Artificial Intelligence-Based Methods for Drug Repurposing and Development in Cancer
Drug discovery and development remains a complex and time-consuming process, often hindered by high costs and low success rates. In the big data era, artificial intelligence (AI) has emerged as a promising tool to accelerate and optimize these processes, particularly in the field of oncology. This r...
Saved in:
| Main Authors: | Sara Herráiz-Gil, Elisa Nygren-Jiménez, Diana N. Acosta-Alonso, Carlos León, Sara Guerrero-Aspizua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/5/2798 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Applications of Artificial Intelligence in Drug Repurposing
by: Zhaoman Wan, et al.
Published: (2025-04-01) -
Drug repurposing: Clinical practices and regulatory pathways
by: K. Saranraj, et al.
Published: (2025-04-01) -
AI-driven drug discovery and repurposing using multi-omics for myocardial infarction and heart failure
by: Ziad Sabry, et al.
Published: (2025-06-01) -
Anti-EBV: Artificial intelligence driven predictive modeling for repurposing drugs as potential antivirals against Epstein-Barr virus
by: Hiteshi Vaidya, et al.
Published: (2025-01-01) -
Repurposing drugs: Lessons from rheumatology in the COVID-19 pandemic
by: Manesh Manoj, et al.
Published: (2021-01-01)