| |  Discover how AI-powered analytics and experimental validation combine to improve target identification and accelerate drug discovery success. | |
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| |  Discover how the next generation of DMTA is creating a future-ready drug discovery engine through AI and automation. | |
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| |  A landmark study led from Lund, Sweden, has shown that transplanting stem-cell derived dopamine progenitor cells into the brain is feasible. | |
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| |  Penn Engineers have developed PeptiVerse, an AI-powered platform that predicts key chemical and biological properties of peptides, the strings of amino acids whose medical potential has been demonstrated by the success of GLP-1 drugs, the widely used weight-loss treatments. | |
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| |  European-funded consortium brings together researchers from 13 countries to evaluate bacteriophage therapy as a potential alternative to antibiotics for recurrent urinary tract infections. | |
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| |  Binghamton University chemists have discovered a new mechanism that could potentially lead to quicker outcomes in pharmaceutical research. | |
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| |  As general-purpose and domain-specific AI models rapidly infiltrate drug discovery, one critical question looms over the pharmaceutical sector: Can these models actually discover drugs, or are they just good at taking tests? | |
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| |  Automated DNA construct generation combines fragment recycling, and digital integration to accelerate early-stage drug discovery. | |
