Topics

What are we going to talk about?

Topics that will shape the future of healthcare

Our experts will bring you their visions about the most important topics in the cross-section of AI, machine learning, and healthcare

10 important Problems to solve in Healthcare

Cancer, Cardiovascular Disease, Cystic Fibrosis

Time Series Analysis

Trustworthy ML

Graph Neural Networks

Fairness, Accountability, and Ethics

Transplantation

ML for Genomics

Biostatistics meets ML

Interdisciplinary Approaches

Responsible AI

Synthetic Data

Unique Challenges and Opportunities

Next-Generation of Clinical Trials

Data Management

Discovery

Clinical Practice

RIsk Prediction and Competing Risks

Interpretable ML

Personalised Therapeutics

Early Diagnosis