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Foundations of AI for Life Sciences and Healthcare

Hosted by Kamayani Gupta and Michelle Yi

60 students

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AI Literacy for Life Sciences & Healthcare: Foundations
Kamayani Gupta and Michelle Yi
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What you'll learn

Understand what AI is fundamentally

Be able to explain succinctly the differences between LLMs, reasoning models, and other AI.

The mechanics of how models work

You'll learn how data becomes fully formed actions performed by a machine

How tokens work and their costs

Afterwards, you'll understand why certain actions cost more than others

Why this topic matters

AI is everywhere but most explanations bury you in jargon or oversimplify. In 30 minutes, you'll know the real difference between an LLM, a reasoning model, and other AI; distinctions that matter when evaluating a tool. We'll walk through a visual of how a model turns data into action, built for life sciences and healthcare, plus why some AI tasks cost more and the token mechanics behind it. These are the foundations for what is to come next!

You'll learn from

Kamayani Gupta

A life sciences expert who finds better ways to adopt technology for the domain

She enjoys working with new technologies to reduce redundant workflows and biases in the drug discovery to commercialization pipeline, and has worked with fortune 100 pharmaceutical and medical device companies. Kamayani was an early member of IBM Watson for Drug Discovery and the former Head of Life Sciences R&D for Slalom.

Michelle Yi

A technology leader and investor that specializes in AI and cloud computing

She has 20 years of experience in the technology industry, contributed to the original IBM Watson showcased on Jeopardy, and enjoys building and leading teams that develop and deploy AI solutions to solve real-world problems. Michelle is passionate about diversity, STEM education/careers for our minority communities, and serves on the board of Women in Data.

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