AI-Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery.
- DOI
- 10.1002/med.70074
- Published
- 2026 Jun 17
- Container
- Medicinal research reviews
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/med.70074,
title = {AI-Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery.},
author = {Gangwal A and Lavecchia A},
year = {2026},
journal = {Medicinal research reviews},
doi = {10.1002/med.70074},
url = {https://doi.org/10.1002/med.70074}
}RIS
TY - JOUR TI - AI-Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery. AU - Gangwal A AU - Lavecchia A PY - 2026 JO - Medicinal research reviews DO - 10.1002/med.70074 UR - https://doi.org/10.1002/med.70074 ER -
APA
A, G., & A, L. (2026). AI-Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery.. Medicinal research reviews. https://doi.org/10.1002/med.70074
Source records
- pubmed · retrieved 2026-09-25T13:19:50.127Z