Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review.
- DOI
- 10.3390/ijms27094028
- Published
- 2026-04-30
- Container
- Int J Mol Sci
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ijms27094028,
title = {Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review.},
author = {Khan MS and Saeed M and Arham M and Zafar I and Hussian M and Jamal A and Usman M and Bahwerth FS and Yang G and Kang KS.},
year = {2026},
journal = {Int J Mol Sci},
doi = {10.3390/ijms27094028},
url = {https://doi.org/10.3390/ijms27094028}
}RIS
TY - JOUR TI - Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review. AU - Khan MS AU - Saeed M AU - Arham M AU - Zafar I AU - Hussian M AU - Jamal A AU - Usman M AU - Bahwerth FS AU - Yang G AU - Kang KS. PY - 2026 JO - Int J Mol Sci DO - 10.3390/ijms27094028 UR - https://doi.org/10.3390/ijms27094028 ER -
APA
MS, K., M, S., M, A., I, Z., M, H., A, J., M, U., FS, B., G, Y., & KS., K. (2026). Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review.. Int J Mol Sci. https://doi.org/10.3390/ijms27094028
Source records
- europe-pmc · retrieved 2026-09-25T03:45:08.758Z