美国Biohub、能源部、国立卫生研究院等机构于2026年10月7日宣布，将投入18亿美元建立用于AI生物学模型的开放数据资源1。这一虚拟生物学倡议汇聚多方资金和技术力量，旨在生成可用于训练预测性生物AI模型的标准化生物学数据集，从而加速疾病研究和治疗1。
具体而言，美国能源部将在五年内投资超过5亿美元1，国立卫生研究院贡献超过5亿美元的既有联邦投资1，而Biohub承诺投入5亿美元，其中4亿美元用于新技术开发，1亿美元支持Biohub外部研究1。谷歌DeepMind、Isomorphic Labs和Meta等科技企业集体投资3亿美元1。
Biohub首席科学官Alex Rives表示，"虚拟细胞的创建是下一个科学时代最重要的挑战之一"1。美国能源部科学次卿Darío Gil强调，"这种伙伴关系代表了利用人工智能谋求公共利益的关键进步"1。该倡议原始公告发布于2026年4月1。
A consortium of leading scientific institutions and technology companies announced a $1.8 billion investment to establish standardized biological datasets designed for artificial intelligence model development 1. The initiative, unveiled on October 7, 2026, brings together the U.S. Department of Energy, the National Institutes of Health, Biohub, Google DeepMind, Isomorphic Labs, and Meta to create an open data resource supporting predictive biological AI research and accelerating disease investigation and treatment development 1.
The funding commitment reflects substantial contributions from multiple stakeholders. The Department of Energy will invest more than $500 million over five years, while the National Institutes of Health will contribute more than $500 million in existing federal investment 1. Google DeepMind, Isomorphic Labs, and Meta collectively pledge $300 million, and Biohub commits $500 million, with $400 million allocated to new technology development and $100 million supporting external research conducted outside Biohub 1.
The effort builds on the Virtual Biology Initiative, which was initially announced in April 2026 1. According to Alex Rives, Biohub's chief scientist, "the creation of virtual cells represents one of the most important challenges of the next scientific era" 1. Darío Gil, the Department of Energy's Under Secretary for Science, characterized the partnership as "a critical advance in leveraging artificial intelligence for the public good" 1.
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