Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience. Spatial -omics methods are already improving our understanding of human tissues in research, diagnostic, and therapeutic settings.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Jun 27, 2022 |
| Journal | Genome Medicine |
| Authors | Cameron G. Williams, Hyun Jae Lee, Takahiro Asatsuma, Roser Vento‐Tormo, Ashraful Haque |
| DOI | 10.1186/s13073-022-01075-1 |
| Citations | 858 |
| Source | OpenAlex |