Interested in the application of computational tools
like machine learning to medicine and healthcare?
Join our reading group!

Join our mailing list, and subscribe to our google calendar.

Interested in sharing your research or a recent article?
Contact dschles AT mit DOT edu or fill out this form

Fall 2020 Schedule

To be announced! Contact above if you’re interested in presenting

Spring 2020 Schedule

Are you exploiting your assumptions? Towards effective priors for biomarker discovery and functional predictions
Wed 2/19, 1:30pm 36-428
Dr. Melanie F. Pradier, PhD, postdoctoral fellow with Dr. Finale Doshi-Velez
–

Fall 2019 Schedule

Optimal Treatment Strategies for Sepsis in ICU via Reinforcement Learning
Mon 9/23, 1pm E25-401
Journal Club of Komorowski et al., Nature Medicine 2018 (DOI: 10.1038/s41591-018-0213-5)
Discussion led by Aniruddh Raghu, doctoral Student with Drs. John Guttag and Collin Stultz

Deep Learning to Assess Long-Term Mortality from Chest Radiographs
Mon 10/21, 1pm E25-401
Dr. Michael Lu, MD, MPH, Director of Research, Cardiovascular Imaging at Massachusetts General Hospital and Assistant Professor of Radiology at Harvard Medical School

Assisting with Sequential Clinical Decision Making Using Machine Learning
Mon 11/4, 1pm E25-401
Dr. Joe Futoma, PhD, postdoctoral fellow with Dr. Finale Doshi-Velez at Harvard

Learning microbial dynamics for therapeutic applications: Scalable inference and robustness
Tue 11/19, 12:30pm E25-101
Dr. Travis Gibson, PhD, Brigham and Women’s Hospital, Harvard Medical School

Linking pre-operative risk to post-operative outcomes, using routine measurements
Mon 12/16, 1pm E24-401
Dr. Brody Foy, DPhil, postdoctoral fellow with Drs. Aaron Aguirre and John Higgins at the MGH Center for Systems Biology

Summer 2019 Schedule

Learning about Breast Cancer from Images and Text
July 10
Adam Yala, PhD Student with Dr. Regina Barzilay

Analysis of Chest X-Rays (with demos!)
July 24
Dr. Alistair Johnson, Postdoc with Dr. Roger Mark

Deep Learning Tools for Genomic Prediction and Response Assessment in Glioma
August 7
Ken Chang, MD-PhD Candidate, Harvard-MIT Division of Health Sciences & Technology

Arrhythmia Detection and Classification with Deep Learing
August 21
Journal Club of Hannun et al., Nature Medicine 2019 (DOI: 10.1038/s41591-018-0268-3)
Discussion led by Dr. Erik Reinertsen, Postdoc with Dr. Collin Stultz