Miscellaneous

UCSF Medical Center has opened a new automated hospital pharmacy believed to be the nation's most comprehensive facility using robotic technology and electronics to prepare and track medications with the goal of improving patient safety. Not a single error has occurred in the 350,000 doses of medication prepared during the system's recent phase implementation.

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Pharmaceutical firms are beginning to rewrite the rules of patient safety. Bringing process and industry expertise together in a connected ecosystem enabled by AI, RPA, and machine learning, has unlocked a new era for pharmacovigilance.

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We need to change how we prescribe drugs, says physician Daniel Kraft: too often, medications are dosed incorrectly, cause toxic side effects or just don't work. In a talk and concept demo, Kraft shares his vision for a future of personalized medication, unveiling a prototype 3D printer that could design pills that adapt to our individual needs.

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A tumultuous first quarter to say the least, but what does it mean for your AI initiatives? Are hospitals and pharmaceutical companies spending less energy pushing their AI initiatives forward? Or is AI and automation more important than ever in this time of economic uncertainty?

PANELISTS:
- Subroto Mukherjee, Senior Manager and Head of Innovation and Emerging Technology, Americas, GlaxoSmithKline Consumer Healthcare
- Sandeep Burugupalli, Senior Director, Global Medical Epidemiology, Data Center of Excellence, Pfizer [Moderator]
- Tatiana Sorokina, Solutions Director, Data Science & Artificial Intelligence, Novartis
- Eric Maloney, Director of Strategy – Advisory Partners, Blue Prism
- Abhijit Chakraverty, Managing Director, Deloitte Consulting

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Robert Langer is a professor at MIT and one of the most cited researchers in history, specializing in biotechnology fields of drug delivery systems and tissue engineering. He has bridged theory and practice by being a key member and driving force in launching many successful biotech companies out of MIT. This conversation is part of the Artificial Intelligence podcast.

Outline:
0:00 - Introduction
3:07 - Magic and science
5:34 - Memorable rejection
8:35 - How to come up with big ideas in science
13:27 - How to make a new drug
22:38 - Drug delivery
28:22 - Tissue engineering
35:22 - Beautiful idea in bioengineering
38:16 - Patenting process
42:21 - What does it take to build a successful startup?
46:18 - Mentoring students
50:54 - Funding
58:08 - Cookies
59:41 - What are you most proud of?

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