Drug discovery and development using AI and machine learning leverage advanced algorithms to predict molecular interactions, optimize compound design, and accelerate clinical trials. These technologies can analyze vast datasets to identify potential drug candidates and their efficacy, reducing time and costs. AI also helps in personalized medicine by tailoring treatments to individual genetic profiles, enhancing therapeutic outcomes.
3.1 AI in High-Throughput Screening
3.2 Machine Learning for Lead Optimization
3.3 Predictive Toxicology Models
3.4 AI in Clinical Trial Design
3.5 Ethical Considerations in AI-Driven Drug Development
All accepted abstracts will be published in respective Allied Academies Journals.
Abstracts will be provided with Digital Object Identifier by
