From the 1 of 8 linked papers with an AI index.
8 papers
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System
David Krongauz, Arad Zulti, Eran Segal +1
The paper presents MEDA, an agentic system that combines large language models and symbolic regression to automatically discover ordinary differential equation models for biologica…
MOLAR: Learning Multimodal Molecular Representations from Noisy Labels
Yingxu Wang, Kunyu Zhang, Nan Yin +2
Motivation: Noisy labels are a common challenge in molecular property prediction because molecular annotations are often obtained from assays, curated databases, or weak annotation…
Simulating clinical interventions with a generative multimodal model of human physiology
Guy Lutsker, Gal Sapir, Jordi Merino +7
Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central challenge in medicine. Here we present HealthFormer…
DoAtlas-1: A Causal Compilation Paradigm for Clinical AI
Yulong Li, Jianxu Chen, Xiwei Liu +9
Medical foundation models generate narrative explanations but cannot quantify intervention effects, detect evidence conflicts, or validate literature claims, limiting clinical audi…
HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification
David Krongauz, Hido Pinto, Sarah Kohn +2
Human speech contains paralinguistic cues that reflect a speaker's physiological and neurological state, potentially enabling non-invasive detection of various medical phenotypes.…
Improving Diseases Predictions Utilizing External Bio-Banks
Hido Pinto, Eran Segal
Machine learning has been successfully used in critical domains, such as medicine. However, extracting meaningful insights from biomedical data is often constrained by the lack of…