https://bioai-rizhi.pages.dev來源原文索引；自動歸類不等於事實復核。預印本保留狀態。zh-hant60bioai:a2616d91-7385-45ad-b86f-ffdcd6498fd9https://www.isomorphiclabs.com/articles/isomorphic-labs-joins-the-virtual-biology-initiative[Isomorphic Labs official announcements] Listen: Spotify Apple Podcasts Convened by Biohub, participating organisations are investing funding, data, computation and new measurement technology - the largest coordinated commitment to generating AI-ready biological data to date. The result will be an open resource for the Wed, 07 Oct 2026 00:00:00 GMTbioai:6337ca57-735c-4c8c-960f-a59fb5d20e62https://pubmed.ncbi.nlm.nih.gov/42834230/[PubMed / NCBI E-utilities] Recent advances in spatial transcriptomics (ST) have achieved subcellular spatial resolution, yet existing platforms either capture sparse transcript counts per spot or measure only a limited number of genes, complicating the extraction of comprehensive single-cell information. HMon, 05 Oct 2026 00:00:00 GMTbioai:7c6392c6-ccca-4422-bb26-17a825356188https://pubmed.ncbi.nlm.nih.gov/42816645/[PubMed / NCBI E-utilities] Antibody-based single-cell technologies, such as flow cytometry, mass cytometry and CITE-seq, have become widely used in clinical diagnostics and basic research; however, their analysis is complicated by technical noise, batch effects, platform differences and restricted antibodyWed, 30 Sep 2026 00:00:00 GMTbioai:d2bdfd75-f9dd-4cfa-b3e2-daef7179cdd1https://pubmed.ncbi.nlm.nih.gov/42721963/[PubMed / NCBI E-utilities] Mitochondria are four-dimensional (4D: x, y, z, and time) organelles essential for cellular function. Characterizing their 4D phenotypic landscape across diverse cellular states requires both 4D imaging and analytical frameworks. We present MitoSpace, a self-supervised deep learnThu, 10 Sep 2026 00:00:00 GMT