Review
Aug 2026
Advancing cancer drug discovery through the integration of machine learning and high-throughput screening.
This review highlights the synergy between AI and HTS, emphasizing DL techniques such as convolutional neural networks for bioactivity prediction, recurrent neural networks for de novo design, and reinforcement learning for property optimization.
Kamil Herbetko, Katarzyna Herbetko, Magdalena Mikołajek et al.
· Future Medicinal Chemistry · 1 citation