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A light dinner is included.
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Applying machine learning and artificial intelligence to the development of a pharmaceutical tablet
Connecting for an AAPS/BADG + Bio2Device Group joint event
Edward Yost, Principal Scientific Researcher at Genentech
Event Information
Event Topic:
Applying machine learning and artificial intelligence to the development of a pharmaceutical tablet
Event Description:
Scientific research, technology, and drug development cohesively linked together – at-scale – in both a practical and strategic perspective is necessary for the biopharma industry. This cooperation addresses biopharma’s need to be fast and flexible with the end goal of new medicines for the patient. By following the science, we can meet the challenges of the road from drug discovery to approval with a greater understanding of what we need for success and how we achieve it. The presentation will discuss the application of machine learning (ML) and artificial intelligence (AI) to the formulation and process development of a pharmaceutical tablet. This application demonstrates the importance of ML/AI technology by assisting scientific understanding of tableting risks. The product knowledge is essential to identify the relative impact of formulation and process changes on product quality and thus ensuring the delivery of the drug product to the clinical site.
Date/Time:
Date(s) - 02/11/20
6:00 pm - 9:00 pm
Event Location:
Wilson Sonsini Goodrich & Rosati – 650 Page Mill Rd, Palo Alto:
Speaker Information
Event Speaker:
Edward Yost
Event Speaker Title:
Principal Scientific Researcher
Event Speaker Company:
Genentech/Roche
Event Speaker Bio:
Ed is a Principal Scientific Researcher in the small molecule pharmaceutics group at Genentech. He has 18 years of diverse experience in small molecule drug product development – including injectable, meter dose inhaler, dry powder inhaler, and immediate-release tablet dosage forms – from pre-clinical to late-stage development. His research has been published or presented in prominent journals and conferences with the most recent being a first author publication in the Journal of Pharmaceutical Sciences – one of the most prominent journals in pharmaceutical sciences – concerning the application of X-ray micro-CT and artificial intelligence-assisted image processing to determine the presence of cracks inside tablets. During the past 11 years at Genentech, he has developed dry powder inhaler and tablet formulations while implementing mechanical property and process simulation assessment strategies. Also, Ed has led the drug product tech transfer of many projects to Roche (Basel, Switzerland). Ed is the chair of the AAPS Bay Area Discussion Group. His research interests include process simulation for material-sparing tablet development and particle dispersion for inhalation delivery.
Event Details
Cost:
Members $15 who pre-registered; $10- Student/In-transition; General Public $20, Walk-In, $30 (if space permits)
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