These developments can have disastrous unintended downstream consequences and can very easily lead to increasing stigma and under-treating pain. We cannot adequately predict future outcomes, even with genetic testing, and I don’t believe tools like this have significant validity. As noted on MedPage Today, the company which created the test, SOLVD, presented results of a single observational study that utilized machine learning as a predictive algorithm to the FDA which demonstrated a sensitivity of 82.76% and a specificity of 79.23% for detecting opioid use disorder. This level of specificity for what should be considered a critical clinical decision instrument would be considered unacceptable by most standards for predicting bad outcomes.
Predicting Sneaker Resell With Deep Learning
The night before the release of any sneaker, resellers and enthusiasts rejoice in online forums or chat groups discussing the potential resell of the…