Regarding the black box, any Machine Learning gives you features ranked by their importance for your biological process of interest, i.e. you get the key players of the process. If you know the drivers of your biological process, you should understand quite a lot about the process, shouldn’t you? So I never understood why they call it a black box.
Some data scientists ransack data for patterns without being guided by theory or common sense. Indeed, they believe that thinking about a question limits the possibilities for knowledge discovery. Unfortunately, the data deluge has exploded the number of patterns that can be discovered, the vast majority of which are necessarily meaningless. The paradox of big data is that the more data we pillage for patterns, the more likely it is that what we find is worthless or worse.
Every artificial intelligence(AI) problem is a new universe of complexities and unique challenges. Very often, the most challenging aspects of solving an AI problem is not about finding a solution but understanding the problem itself. As paradoxically as that sounds, even the most experienced AI experts have been guilty of rushing i…
…hot ever. That’s because we’ve never had a technology that could actually give us the gift of time. A.I. would markedly augment human performance, doctor performance, clinician performance, and at the same time empower consumers and patients to take charge of their health.