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Why AI Still Falls Short at Decoding the Complexity of Human Genomes

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DNA within our cells is not merely a fixed set of instructions but a far more dynamic system. Scientists and AI models alike lack the data needed to fully interpret it. The piece argues that current AI tools are not yet ready to tackle the intricate, convoluted structure of the genome. The gap is attributed primarily to insufficient data rather than to the models' design alone. The article frames this as a current limitation that researchers must address before AI can meaningfully unlock genomic complexity.

Read the full story at WIRED

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