Language Interaction Network for Clinical Trial Approval Estimation

arXiv:2405.06662v1 Announce Type: cross
Abstract: Clinical trial outcome prediction seeks to estimate the likelihood that a clinical trial will successfully reach its intended endpoint. This process predominantly involves the development of machine learning models that utilize a variety of data sources such as descriptions of the clinical trials, characteristics of the drug molecules, and specific disease conditions being targeted. Accurate predictions of trial outcomes are crucial for optimizing trial planning and prioritizing investments in a drug portfolio. While previous research …

abstract arxiv clinical clinical trial clinical trials cs.cl cs.lg data data sources development language likelihood machine machine learning machine learning models network prediction process q-bio.bm type will