Jagdeep T. Podichetty
Quantitative BioSciences(US)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Healthcare, 3D Printing in Biomedical Research, Statistical Methods in Clinical Trials, Pancreatic function and diabetes
Most-Cited Works
- → Machine Learning in Drug Discovery and Development Part 1: A Primer(2020)79 cited
- → How can natural language processing help model informed drug development?: a review(2022)69 cited
- → A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications(2025)47 cited
- → Application of computational fluid dynamics in tissue engineering(2012)46 cited
- → Modeling of porous scaffold deformation induced by medium perfusion(2013)40 cited
- → Open Data Revolution in Clinical Research: Opportunities and Challenges(2020)32 cited
- → Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology(2023)29 cited
- → Qualifying a novel clinical trial endpoint (iBOX) predictive of long-term kidney transplant outcomes(2023)26 cited
- → Modeling Pressure Drop Using Generalized Scaffold Characteristics in an Axial-Flow Bioreactor for Soft Tissue Regeneration(2014)22 cited
- → Challenges in Alzheimer's Disease Drug Discovery and Development: The Role of Modeling, Simulation, and Open Data(2020)21 cited