A review on machine learning approaches and trends in drug discovery
By Paula Carracedo-Reboredo, José Liñares-Blanco, Nereida Rodriguez-Fernandez, Francisco Cedron, F. Nóvoa, Adrián Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano. Computational and Structural Biotechnology Journal, 2021
345 citations recorded by the source corpus.
Graphical abstract
Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fd5a05b6cb2b8472290b06064ea5e70be7198e75
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- Helga K. Ruiz
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Citations in the corpus
- Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine (2024, methodology): “In recent years, AI has become an indispensable tool in accelerating drug discovery, optimizing clinical trials, and personalizing treatments, marking a shift toward more efficient, data-driven pharmaceutical research and development [1–3].”