@ShiwarskiLab developed a comprehensive tissue engineering platform to fabricate organ-on-a-chip devices. Using FRESH bioprinting to extrude cellulose-based scaffolds dubbed CHIPS, they printed a pancreatic-like system that excreted 8 ng of insulin in 24 hours.
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@DarioAmodei, CEO of @AnthropicAI, argues interpretability is essential to guiding AI toward human benefit, highlighting findings like millions of overlapping features in LLMs and the ability to manipulate concepts like the Golden Gate Bridge within a model’s reasoning.
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@andreww_lu et al. have developed a modular protein circuit which senses and kills cells expressing mutant Ras, with better efficacy and safety profiles than existing Ras inhibitors.
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@SooYongLee11 et al. show LLMs can slip into self‑reinforcing, psychopathological‑like loops; dysfunctional “thought” states sustained by network dynamics. Using synthetic data + a sparse autoencoder, they spot & nudge these states, flagging fresh AI‑safety risks.
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Manipulating the epigenome is the alchemy of the modern biotechnologist. @z_chiang covers the history of decoding the epigenome in pursuit of health and longevity whilst highlighting the current state of the research, major hurdles, ethical debates, and prescient changes.
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Welcome to the first installation of a thread of what we read: a thread in which we highlight exciting new developments in biotech. All are covered in our weekly BioByte (linked in comments!)
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