Kenkyu Journal of Pharmacology ISSN : 2455-9237
1Department of Basic Science & Humanities
2Department of Information Technology, Mukesh Patel School of Technology Management & Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Mumbai-400056, India
2Department of Information Technology, Mukesh Patel School of Technology Management & Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Mumbai-400056, India
2Department of Information Technology, Mukesh Patel School of Technology Management & Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Mumbai-400056, India
2Department of Information Technology, Mukesh Patel School of Technology Management & Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Mumbai-400056, India
2Department of Information Technology, Mukesh Patel School of Technology Management & Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Mumbai-400056, India
Received: 05-04-2025
Accepted: 14-04-2025
Published: 18-04-2025
Citation: Vinita Khatri, Nupur Senad, Radha Mahajan, Ritwik Sharma, Svara Dadhe, et al. (2025) Review on Artificial Intelligence in Pharmacological Imaging Analysis: Transforming Drug Discovery and Patient Care. Ken Joul Pharcol, 8(1): 1-11.
Copyrights: �2025 Vinita Khatri, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.