Paving the way for personalized medicine — Deep Learning and Pharmacogenomics

William Law
6 min readJan 9, 2020

You hear all the breakthroughs with artificial intelligence (AI), whether that’s beating five other professional poker players in a game of Texas Holdem, or Waymo’s self-driving car taxi service that’s quickly coming to production, or even finding faster ways to detect breast cancer.

The field of AI is growing exponentially, with discoveries like those happening frequently. But, what’s not that frequent compared to AI, is the progress in healthcare. Recently, there’s been this new field called pharmacogenomics, which is about studying “how genes affect a person’s response to drugs.

Just like how AI intersects with many fields, pharmacogenomics is the intersection between “pharmacology (the science of drugs) and genomics (the study of genes and functions)”. This new field aims to solve some of the challenges in developing effective and safe personalized medications.

So many intersections!!

But wait … we can also combine AI with pharmacogenomics to help speed the process up faster!

Recently, there’s this paper published by the University of Michigan exploring the intersection of deep learning (a discipline in AI) with pharmacogenomics. Particularly, the three main points that stood out where AI can be used are the…

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William Law

swe // trading — prev: @MLHacks, eng @ early-stage startups | Twitter @wlaw_