
Epid @UNCpublichealth | Biostats @usfcoph | Math/CS @XavierU | Biochem @TulaneCBE || đ Ascending beyond just healthy aging mandates https://teapawt.net/t.co/JE2bhVjCml đ
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Joined October 2023
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Imagine when AI consistently generatesânot some estimateâbut the EXACT causal effect of ANY intervention on ANY outcome possibleâdown to the VERY DAY it happens!
By 2020, I already did.
Weâ@OpenAI, @Merck, & Iâseek fellow frontierists ready to leadâŚ
đŻ aging-us.com/article/102916/âŚ
đ¤ Made with AI
NIASCEND | Dr. Dmitry Kats retweeted
Replying to @AlanaDLevin
Wonder whyâŚ
Early-life antibiotic dysbiosis impairs microbial tryptophan-nicotinic acid metabolism exacerbating food allergy in adulthood
sciencedirect.com/science/arâŚ
NIASCEND | Dr. Dmitry Kats retweeted
That they donât even realize what tryptophan is for?
Early-life antibiotic dysbiosis impairs microbial tryptophan-nicotinic acid metabolism exacerbating food allergy in adulthood
sciencedirect.com/science/arâŚ
NIASCEND | Dr. Dmitry Kats retweeted
Replying to @AlanaDLevin
But not this eh?
Early-life antibiotic dysbiosis impairs microbial tryptophan-nicotinic acid metabolism exacerbating food allergy in adulthood
sciencedirect.com/science/arâŚ
They got these people fiendin
Replying to @zhodonx @AnthropicAI
bms is literally one of the six partners, big pharma already said yes
This is money laundering.
Surprise 1: Anthropic acquired a one-person biotech
.
.
.
Surprise 2: that person is me
Surprise 3: Iâm here to tell you all about it
Yes, this is what you think it is; after 6 yrs of increasingly loose anonymity: the Professor Oak reveal post
âŚand yes, it has gotten so boring around here that Iâm literally doxxing myself to spice up the timeline
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Ok, allow me to introduce myself. My name is Cody Tranbarger. I mostly tweet, but occasionally find time to dabble in drug dev & starting/building biotechs. My past lives span the VC, crossover, startup continuum; Prof Oak has been my way of keeping a digital foot in those worlds, despite having my physical feet planted elsewhere.
The past 18 mo, âelsewhereâ was Mithril Medicine, a co. I founded to develop bsAbs for LAMA2-CMD & other ECM-related genetic diseases.
Mithril was born out of hands-on building with @MikeNGladstone, @JasonPaulRhodes, @LifeSciVC, & team @atlasventure. Somehow, I made enough half-decent calls along the way (even a broken clock is right twice a day, eh?) to convince them Mithril/I warranted a small seed. While I can hardly rationalize such an outrageously cavalier bet, Iâm grateful for it, & I'd partner with Atlas again in a heartbeat.
In typical AV fashion, Mithrilâs primordial form was virtual, decentralized, & ultra-lean. This stage tends to be short-lived, but for Mithril, it worked surprisingly well, for surprisingly long, thanks in part to the rapid maturation of the AI tools I used liberally.
Eventually, Mithril became a bit of an experiment itself - to find the upper bound of how far it could scale as a single operator + a bunch of Claude (+ a stellar bench of part-time consultants).
In parallel, I started spending time with @nc_frey, @an1lam, & @CoefficientBio team; and promptly experienced, for the 1st time, AI at the frontier. Soon thereafter, Mithril stopped looking like an experiment, & started looking like a preview of an entirely new operating model.
From that spark came âPipeline-in-a-Person.â The idea immediately resonated when we shared it here back in April; and it was central to the shared vision that led to Anthropicâs acquisition of Mithril, & my joining the team.
Why join Anthropic? Three reasons.
(1) For Mithril, the programs continue, with more resources & infrastructure behind them, and as much Claude as I can put to work.
(2) For me, the chance to start several more programs, & find out how many one person can actually run in parallel - an almost unprecedented luxury for a curious drug hunter.
(3) For our mission, a path to institutionalize & scale this new way of working, then put it in the hands of all of biopharma, all over the world - which, candidly, I find the most energizing.
Will AI x Bio cure diseases? Unequivocally yes, imo⌠but not by the route that gets the most airtime. Rather than timeline acceleration & compression, I see orchestration & parallelization as today's low-hanging fruit.
