arXiv Machine Learning June 11, 2026 By Yifan Xue, Srimukh Prasad Veccham, Saee Paliwal, Tyler Shimko, Micha Livne

Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction

Read the original on arXiv Machine Learning →

arXiv:2606. 11508v1 Announce Type: new Abstract: Accurate prediction of absorption, distribution, metabolism, and excretion (ADME) properties is critical to drug discovery, but remains challenging because ADME endpoints are noisy, interdependent, and often data-limited.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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