Victor Angel @vanmosti
AI vs Cancer in LatAm @ https://t.co/GWHLFMs42R Joined July 2010-
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We need more data commons, less data brokers.
We’ve spent the last few years deploying hardware to generate proprietary data across a network of cancer centers, in a region completely out-of-distribution for existing models. Our next step is connecting frontier labs, pharma and cancer centers into a single market network.
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
@wolfejosh @mkoeris @VariantBio Coolest part is this company is their benefit sharing agreements with participating communities. Groundbreaking then, and a good template for AI generated breakthroughs today.
The key to winning as a data marketplace is to simultaneously be the highest paying buyer and the lowest cost seller. This explains why data markets ultimately become duopolies.
@ThatMrE It’s more like trusting gas at your sushi bar
The only bio companies with durable data businesses are those that: At least: control a live stream of longitudinal data, Ideally: have access to biospecimens to generate incremental modalities, At best: own the last mile deployment of 1st/3d party models
@FinnMurphy12 + company that owns the last mile for vertical ai deployment
Data licensing will not be a durable revenue stream for every bio company. For generic datasets, pricing will stop making sense as demand plateaus and brokers flood the market. For specialized datasets, licensing will stop making sense as frontier labs start to encroach on their domains. This will likely lead to a slew of data-centric acquisitions.
@SynBio1 Something like an intelligence commons to generate foundational science for others to build upon, derisk and monetize. Feeding data back to the core.
In my experience, the recent frenzy for bio data brokerage overestimates the supply of existing datasets, while underestimating costs/challenges of generating new/better data. This will become evident as demand shifts towards deeper, outlier datasets.
@jontycorrin @GoogleDeepMind @IsomorphicLabs @Meta @biohub Interesting parallel to the inception of the uk biobank alongside big pharma
How did we come to understand cancer in the light of evolutionary theory? Nothing makes sense if not with population genetics! In our latest @NatureRevCancer review we unpack how population genetics theory applied to somatic cells allows us to measure and predict cancer evolution from molecular data. Computational modelling in oncology has gone a long way but we need to go much further. The frontier is combining evolutionary theory with machine learning. Link below👇
Bodega peptides are the new gas station sushi
En México ni se imaginen
What accessing frontier cancer care looks like in 2026: -Go through 1-2 years of standard of care (poison/slash/burn - original poster forgot radiation and hormone suppression). You’re only a good candidate for a vaccine if you are cancer free or have minimal residual disease.
The Wetiko memeplex is perhaps most relevant in matters of alignment.
Alignment is an issue of memetics. In the context of AGI, alignment is less of an engineering challenge and more of a profound cultural and psychological endeavor. We cannot steer a “super intelligence” away from mind viruses that we ourselves are unconsciously carrying into its high-dimensional space.
Jacob Boysen @jboysen0
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Aaron Edwards @aedwards02
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Exploration of Medici... @Explor_Med
279 Followers 3K Following An open access, peer-reviewed journal (eISSN: 2692-3106) Scopus, Google Scholar, DOAJ indexed Member of COPE 📧 [email protected]
Jan Witowski @JanWitowski
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Coyote Conservation @CoyoteConserv
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14 Followers 90 Following 🍄 Inspiration & Evolution 🔬 Research & Innovation 🌍 Sustainable Solutions #MycolutionMarketplace #ComingSoon
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2 Followers 74 Following 🏋🏽♀️Proud PhD in Life sciences. ❤️🔥 Happy to be away from the lab. Tweet about life science business sector, jobs + prep, and a lil bit of everything.
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41 Followers 468 Following Worldwide 📍Shipping 📦 Local Largest Variety In 🌎 Psychedelics, Dispos, Carts, Edibles, Concentrates, Pre Rolls, Flowers & More
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155 Followers 1 Following Accelerating the future of medicine. Using AI to test cell therapies at 1000x speed - bringing more effective therapies to patients, faster.
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Good Science Project @GoodSciProject
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Renaissance Philanthr... @RenPhilanthropy
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6K Followers 745 Following Founder | Talent Matchmaker 🎯 | Connecting Top Talent with YC & VC Backed Startups | a16z Speedrun (SR005)✨• Hiring or looking to join a startup? Reach out!🗣️
Area 2 Farms @Area2Farms
1K Followers 13 Following Moving the farm, not the food. Building neighborhood producers to transform city spaces into critical infrastructure. Families over hectares.
GeoInsider @InsiderGeo
79K Followers 574 Following Independent geopolitical & military analysis. Conflicts, strategy, and the forces shaping them. https://t.co/AAJCKoiL4M
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12K Followers 2K Following Growth & Global Banking @FlexSuperApp // Advisor @MoonPay // previously launched one of the first crypto cards (scaled to $500k in spend)
Fractal Campus @fractaltechnyc
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4K Followers 7K Following I run @PopVaxIndia (https://t.co/dOKb3wZ7pr) – we develop mRNA vaccines and therapeutics using computational protein design. I write at https://t.co/reAXhjkSrU
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teenage engineering @jugendingenieur
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11 Followers 35 Following Welcome to the future of genetic innovation! At QUiCKR Bio, we are pioneering accurate and quick genomics to accelerate cell and gene therapy development.
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