March 13, 2024, 4:42 a.m. | Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.07632v1 Announce Type: new
Abstract: Drug-induced cardiotoxicity is a major health concern which can lead to serious adverse effects including life-threatening cardiac arrhythmias via the blockade of the voltage-gated hERG potassium ion channel. It is therefore of tremendous interest to develop advanced methods to identify hERG-active compounds in early stages of drug development, as well as to optimize commercially available drugs for reduced hERG activity. In this work, we present CardioGenAI, a machine learning-based framework for re-engineering both developmental and …

abstract advanced arxiv cs.lg drugs effects engineering framework health identify life machine machine learning major q-bio.bm type via

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US