Nature Machine Intelligence, Published online: 19 November 2025; doi:10.1038/s42256-025-01122-7
Diffusion models are reframed by developing a generative blood cell classifier that performs reliably in low-data regimes, adapts to domain shifts, detects anomalies with robustness and provides uncertainty estimates that surpass clinical expert benchmarks.
Nature Machine Intelligence, Published online: 19 November 2025; doi:10.1038/s42256-025-01122-7Diffusion models are reframed by developing a generative blood cell classifier that performs reliably in low-data regimes, adapts to domain shifts, detects anomalies with robustness and provides uncertainty estimates that surpass clinical expert benchmarks. Read More
