<transcript><audio_6>that I I did a few years ago was I was doing some work in the UK and I came back and I co-founded a company that was a marketplace for equipment leasing and I wasn't terribly interesting but after</transcript><transcript><audio_7>a few years I was able to sell my shears in it and had a little bit of you know money lying around and that gave me some breathing room and that I didn't need to figure out what I was going to do next for a little while and I started working on kind of some interesting problems and</transcript><transcript><audio_8>one of the problems that I found that was very interesting is prostate cancer diagnosis because of all the major forms of cancer diagnosis it's the one with the lowest accuracy rate when human</transcript><transcript><audio_9>beings attempt to diagnose it skilled pathologists have about a 70% accuracy rate in in diagnosing prostate cancer and I had this idea well what if I looked at the the an RNA microarray which gave me the</transcript><transcript><audio_10>gene expression values for all the genes in the sample could I run that through a machine learning algorithm and predict the likelihood of cancer nearby not</transcript> that I I did a few years ago was I was doing some work in the UK and I came back and I co-founded a company that was a marketplace for equipment leasing and I wasn't terribly interesting but after a few years I was able to sell my shears in it and had a little bit of you know money lying around and that gave me some breathing room and that I didn't need to figure out what I was going to do next for a little while and I started working on kind of some interesting problems and one of the problems that I found that was very interesting is prostate cancer diagnosis because of all the major forms of cancer diagnosis it's the one with the lowest accuracy rate when human beings attempt to diagnose it skilled pathologists have about a 70% accuracy rate in in diagnosing prostate cancer and I had this idea well what if I looked at the the an RNA microarray which gave me the gene expression values for all the genes in the sample could I run that through a machine learning algorithm and predict the likelihood of cancer nearby not
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