Not that surprising. AI learning seems to do best with fairly predictable systems, and when it comes to individual outcomes in medicine, there's a lot of myster

Not that surprising. AI learning seems to do best with fairly predictable systems, and when it comes to individual outcomes in medicine, there's a lot of mystery involved. A group of people with similar genetic makeup and exposure history to carcinogens or pathogens won't all respond identically - some get persistent cancers, some get nasty infections, and some don't. For example, training an AI on historical tidal data would likely lead to very good future tide timing and height predictions, without any explicit mechanistic model needed. Tides have high predictability and relatively low variability (things like unusual wind patterns accounting for most of that). In contrast, there are some current efforts to forecast earthquakes by training an AI on historical seismograph data, but whether or not these will be of much use is similarly questionable. https://sciencetrends.com/ai-algorithms-being-used-to-improve-earthquake-forecasting/ https://sciencetrends.com/ai-algorithms-being-used-to-improv...