Neural Signals Generate Clinical Notes in the Wild
Jathurshan Pradeepkumar, Zheng Chen, and Jimeng Sun
arXiv preprint 2026 (In review at ICML 2026)
First Clinical EEG Language Model!
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning ICLR 2026
Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, and Jimeng Sun
The Fourteenth International Conference on Learning Representations 2026 (alsoSpotlight at NeurIPS TS4H 2025)
Single-Channel EEG Tokenizer to enhance EEG FMs and scale to ear-EEG!
Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development Nature Health
Chufan Gao*, Jathurshan Pradeepkumar*, Trisha Das*, Shivashankar Thati, and Jimeng Sun.
Nature Health 2026
ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks ICLR 2026
Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, and Takashi Matsubara
The Fourteenth International Conference on Learning Representations 2026
How Well do Multimodal Models Reason on ECG Signals?
Maxwell A Xu, Harish Haresamudram, Catherine Wei Liu, Patrick Langer, Jathurshan Pradeepkumar, Wanting Mao, Sunita Ferns, Aradhana Verma, Jimeng Sun, Paul Schmiedmayer, Xin Liu, Daniel McDuff, Emily Fox and James Rehg
(In review at ICML 2026)
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R Cross, and Jimeng Sun
arXiv preprint 2026 (In review at ICML 2026)