

Bronze Sponsors:

Media Partners:

_{Sponsor packages: Gold(€20,000) Silver (€7,000) Bronze (€2,000)}

Organising Team

In case of any questions, feel free to email the organising team.

Tanja and Katie are happy to help and look forward to welcoming you in Heilbronn.

Tanja Salzwedel
_{MOLIT institute of Personalized Medicine, Heilbronn}

Katie Zeier
_{Life Science Alliance,

Heidelberg}

About Us:

The Life Science Alliance is a joint research initiative dedicated to the advancement of biomedical research. By bringing together leading researchers from the European Molecular Biology Laboratory (EMBL) and Stanford University, we are cultivating new ideas, sharing best practices, and facilitating access to technology and resources. We enable transatlantic cooperation with programs for joint research fellows, exchanges and outreach. We are excited to team up with our colleagues at MOLIT and meet more of the local resarch community in Heilbronn.

The MOLIT Institute for Personalized Medicine joins the Life Science Alliance as Co-Organizer. MOLIT is a non-profit research institute for personalized medicine located in Heilbronn, Germany. Its focus is the development of customized therapies for cancer diseases and their translation into general medical care. It is adopting an integrated approach of medicine and IT by joining and mathematically modelling complex data of different molecular analytical methods as well as clinical and patient reported outcome.

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