Neetu Rajpoot
Papers
1
Total Citations
4
H-Index
1
About
Neetu Rajpoot is an emerging researcher whose work sits at the intersection of artificial intelligence and pharmaceutical sciences, with a particular focus on how machine learning and data-driven technologies are reshaping modern medicine. Her most-cited paper, "Artificial Intelligence in Pharmaceutical Field: Applications, Challenges and Future Scope" (2022, 4 citations), provides a comprehensive overview of AI’s transformative role in drug discovery, personalized treatment, and clinical data management. Rajpoot’s research highlights how digitalization of critical patient datasets—especially during the COVID-19 pandemic—has accelerated the adoption of intelligent systems in healthcare, turning once-severe conditions into manageable ones. Her work addresses both the promise and the hurdles of integrating AI into pharmaceutical workflows, including data privacy, algorithmic bias, and regulatory challenges. While her citation count is still growing, Rajpoot’s contributions are timely and relevant, offering a foundational perspective for students and researchers entering the field of AI-driven pharmaceutics. Her scholarship reflects a forward-looking approach that bridges computational innovation with real-world clinical impact, making her a voice to watch in this rapidly evolving domain.
Research Focus
Key Achievements
Top Papers
- 1