Nature Biotechnology
PulseAugur coverage of Nature Biotechnology — every cluster mentioning Nature Biotechnology across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI-discovered drug rentosertib enters Phase 3 trials in China
Insilico Medicine, an AI drug discovery company, has advanced its drug rentosertib into Phase 3 trials in China for idiopathic pulmonary fibrosis. This marks a significant milestone as it is claimed to be the first AI-d…
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AI-designed drug rentosertib shows early signs of slowing aging in trial
Insilico Medicine's AI-developed drug candidate, rentosertib, has shown early indications of slowing the aging process in a small clinical trial. The drug, designed to treat chronic lung disease, reduced biological age …
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Asian scientists release 10-year synthetic cell roadmap
Scientists from China, Japan, South Korea, Singapore, Malaysia, and Thailand have jointly published Asia's first 10-year technical roadmap for synthetic cells. Led by researcher Liu Chenli from the Shenzhen Institute of…
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Scientists pioneer DNA-guided CRISPR gene editing system
Scientists at the University of Florida have developed the first DNA-guided CRISPR gene editing system, marking a significant departure from the long-standing reliance on RNA guidance. This breakthrough, published in Na…
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AI designs smart-switch proteins, published in Nature Biotechnology
Researchers have utilized artificial intelligence to design novel proteins capable of functioning as smart switches. These AI-designed proteins, detailed in a publication in Nature Biotechnology, offer new possibilities…
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Google Research accelerates innovation with AI breakthroughs
Google Research is accelerating the pace of scientific discovery through its "magic cycle" of research and real-world application. The company highlighted recent breakthroughs in Earth AI, DeepSomatic, and Quantum Echoe…
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Google AI tool DeepSomatic enhances cancer mutation identification
Google Research has developed DeepSomatic, an AI-powered tool designed to more accurately identify cancer-driving genetic mutations in tumor cells. This new model utilizes convolutional neural networks and can work with…