Since compact, interpretable classifiers correspond to simple programs, it is natural to ask if LLM-based coding agents can be used to learn interpretable models from data. In this paper we present a simple harness that repeatedly prompts a coding LLM to produce the next rule in a rule set, given a sample of labeled ex...
Aditya Kumar, Cassandra A. Cohen, William W. Cohen· 0 citations
Telemedicine platforms are increasingly used to support the long-term monitoring of chronically ill patients. However, continuous streams of patient-reported data and messages may impose substantial workload on telemedicine teams. To address this challenge, we developed a human-in-the-loop communication support sys...
Roland Roller, A. Ravichandran, Tillmann Breitenstein et al.· Frontiers in Digital Health· 0 citations
AdaptiveFlow enables drug discovery at unprecedented scale and supports the development of AI-driven methods, and identifies nanomolar inhibitors of two disease-relevant targets, ferroptosis suppressor protein 1 and poly(ADP-ribose) polymerase 1.
Domiziana Cecchini, AkshatKumar Nigam, Ming Tang et al.· Nature Biotechnology· 1 citation
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