Congratulations to Harry Rubin-Falcone (Denoising Autoencoders for Learning from Noisy Patient-Reported Data) and Donna Tjandra (Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise) for having their papers accepted at CHIL 2023!

Congratulations to Meera Krishnamoorthy for winning an honorable mention for her poster at the D. Dan and Betty Kahn Scientific Symposium!

Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose was accepted at AAAI 2023. Congratulations to Harry Rubin-Falcone!

Congratulations to Shengpu Tang for winning second place at the University of Michigan CSE Honors Competition!

Congratulations to Shengpu Tang (Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare) and Jiaxuan Wang & Sarah Jabbour (Learning Concept Credible Models for Mitigating Shortcuts) for having their papers accepted at NeurIPS 2022!

 Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning was accepted at MLHC 2022. Congratulations to Trenton Chang!

AMAISE: a machine learning approach to index-free sequence enrichment was published in June 2022. Congratulations to Meera Krishnamoorthy!

Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer’s disease: A retrospective cohort study at two medical centers was published in April 2022. Congratulations to Donna Tjandra!

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure was published in March 2022. Congratulations to Sarah Jabbour!