Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- AI-driven drug discovery methodologies
- Bioinformatics in drug target identification
- Machine learning for drug repurposing
- Predictive modeling in drug discovery
- Data mining for pharmacogenomics insights
- AI applications in clinical trial design
- Computational methods for drug design
- Integration of omics data in drug discovery
- Ethics of AI in drug development
- Case studies of successful AI drug discoveries
- AI for biomarker identification in drug response
- Big data analytics in pharmaceutical research
- AI in personalized medicine approaches
- Challenges in AI for drug discovery
- Collaborative platforms for drug discovery
- Regulatory considerations for AI in pharmaceuticals
- Impact of AI on drug development timelines
- AI-enhanced virtual screening techniques
- Future directions in AI for drug discovery
- Interdisciplinary approaches to drug discovery
All papers must be original and not previously published or submitted elsewhere.
