Stream kick-off

Introduction of the track

With Marcel Salathé

Program Deepdive: AI/ML for Pharma – Emerging applications of AI/ML in healthcare domain

With Asif Jan

Personalising cancer care: integrating data modalities to predict overall survival and improve outcomes for patients with NSCLC

With Marius Garmhausen

Session introduction – Methods & Approaches

With Mark Baillie

Using AI to develop Medicines with a higher Probability of Success

With Patrick Schwab

Federated Machine Learning – Putting patient privacy first in healthcare AI

With Camille Marini

Coffee break

Information Extraction and Natural Language Query Processing of Cancer Research Data using Machine Learning

With Kurt Stockinger

Deep interpretable regression models for semi-structured data in stroke patient outcome prediction

With Lisa Herzog

Using knockoffs for controlled predictive biomarker identification

With Kostas Sechidis

Session conclusion

Lunch Break

Session introduction – Application of AI/ML in Healthcare

With Asif Jan

AI for Life: The Novartis AI Innovation Center

With Nicholas Kelley, Erik Anderson & Bülent Kiziltan

Learning to deal with multi-centric imaging biomarkers in the real world

With Jonas Richiardi

Machine learning detects anti-dengue signatures in antibody repertoire sequences

With Enkelejda Miho

Using an end-of-life sensor study for machine learning

With Simone Lionetti

Comorbidity neural networks for sub-/optimal therapeutic response

With André Jaun

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

With Jason Plawinski

Session conclusion

Coffee break

Session introduction – Data Sharing, Ethics and Privacy

With Ria Kechagia

MedCo - Fostering multi-centric medical collaborations with decentralized privacy-enhancing technologies

With Jean Louis Raisaro

Using Health Data for Research: Evolving National Policies

With Limor Shmerling Magazanik

Data privacy and availability: Processing data under legal constraints

With Cécile Louwers & Nataliya Kryvych

Applications of Synthetic Data Generation for Enabling Data Sharing and Simulating Virtual Patients

With Khaled El Emam

Truly Privacy-Preserving Federated Analytics for Personalized Medicine

With Jean-Pierre Hubaux

Session conclusion

AI & Pharma track organizers – Program Conclusion

Virtual Apéro