According to @satyanadella, a new Cell publication introduces GigaTIME, an AI method that simulates spatial proteomics from routine pathology slides to enable population-scale analysis of tumor microenvironments across dozens of cancer types and hundreds of subtypes, source: Satya Nadella on X and Cell journal. The work was developed with Providence and the University of Washington and aims to speed links between genetic mutations, immune activity, and clinical outcomes in oncology research, source: Satya Nadella on X. Computational pathology and spatial proteomics pipelines commonly leverage GPU acceleration, underscoring relevance to AI infrastructure exposure in both public equities and digital asset narratives, source: NVIDIA Developer Blog on computational pathology GPU acceleration. In crypto, decentralized compute networks such as Render RNDR and Akash AKT state they provide GPU capacity for AI workloads, connecting AI compute demand narratives to listed AI tokens without indicating any involvement in this research, source: Render Network documentation and Akash Network documentation. The announcement makes no mention of cryptocurrencies, blockchains, or token integrations, source: Satya Nadella on X.