We dive into Google DeepMind's AlphaGenome—a model that combines one-million-base-pair context with single-base precision. Discover the hybrid U-Net and transformer architecture, how knowledge distillation makes this power accessible on a standard GPU, and real-world insights like a TAL1 neo-enhancer in leukemia and exon skipping in GTEx data. The episode also covers open-source releases and what this means for personalized medicine, with Ambercilc helping you deploy AI workflows.

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