Biotech visionary. Looking for best drugs with goose data. Retweets mean honking endorsement.

Joined April 2022
Goose Data (wa/wa) retweeted
people arguing developability is some magic sauce these companies have should look at the literature. you have a series of criteria which are hard coded and very trivial (no cysteines in CDRs, reduce possible glycan sites...etc) to internalize and you have a few softer metrics which are open source on the back end. twist, genscript, thermo.....these guys don't have any functional readouts downstream so they have *zero* inference to the utility of the expressed molecules and very limited data on the runs that they do put in their workflows for things like aggregation or thermal stability there is really genuinely nothing special here. i know many pharmas and CROs that have internalized high throughput antibody expression workflows. TWST and companies like them are selling to a specific crowd (cash rich AI x Bio people) who have shown no ability to do this basic thing (make molecules and test them in vitro) and these companies will eventually run out of money propping up this revenue. likely without any drugs to show for it. that said, this means the trade is short term bullish but long term bearish. there is no $100B+ or $1T TAM for this work. drug discovery is not being 'revolutionized'. it is being pushed forward incrementally by very smart people with S-tier judgement in translational science and a real ability to execute. not new people who can't even internalize in vitro work with hundreds of millions in cash
A remarkable overestimation of CRO revenue on the back of a slight improvement to in silico pipelines. Genuinely wreckless and very ignorant of market realities. Yes the AI trade has tailwinds right now but a lot of this post is pure hyperbole and if you're actually putting money on these companies you're better served hedging than putting your foot on the gas of this trade
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Goose Data (wa/wa) retweeted
Masa you crazy genius. Want to share these slides with every biotech founder and investor I know.
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Goose Data (wa/wa) retweeted
Finally, best news of the morning (and something you didn't expect so soon)... Revolution Medicines $RVMD daraxonrasib Ph3 results in second-line pancreatic cancer. Median overall survival in ITT patients (KRAS mutants + wild type combined) Dara 13.2 months vs chemo 6.7 months. OS Hazard ratio 0.40
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Goose Data (wa/wa) retweeted
Replying to @AndyBiotech
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Goose Data (wa/wa) retweeted
I said C. R. L. Now put down the bench book. You’re coming with us.
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Goose Data (wa/wa) retweeted
🙃
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Goose Data (wa/wa) retweeted
Biotech's class of 2021 IPOs Performance since across 79 names: Median = -82% Average = -23% (Thanks $RXDX) Self-inflicted atrocity $XBI
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$SAVA phase 3 study failed
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RFK
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Goose Data (wa/wa) retweeted
This is actually good for $SAVA! 🤪
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T-DXd is one of the most active drugs ever developed for MBC. I’ve seen it change the disease course of many patients, dramatically improving their survival. I hope that the NHS & the companies will find a solution to provide the drug to patients in UK. thelancet.com/journals/lanon…
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Goose Data (wa/wa) retweeted
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Goose Data (wa/wa) retweeted
$AZN $ELEV CLDN18.2 HER2low/HER2- is ~45% of all Gastric cancer, according to AZN On the low end of their estimates, that would be ~40,000 1L patients ~26,000 2L ~13,500 in 3L "𝘣𝘶𝘵 𝘥𝘳𝘶𝘨𝘴, 𝘨𝘢𝘴𝘵𝘳𝘪𝘤 𝘤𝘢𝘯𝘤𝘦𝘳 𝘪𝘴 𝘴𝘰 𝘴𝘮𝘰𝘭!"
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Compounding clinics are writing as many scripts as they can each day and printing money. Transactional treatment. No requirements except money. No care included. No oversight or supervision of treatment. It's all so gross. An abomination and @US_FDA is doing nothing about it.
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Goose Data (wa/wa) retweeted
One more, just more more is needed.
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Kate Middleton X is addictive fun, so got me thinking, what’s the funniest, most moronic, conspiracy addled biotech community on this platform? (Current, not past) Let’s vote!
28%$NWBO
39%$SAVA
18%$PDSB
15%Other (add below)
876 votes • Final results
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Goose Data (wa/wa) retweeted
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Goose Data (wa/wa) retweeted
What a lot of these competitor comparison slides end up looking like:
Many teams present a competitive landscape matrix – co's along the top, attributes along the side, with checkmarks or partially filled in circles to signify strengths of each platform / program. The challenge for VCs with this presentation is that a lot of it is subjective. 1/4
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