<transcript><audio_11>cancer in the cell you know sample and in order to do that what I discovered is well there aren't really any very many algorithms at the time that you can feed a vector of 25,000 values into so the big problem was well how do you deal</transcript><transcript><audio_12>with these kind of very very wide and very shallow datasets because the typical cancer study has about 20 cases in it but it has 25,000 inputs right serious problem when you look at</transcript><caption><image_13>The image shows a man standing in front of a large screen with the logo of Tua Financial on it. The man is wearing a blue jacket and appears to be giving a presentation. He is gesturing with his hands as he speaks. The screen behind him has the company's name and logo in purple and green colors. The background of the screen is white.</caption> cancer in the cell you know sample and in order to do that what I discovered is well there aren't really any very many algorithms at the time that you can feed a vector of 25,000 values into so the big problem was well how do you deal with these kind of very very wide and very shallow datasets because the typical cancer study has about 20 cases in it but it has 25,000 inputs right serious problem when you look at
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