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1 - 1 of 1 results for: CS 17SI: Frontiers in Reproductive Technology

CS 17SI: Frontiers in Reproductive Technology

In the last decade, there have been two intersecting trends of major significance to human reproduction. On the one hand, the rapidly declining cost of sequencing human genomes has enabled an explosion of information about polygenic complex diseases as reported in ever larger GWA studies. In parallel, new (statistical, computational, and wetlab) techniques in single cell sequencing technology have emerged that enable high resolution sequence information in ever smaller sample sizes - including embryos. It is now technically and financially feasible to rank-order preimplantation embryos according to polygenic disease risk. This course brings together experts from the computer science, statistical, wet lab, and clinical domains to discuss opportunities to reduce the risk of disease in human embryos, and expand access to IVF to a broader population. Prerequisites: A desire to develop (and deploy) technology in the fertility space. Either: (1) a strong programming and/or math background or (2) a strong biology/clinical background.
Terms: Spr | Units: 2
Instructors: Altman, R. (PI)
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