Posted January 9, 2020
Editor’s Note: This post first appeared as an edition of the CFI Bio
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Biology today is where information technology was 50 years ago. Our ability to
engineer biology will change how we diagnose, treat, and manage disease; create new
medicines and therapeutics; how we access, pay for, and deliver healthcare… and how
it will eat, er, change our world (here’s our manifesto).
Here’s our guide to the why, what, where, and how science is becoming
engineering.
Foundations and frameworks
- Eroom’s
Law Information technology has Moore’s Law, but bio has had
the reverse (for worse). To us, that means opportunity — this video
shares why.
- AI
is driving discovery Even how we do science itself is
changing, thanks in large part to AI industrializing knowledge discovery, as
described in this video.
- Programming
medicine From the cell to the gene to the living
microbiome, our ability to “program” medicine changes how we design drugs,
therapies, and ways to treat disease. This presentation shares the evolution of
what medicine is becoming.
Broader Landscape and Systems
- Pharma: This wide-ranging conversation with
the CEO of Novartis debates what’s science vs science fiction when it comes to
science becoming engineering — how do these questions play out in a huge company
within a complex industry?
- Manufacturing: How will new kinds of medicines be manufactured,
scaled, delivered? Field notes from the Cell
and Gene Meeting on the Mesa on how entrepreneurs,
biopharma leaders, and contract organizations are doubling down and overcoming
challenges in getting new medicines to the most patients.
- Care Delivery: Not only is software
eating care delivery (this video shows where and why), new
technologies like
pharma delivery drones and others are starting to solve the
last mile.
- Policy: With all the recent
statements against germline editing and regulatory moves
around gene therapy kits and more (and meanwhile, clinical trials for CRISPR are
finally coming of age) — what’s hype, what’s real; where are we now?
- Innovation ecosystems: There used to be two very different
Boston and Silicon Valley company building models for bio/tech. Now there’s a
new breed of multidisciplinary founders — and an entirely new model for the next
generation of bio startups: “born
in the wild vs. bred in captivity”.
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