预测免疫学循环
Search documents
扎克伯格承诺捐款超2000亿美元,加大AI投入,誓要攻克所有疾病
生物世界· 2025-11-12 09:00
Core Insights - The Chan Zuckerberg Initiative (CZI) was established in 2015 with a goal to cure, prevent, or manage all diseases by the end of the century, backed by a commitment of 99% of Mark Zuckerberg's wealth, approximately $45 billion at the time, which has now grown to over $200 billion due to advancements in AI [2][4] - CZI has shifted its focus away from social issues, concentrating almost exclusively on scientific research, and has announced plans to double its investment in AI to accelerate its ambitious health goals [4][5] Funding and Investment - CZI's total commitment is approximately $220 billion, with an annual expenditure of $1 billion, surpassing traditional biomedical charity giants like the Howard Hughes Medical Institute and the Gates Foundation [5] - In its second decade, CZI plans to invest at least $10 billion in basic scientific research, which is more than double the $4 billion spent in its first decade [5] AI and Research Initiatives - CZI has launched a significant AI project aimed at creating a virtual model of the human immune system to expedite the exploration of new therapies [6] - Alex Rives, a prominent computer scientist known for developing protein language models, has been appointed as the scientific director of CZI, indicating a strong commitment to AI in biological research [6][9] Virtual Immune System Development - CZI has restructured its labs into a nonprofit research entity called Biohub, which aims to build a universal virtual cell model [9] - A recent paper outlines a new paradigm combining AI with large-scale causal experiments to transition immunology from descriptive to predictive science, aiming to create a "virtual immune system" [12][13] Future Goals and Aspirations - The ultimate goal of the "virtual immune system" is to not only predict immune behavior but also to construct a unified conceptual model akin to the "standard model" in physics, facilitating proactive health interventions [18] - Priscilla Chan emphasizes the urgency of advancing CZI's goals, expressing hope that AI can reveal pathways for developing new drugs, highlighting the belief in the possibility of achieving seemingly impossible objectives [18]