Workshop on Machine Learning for Multimodal Healthcare Data (ML4MHD 2023) 

Co-located with ICML 2023, at Hawaii Convention Center, 

Date: Saturday, July 29 (Full-Day)

Honolulu, Hawaii, United States

 About This Workshop

This new workshop will bring together interdisciplinary scientists and practitioners working at the intersections of machine learning (ML) to medicine, pathology and biology, for presenting new methods and solutions for healthcare challenges across the full range of multimodal, and often highly heterogeneous and complex patient data, to the wider ICML community. 

Topics of interest include, but are not limited to: 

Multimodal fusion and learning in medical imaging, digital pathology, computational biology, genetics, electronic healthcare records.

Multimodal biomarkers for early prediction of disease onset, therapeutic response or disease recurrence.

Benchmarking, domain shifts, and generalization of ML in multimodal healthcare data.

ML for dealing with inherent sparsity, incompleteness and complexity of multimodal healthcare data.

ML for ensuring fairness and reducing bias in healthcare applications.

ML for privacy preservation in healthcare data.

Co-creation and human-in-the-loop for ML in healthcare.

Format: The workshop will include a mix of invited keynotes and scientific talks (undergoing scientific peer-review). A total of 4 sessions, each starting with one keynote, are planned. One of the scientific sessions will be a dedicated European Laboratory for Learning in Intelligent Systems (ELLIS) Health program track, for showcasing European research in machine learning in health applications to the ICLM community and providing networking opportunities. The workshop will finish with an open panel discussion.

 Workshop organizers

Julia A. Schnabel

Technical University of Munich, Helmholtz Munich and King’s College London

Andreas K. Maier

Friedrich-Alexander University Erlangen-Nuremberg

Pallavi Tiwari

University of Wisconsin-Madison

Oliver Stegle

German Cancer Research Center and European Molecular Biology Laboratory

Keynote speakers

Marzyeh Ghassemi 


Judy Gichoya

Emory University

Fabian Theis

Helmholtz Munich and Helmholtz AI

Important dates

Paper Submission Deadline: 24 May 2023 (AoE on CMT)  Deadline extension 29 May 2023 (AoE on CMT)

Author Notification: June 19, 2023

Camera Ready Deadline: July 14, 2023 AoE on CMT

Workshop date: July 29, 2023 (Saturday)