mQSAR - QSAR (Quantitative Structure-Activity Relationship) is a molecular analysis predictive approach used by        medical researchers. It helped in finding the COVID vaccine so quickly and has helped find cancer drugs and many others. mQSAR (multi-dimensional QSAR has been problematic in AI, one reason being the parameters are very complex. Functor models can handle complex parameters as the model learns by function changes, not the parameters. So it is promising that mQSAR will be feasible and we are working with QSAR manufacturers to help make this a reality. Once mQSAR is in place we could see progress in drug discovery. There are no guarantees of course, but estimates indicate this is possible.

Clinical Graph - for patients on a clinical trial who are hospitalized this assigns a micro function model to each patient and creates daily graphs of statistics available for that patient. More complex alerting scenarios as to combinatorics of patient vitals are easily supported. The researcher can now obtain a daily graph of vitals and other statistics rather than data points. Although subtle this can make a difference. The inherent "one-shot" learning makes it simple to integrate the model with a feed of instrument data so the model learns dynamically.