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    Researchers link cell crowding to optimal treatment timing●Treatment resistance is one of the key challenges in cancer and antibiotic therapy. Researchers led by Dr. Jona Kayser aMmastodonHealthMedicine511 h ago

    Researchers led by Dr. Jona Kayser at MPZPM report that physical processes in dense cell populations strongly influence the best timing of treatment cycles, with implications for both cancer therapy and antibiotics. Treatment resistance remains one of the central challenges in medicine, and the findings suggest that timing could be adjusted based on how tightly cells pack together rather than on biology alone. The work points to new ways of scheduling therapies to delay or avoid resistance.

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    ChemBioTalks features new metallo-beta-lactamase degrader strategy●Interesting Flash Talk by Lars Stevens-Cullinane from the group of Jeannine Hess at the 6th Virtual @ ChemBioTalks . HeMmastodonScience22 h ago

    At the 6th Virtual ChemBioTalks, Lars Stevens-Cullinane from Jeannine Hess's group gave a flash talk on a metal-dependent degrader strategy targeting metallo-beta-lactamases in Gram-negative bacteria. The approach could offer a way to undermine antibiotic resistance in hard-to-treat pathogens, and the talk accompanies a recent paper in JACS.

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    What Problems Has AI Actually Solved?●What Has AI Actually Solved? The Biggest Problems Where Machines Found Real Answers Exploring the biggest problems whereMmastodonTechnologyAI13 h ago

    A new visualization highlights the concrete breakthroughs where artificial intelligence has delivered real answers, focusing on protein folding, antibiotic discovery, and materials science. The piece is prompting discussion about which scientific problems machines have genuinely cracked, rather than the usual hype, and where AI's practical impact on research has so far been limited.