{"scope":{"layer":"general","tissue_scope":"unknown","species":"unknown","system":"unknown","evidence_level":"news_lead","importance":"","importance_reason":""},"id":"VC0157","type":"news","title":"International, cross-sector collaboration commits nearly $2 billion to build foundational data for AI models to predict and treat disease","authors_or_org":"Biohub (with U.S. DOE Office of Science and NIH)","date":"2026-10-07","year":"2026","venue":"Biohub news (organisation announcement)","url":"https://biohub.org/news/virtual-biology-initiative-expansion/","doi":"","pmid":"","brain_tumor_focus":"no","tags":["news","platform","dataset","aivc"],"tag_slugs":["news","platform","dataset","aivc"],"tag_labels":["News","Platform","Dataset","AI virtual cell"],"tag_labels_zh":["新闻","平台","数据集","AI 虚拟细胞"],"unmapped_tags":[],"one_line_summary_en":"Organisation announcement (funding and data commitment, not a model or result): Biohub, the U.S. DOE Office of Science and NIH expand the Virtual Biology Initiative (announced April 2026), with a stated $1.8 billion in funding, data, computation and measurement technology for open, AI-ready biological data. Stated components: DOE more than $500M over five years; NIH to coordinate datasets and repositories from more than $500M in prior federal investment (Bio Genesis Mission); Google DeepMind, Isomorphic Labs and Meta collectively $300M; Biohub's founding $500M commitment. No data-release timeline is given.","one_line_summary_zh":"机构公告（资金与数据承诺，并非模型或结果）：Biohub 联合美国能源部（DOE）科学办公室与 NIH 扩大“虚拟生物学计划”（Virtual Biology Initiative，2026 年 4 月宣布），称共投入 18 亿美元的资金、数据、算力与测量技术，用于开放的 AI 就绪生物数据。所述构成：DOE 五年逾 5 亿美元；NIH 协调既往逾 5 亿美元联邦投资形成的数据集与数据库（Bio Genesis Mission）；Google DeepMind、Isomorphic Labs 与 Meta 合计 3 亿美元；Biohub 自身 5 亿美元奠基承诺。公告未给出数据发布时间表。","verified":"yes","verification_source":"Biohub news page fetched 2026-10-20 (title, dateline 2026-10-07, amounts, partners); corroborated by NIH news release and DOE Office of Science article of the same date (via web search 2026-10-20); claims are the organisations' own","page_url":"https://gliostate.com/library/VC0157/","api_url":"https://gliostate.com/api/items/VC0157.json","sameAs":["https://biohub.org/news/virtual-biology-initiative-expansion/"],"is_preprint":false,"facets":{"type":"https://gliostate.com/library/type/news/","year":"https://gliostate.com/library/year/2026/","tags":["https://gliostate.com/library/tag/news/","https://gliostate.com/library/tag/platform/","https://gliostate.com/library/tag/dataset/","https://gliostate.com/library/tag/aivc/"]},"cited_by":[],"related":[{"id":"VC0148","title":"AI-Driven Precision Oncology Startup aiPTO Unveils #1-Ranked DELPHAI Model, Bridging the \"Scale Gap\" From Virtual Cells to Virtual Tumors","shared_tags":["news","platform"],"page_url":"https://gliostate.com/library/VC0148/","api_url":"https://gliostate.com/api/items/VC0148.json"},{"id":"VC0158","title":"Tahoe Therapeutics, Arc Institute, and Biohub Partner to Generate the Largest Perturbation Dataset for Virtual Cell Models","shared_tags":["news","dataset"],"page_url":"https://gliostate.com/library/VC0158/","api_url":"https://gliostate.com/api/items/VC0158.json"},{"id":"VC0043","title":"CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data.","shared_tags":["platform"],"page_url":"https://gliostate.com/library/VC0043/","api_url":"https://gliostate.com/api/items/VC0043.json"},{"id":"VC0100","title":"CZI Virtual Cells Platform","shared_tags":["platform"],"page_url":"https://gliostate.com/library/VC0100/","api_url":"https://gliostate.com/api/items/VC0100.json"},{"id":"VC0103","title":"Arc Institute Virtual Cell Initiative","shared_tags":["platform"],"page_url":"https://gliostate.com/library/VC0103/","api_url":"https://gliostate.com/api/items/VC0103.json"},{"id":"VC0108","title":"Xaira's first virtual cell model is largest to-date","shared_tags":["news"],"page_url":"https://gliostate.com/library/VC0108/","api_url":"https://gliostate.com/api/items/VC0108.json"}]}