Recently, Stanford University, Genentech, and the Chan-Zuckerberg Initiative jointly published an opinion article in the journal Cell, proposing the concept of developing the world's first virtual human cell using artificial intelligence (AI) technology.
This groundbreaking research was co-authored by Stanford University bioengineering professor Stephen Quake, computer science professor Jure Leskovec, Theofanis Karaletsos, the director of scientific AI at the Chan-Zuckerberg Initiative, and Aviv Regev, the executive vice president of research at Genentech.
Traditional cell models often fail to accurately simulate and model the complex functions and behaviors of cells, limiting the depth and breadth of research in the field of biology. Therefore, the research team proposed the concept of constructing an "Artificial Intelligence Virtual Cell" (AIVC) using AI and omics technologies. AIVC employs multi-scale and multi-modal modeling approaches, aiming to accelerate scientific discoveries, guide experimental research, and foster interdisciplinary collaboration, driving profound transformations in biological research.
It is reported that the development of virtual cells provides scientists with a new research tool, helping them better understand the mechanisms of health and disease. With the aid of AI technology, scientists can more accurately simulate and predict cell behavior, significantly enhancing the speed and efficiency of biological research, providing robust support for exploring disease mechanisms and developing new therapies.
With the advent of this virtual cell, the application of AI technology in the field of biology has ushered in unprecedented opportunities. This innovation not only advances cell research but also opens new pathways for scientists in disease treatment and health management.
Paper link:
https://linkinghub.elsevier.com/retrieve/pii/S0092867424013321
