Advances in Machine Learning for Drug Repurposing: From Methodologies to Precision Medicine with Case Studies in COVID-19, Parkinson's Disease, and Cancer. (PubMed, IEEE J Biomed Health Inform) - Sep 24, 2026 - "Case studies demonstrate how integrated models leveraging heterogeneous data (e.g., gene expression, chemical structure, EHRs) facilitated the identification of repurposable candidates like baricitinib, raloxifene, and rapamycin. We examine the role of foundation models and large language models (LLMs) in drug repurposing, including zero-shot molecular property prediction and literature-informed mining. This work outlines an ML-driven framework that balances computational scalability with biological validity, enabling actionable predictions in precision medicine."
Journal • CNS Disorders • Infectious Disease • Movement Disorders • Novel Coronavirus Disease • Oncology • Parkinson's Disease
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Bemnet Kinfe; Betel Gurara; Frank Martin; Gayathri Sadanala; Hana Sheto; Saron Gebremichael; Sumitra Miriyala; Varsha Manikandan
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