This is a remainder to all of you to attend Monday August 22, 2022 BBBAS Community webinar on AI/ML in Clinical studies.
Dear Fellow Pharmaceutical Scientists:Mark your calendars and plan on attending August 22nd webinar on
Artificial Intelligence and Machine learning as tools for Optimal design of Bioavailability /Bioequivalence programs
Speaker: Jothi Periasamy, Chief Data Scientist/Founder Jothi.AI, Deepspere.ai, USA
Date: August 22, 2022, 9.00-11.00 am (EST)
Please join my meeting from your computer, tablet or smart phone. https://meet.goto.com/919579717
Also dial in using your phone. United States: +1 (571) 317-3122, Access Code: 919-579-717
Join from a video-conferencing room or system. Dial in or type: 67.217.95.2 or inroomlink.goto.com Meeting ID: 919 579 717
Or dial directly: [email protected] or 67.217.95.2##919579717
Abstract: Artificial intelligence and machine learning principles, and concepts of data science/data-leveraging are complex and challenging concepts for life science scientists during attempts to apply these concepts in designing non-clinical and clinical development programs.
Bioavailability and Bioequivalence studies are governed mainly by US-FDA product-specific guidance (PSG) and other general guidance on bioavailability and bioequivalence and bioanalytical method validation. Designing these BA/BE studies becomes challenging task when they must be conducted in difficult to access patient population posing difficulties in recruitment and retention. Designing BA/BE programs for high-value complex generic products which requires detailed understanding of various principles of formulation development, as well as molecular and formulation-specific factors that influence the pharmacokinetic equivalence conclusions.
This webinar intends to serve as starting point for introducing AI and ML DS principles to scientists involved in designing BA/BE and early stage (Phase 0 and 1) clinical programs. The basic knowledge gained in this webinar may lead to the application of these principles in the areas of repositioning/repurposing the medicinal agents, formulation development, novel drug delivery systems, regulatory and IP management
Speaker's Biography: Jothi Periasamy is a chief architect and subject matter expert of applied artificial intelligence and data with proven expertise and hands-on skills in machine learning, intelligent automation, data science, data engineering, digital transformation, multi-cloud, and business process automation, training, and talent creation. Jothi has twenty-plus (20+) years of management consulting experience in leadership, management, design, delivery, program, and project execution with KPMG, E&Y, and Deloitte. Jothi engaged with the University of California, MIT Sloan School of Management, on several innovative educational projects on artificial intelligence, data science, machine learning, data engineering, and cloud computing. Jothi is engaged with fifty (50+) client projects across various industries, including health, oil & gas, energy, retail, and public services.
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Prasad Tata M. Pharm, Ph.D., FCP
Sr. Director-PK/BE
American Regent, Inc.
Princeton NJ
[email protected]Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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