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Steve Hsu Q&A: Complex trait prediction in Genomics, and Genomic Prediction / Embryo Selection

Steve Hsu Q&A: Complex trait prediction in Genomics, and Genomic Prediction / Embryo Selection

Steve answers questions about recent progress in AI/ML prediction of complex traits from DNA and applications in embryo selection.

Manifold

February 3, 20221h 9m

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Show Notes

Steve answers questions about recent progress in AI/ML prediction of complex traits from DNA and applications in embryo selection.


Highlights:

  1. Overview of recent advances in trait prediction
  2. Would cost savings from breast cancer early detection pay for genotyping of all women?
  3. How does IVF work? Economics of embryo selection
  4. Whole embryo genotyping increases IVF success rates (pregnancy per transfer) significantly
  5. Future predictions

Some relevant scientific papers:

Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.

Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon.

Hsu is a startup founder (SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU.

Please send any questions or suggestions to [email protected] or Steve on Twitter @hsu_steve.

You can find Steve's writing on his blog Information Processing.

ManifoldOne YouTube channel.

Topics

AIMLArtificial IntelligenceMachine Learningembryo selectionGenomic Predictiongenetic testinggeneticsSteve HsuManifoldManifoldOneManifold One