<caption><image_15>The image shows a man standing on a stage in front of a large screen with the logo of Tua Financial, a financial services company. The man is wearing a blue jacket and a face mask, and he is gesturing with his hands as he speaks. The screen behind him displays the company's logo in purple and green colors, with the word "Tua" in a larger font size than the rest of the text. The background of the screen is white, and there are people sitting in the audience, attentively listening to the presentation.</caption><transcript><audio_16>with samples of healthy tissue we could tell whether someone had cancer somewhere else in the prostate with a 98% accuracy but when I looked at monetizing that I realized well in the</transcript><transcript><audio_17>u.s. at least it takes about seven years and a hundred million dollars to get started with an FDA approval so I started looking at what what else could we apply this algorithm to that we could</transcript><transcript><audio_18>monetize and because I had worked a lot in credit and Finance it was just kind of natural well let's try this same approach instead of genomics let's try it on subprime credit and I found that lo and behold the same algorithm works</transcript><transcript><audio_19>and we'd already solved for twenty five thousand attributes so since we were didn't need to look at more than three thousand attributes in credit the heart problem was was solved so I implemented</transcript><transcript><audio_20>you know a a beta test with a lender in the States and there they were a deep subprime lender they they lent between 300 and $1,000 for six to ten months very high interest</transcript> with samples of healthy tissue we could tell whether someone had cancer somewhere else in the prostate with a 98% accuracy but when I looked at monetizing that I realized well in the u.s. at least it takes about seven years and a hundred million dollars to get started with an FDA approval so I started looking at what what else could we apply this algorithm to that we could monetize and because I had worked a lot in credit and Finance it was just kind of natural well let's try this same approach instead of genomics let's try it on subprime credit and I found that lo and behold the same algorithm works and we'd already solved for twenty five thousand attributes so since we were didn't need to look at more than three thousand attributes in credit the heart problem was was solved so I implemented you know a a beta test with a lender in the States and there they were a deep subprime lender they they lent between 300 and $1,000 for six to ten months very high interest
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