How 2026 Started: First-Weeks Readout on AI, Pharma, & Policy
Early-year overview spanning virtual cell modeling, AI workflow plumbing in R&D and healthcare, obesity-driven capital and licensing, patent-cliff positioning, and FDA/EU policy signals.
The year opened hot, with the first weeks of January packed with deal flow, mega-rounds, platform launches, and AI model deployments as JPM week got underway. Companies doubled down on AI partnerships and infrastructure: for example, Eli Lilly and NVIDIA announced a $1 billion, five-year joint AI lab in San Francisco, aimed at making computational models core drug R&D infrastructure.
Efforts to amass massive “virtual biology” datasets also made news with Tahoe Therapeutics, Arc Institute, and Chan Zuckerberg Biohub combined roughly 120M single‑cell profiles and 225k perturbations into what they position as the largest open resource for virtual cell modeling. Illumina unveiled a Billion Cell Atlas, built with AstraZeneca, Merck, and Lilly, to train models on standardized cell-line experiments. Observers, though, kept a critical eye on translation, noting that cell lines are not patients and these curated perturbation signals may not cleanly map to real clinical biology. A smaller but distinctive example of the “data and population specificity” theme was BioMed X and the Barbados government’s project to model early diabetic kidney disease using deep molecular profiling and AI, framed as a population-specific “digital African twin.”
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