3 ms·
Where deep learning will prevail in medical is in predictive medicine. When it finally becomes common to have personal genomic data available during checkups, t
by suifbwish 5y ago
Where deep learning will prevail in medical is in predictive medicine. When it finally becomes common to have personal genomic data available during checkups, the machine learning will be able to guess/order tests for individuals based on their age, specific genes they are carrying, known life age that diseases onset ect, diseases for that area. It will also be able to look across the population and detect statistical patterns in geographic incidences of diseases with environmental causes which occur outside of the normal expected distribution or in hotspots.
The important thing to remember about AI is you need reliable data to train it as well as reliable data to test it. If you don’t the FDA will not allow you to employ it medically.
- nradov 5y agoThat seems doubtful. Outside of a few limited, specific cases like the BRCA genes, that personalized medicine data has mostly turned out to be a disappointment and not actionable. Like if I find out that due to genetics my lifetime risk of rotator cuff injury is 25% compared to 21% for the general population then what am I supposed to do with that information?
- suifbwish 5y agoIt’s not a disappointment as we have not been able to fully try it out yet. Personalized medicine is in its embryonic infancy. Naysayers can say what they will but the medicine/therapy of the future will likely be completely personalized AI generated RNA retroviral/dendrasome delivered cocktails that are based on an AIs comprehension of your entire genome and epigenome. I’m talking the next 100 years. One major problem although beneficial at times, the FDA approval process inhibits the development and shipment of new solutions to medical disorders.