Patrick Malone, MD PhD
@patricksmalone
physician-scientist turned biotech investor @KdT_Ventures | helping founders build science and tech-driven companies | writing at http://decodingbio.com
on biotech platform strategy in a new essay, @ElliotHershberg and I riff on biotech platform typology and partnering dynamics. we unpack why many biotechs pivot from external partnerships to internal programs, and why that trend might change in the near future. we start with a…



a core tension in applying "virtual cell" models to therapeutic development is the mismatch between the scale at which we measure biology and the scale at which we intervene. we often measure at the cell level (eg single-cell RNA-seq), but we treat at the tissue or organ level…
Are we headed toward a technology revolution in therapeutic BCI? I just wrote this piece about why I believe neurotech will become an indispensable tool for addressing the growing mental health crisis and become as common as personal computing. 🧵 open.substack.com/pub/brainjacob… #BCI
one frustrating aspect of drug development is that the incentives favor “me-too” programs that chase already-validated targets (e.g., TYK2, GLP-1, PD-(L)1). this is in large part due to the fact that patents protect molecules, not the biology behind them. once a target shows…
if, for almost any real-world problem, a rational person would rather consult AI than any single human, then AI has crossed the practical threshold we meant when we coined the term AGI.
What makes a partnership between pharma and computational drug discovery firms actually work? This session brings together voices from Novartis, Inceptive, Constructive Bio, Terray, and KdT Ventures to unpack how these alliances are built—and what often breaks them. Cynthia…
agreed. and the best way to improve the biotech talent bottleneck is to give promising, emerging management teams the opportunity to prove themselves vs concentrating most of the capital behind a relatively small number of established executives.
The bigger question for me is whether VC money is the rate-limiting factor today for innovation... I don't think it is: 10x more VC money available today than a decade ago. Promising science is also abundant, though translational risk remains high. Shiny new "backable" things…
2024 was a huge year for biotech megarounds, with almost 100 startups raising $100M+ financings. shifting so heavily toward these massive deals—and away from smaller, disciplined rounds—is not a good thing for biotech. there are important downsides and knock-on effects for an…

love this framing of venture feedback loops as an RL problem. vc is fundamentally a “wicked” learning environment - the connection between cause (the decision to invest) and effect (investment returns) is complex, feedback is delayed or misleading, and patterns that worked in the…
venture feedback loops are not that long... if you instrument correctly
🫡 congrats @zavaindar @nanli @AGoulburn
Today we're unveiling Dimension II: a $500M fund to support and partner with the leading builders at the vanguard of life sciences and technology. To our entrepreneurs, past present and future: Our work is far from done. LFG.
awesome opportunity for scientist-entrepreneurs that want to build a neuro startup. join us!
Announcing the Future Neuro Founders Workshop co-hosted by @PsymedVentures and @KdT_Ventures! This virtual workshop is for scientists (PhDs, MDs, postdocs, professors) who want to build a neuroscience startup. Sign up here: lu.ma/xox6edul
it's our second birthday at decoding bio. help us improve! we're conducting a short survey of our community, only takes a few minutes to complete: docs.google.com/forms/d/e/1FAI…

Recursion's clinical trial readouts are not a referendum on the value of AI in drug discovery. some thoughts...

NVentures backed @Terray_Tx, has unveiled COATI-LDM—a groundbreaking #genAI model for designing small molecules with precision. This innovative example of inverse design has potential to greatly accelerate #drugdiscovery. Check out the arXiv preprint nvda.ws/3MhwqDF
if you can compress biology, you can predict biology one way to think about the power of LLMs is as extremely efficient data compression algorithms. at their core, LLMs learn to map high-dimensional input data (e.g., a biological sequence such as a protein) to lower-dimensional…

the 2024 edition of the Decoding Bio report is live! we analyzed many of the most impactful recent papers in AI, biosecurity, cell-based medicines, immunology, and biotech software. from the jump, a core goal of Decoding Bio has been to clearly communicate why these…

A primer on molecular dynamics (MD) abhishaike.com/p/a-primer-on-… this covers a lot of the absolute basics of MD in a way that is (hopefully) easy to read. at around 7.6k words, this is the longest post ive made click to see the table of contents in the replies 🧵🧵🧵