AI Revolution Meets 4D Cellular Physiology

AI is emerging as an essential tool for the biological data explosion, now seen at the molecular single cell-level, tissue-level, and organism-level. By enabling the integration of large-scale quantitative cell data across multiple modalities, AI offers new possibilities for answering longstanding biological questions in 4D cellular physiology, such as how cells convert from one type to another, how different cell types organize into tissue architectures, and how cell state transitions are precisely controlled.

This meeting will gather current and future leaders in cellular physiology and AI for a deep discussion at this inflection point of both fields. What problems are ripe for this emerging intersection of AI and cellular physiology? Where are the challenges? We will hear about current efforts in AI-based technologies for unravelling spatial and functional organizations of genomes and dynamic cell architectures. We will reflect upon pragmatic issues of generating sufficient and reliable datasets that are amenable to AI. In addition to learning about technological AI innovations to drive new types of data generation and biological analysis, we will discuss what advances in AI may be needed to address cell biological questions. We anticipate that this timely meeting will stimulate new ideas, promote explorations, and catalyze new collaborations among the multidisciplinary group of attendees.

Learn more at bit.ly/4DCP25​