Divya Soni
Papers
1
Total Citations
65
H-Index
1
About
Divya Soni is a rising researcher at the intersection of artificial intelligence and pharmacology, whose work explores the transformative potential of AI in drug discovery and development. Her most-cited paper, "Opportunities and challenges in application of artificial intelligence in pharmacology" (2023), has already garnered 65 citations, signaling its timely impact on the field. In this work, Soni systematically maps how machine learning and deep learning models can accelerate target identification, optimize drug design, and predict pharmacokinetic properties, while also addressing critical hurdles such as data quality, model interpretability, and regulatory acceptance. By synthesizing current advances and outlining a roadmap for responsible AI integration, she provides a foundational resource for both computational scientists and pharmacologists. Soni’s contributions are particularly valuable for students and researchers seeking to navigate the rapidly evolving landscape of AI-driven therapeutics. Her ability to bridge technical innovation with practical clinical challenges positions her as a key voice in shaping how artificial intelligence can responsibly revolutionize pharmacology, from bench to bedside.
Research Focus
Key Achievements
Top Papers
- 1