Alidoust: Single-cell AI performance holds even after 99% data downsampling
Nima Alidoust · No Priors Ep. 103 | With Vevo Therapeutics and the Arc Institute · Feb 25, 2025 · at 8:10
Nima Alidoust, CEO of Vevo Therapeutics, argues that existing public single-cell datasets lack biological diversity and information content.
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“If you actually reduce the number of the sixty million, you down sample it by like, Even 99%. You know, you just use one percent of that data to train your models. Actually, the model's performance doesn't reduce that much. So it means that the information content of the models that you are actually, of the data you're using for training those models is not amazing.”
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