Scaling Biotech
Jesse JohnsonExploring how big pharma partners with AI startups to build internal capabilities, data and models
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 264 | Founded | 6 years ago | Last Issue | 7 days ago |
| Active | |||||
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scalingbiotech.substack.comLatest Issues
Paired assays and the clinical information bottleneck
Here’s another one in the category of “assay types matter less than you might think”: NOETIK recently published a blog post announcing that their new foundation model, TARIO-2 can predict spatial transcriptomics values from routinely collec...
Say good bye to single-assay training datasets
A few times in recent posts, I’ve claimed (without evidence) that bio foundation models can be trained on readouts from different kinds of assays to create a single model that’s more powerful than you could’ve gotten from any one assay alon...
Your data is probably (secretly) biased
A few weeks ago, I wrote about a paper where Leash Bio showed (among other things) that the data that is commonly used for benchmarking small molecule binding models is biased by the design quirks of individual chemists. This week, I’ve got...
Making data AI-ready isn't cheap
Often, the biggest expense involved in integrating a bio foundation model into a biopharma pipeline, after the lab work itself, is getting the data into a model-ready form. I’ve been rewriting (and adding figures to) my guide to significant...
Data Strategy meets Commercial Strategy for Virtual Cell Models
In the process of writing my Buyer’s Guide to Virtual Cell Models, I’ve noticed some interesting correlations between the data strategies and the commercial strategies of the different virtual cell providers, which I think are interesting e...
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