Most drug hunters see a handful of go/no-go calls in a career, & spend entirely too much of the rest trading emails (my inbox can attest).
Give them the bandwidth to run several programs at once, and the time to focus on scientific judgment, and Iâm willing to bet theyâll make better calls. And at scale, better calls translate to more drugs, higher hit rates, broader patient impact, & likely, a disease or 10 or 100 cured. I couldn't be more excited to build toward that future @AnthropicAI.
Finally, a heartfelt thank you to BioTwitter/X. The end of anonymity is bittersweet, but if anyoneâs earned a proper introduction, you all have.
Itâs difficult to overstate how much this app has done for me: a decade of education, plenty of friends, many job opportunities, several mentors, a few investors, even a co-founder (fmr). It was the generosity of this community that inspired me to start posting 6 years ago, after just as many years lurking. I hope Iâve been able to pay it forward, in my own small way.
But, to be clear, Prof Oak isnât going anywhere. Same beat, same themes, and now, a front-row seat to drug development at the frontier. Stay tuned for dispatches from the trenches; and remember...
Gotta Cure 'Em All
Replying to @NIASCEND @SmartScience
7/9 COVID accelerates inflammatory Trp degradation, draining the Trp pool needed to maintain and regenerate tissue. Nicotinic acid specifically activates HCAR2/GPR109Aâbut niacin alone cannot rebuild Trp-dependent tissue or receptor protein once that substrate has been depleted.
NIASCEND | Dr. Dmitry Kats retweeted
Imagine when AI consistently generatesânot some estimateâbut the EXACT causal effect of ANY intervention on ANY outcome possibleâdown to the VERY DAY it happens!
By 2020, I already did.
Weâ@OpenAI, @Merck, & Iâseek fellow frontierists ready to leadâŚ
đŻ aging-us.com/article/102916/âŚ
đ¤ Made with AI
NIASCEND | Dr. Dmitry Kats retweeted
NA proves itâs the ONLY NAD choice BY the flushânot balk but SIGN of enough potential energy flux as NAADP through NAD/NADP for excess energy expenditure vs accrual along aging/disease thatâs STRONGER than exerciseâshaking potential energy out storesâexposing NAM/NMN/NR as futile
Replying to @NIASCEND @j0ssyoursalad
The [anti-inflammatory] flush [which for those more pellagric from the start is far less hostile coming w/ necessary tryptophans to restore tissue niacin binds toâGPR109Aâthat grew fried away as a result of decades w/o niacin]ârememberâis nothing more than a random âside effectâ!
NIASCEND | Dr. Dmitry Kats retweeted
I would take HOM3OSTASIS.com/NIASCEND seriouslyâand monogamously
Tryptophan-Nicotinic Acid Metabolism in Patients with Tumours of the Bladder and Kidney
pmc.ncbi.nlm.nih.gov/articleâŚ
Cheers!
NIASCEND | Dr. Dmitry Kats retweeted
Replying to @TradesByJacob @CaseySapp
Not cures. But many treatments can get you back to a functional human.
Have you tried Niacin therapy?
Helped me bigtime in 2020 then they wiped @NIASCEND off the social medias
NIASCEND | Dr. Dmitry Kats retweeted
Marketing amides over nicotinic acid defies logic. NMN, NR, and NAM start behind, choked by deamidation bottlenecks that can never yield or realize high-level NA flux. Paying a premium for amides buys an inherently throttled pathway that fails where direct NA succeeds.
NIASCEND | Dr. Dmitry Kats retweeted
Mainstream longevity marketing reframed the harmless flush as a structural flaw to push patented, non-flushing amides like NMN & NR, steering public focus away from direct nicotinic acid, locking consumers into fruitless derivative pathways, and hiding the kinetic reality. (1/6)
NIASCEND | Dr. Dmitry Kats retweeted
Commercial amides hit strict low-capacity NAMPT limits, requiring slow, rate-limited deamidation just to yield free nicotinic acid, meaning they deliver only a weak, metered trickle instead of the uncompromised metabolic surge required for real disease reversal. (2/6)
NIASCEND | Dr. Dmitry Kats retweeted
While conventional studies track static, superficial biomarker snapshots, my advanced MCMC-simulated Bayesian joint models of life-course ARIC cohort dataârigorously accounting for non-ignorable attritionâproved uncompromised nicotinic acid flux is completely irreplaceable. (3/6)





















