The irony is, we have tons of data differentiated by gender, ethnicity, height / weight; pulmonary conditions, issues to pulmonary as a result of surgery or accident and many other conditions. Perhaps it's ineffective blood / gas barrier exchange because of surfactant chemistries. The list is endless, Those with varying forms of COPD be it from smoking or chronic bronchitis. All these data points.
There are scores of universities that are constantly amassing all this data in aggregate. As for gender differences, yes, I'm aware of one ?PAP manufacture that has an "FDA" approved algorithm for "Women" because of "blah". Honestly, I don't know all the nuts and bolts to what or how it does it.
I'm just suggesting all this amassed, aggregate data pertaining to various pulmonary conditions, in conjunction with the data from some of these data recording machines, might be used to produce machines that more quickly detect the various forms of obstruction and react in real-time to address the problem for the patient on the fly without their knowledge.
Yeah, Yeah, Yeah, I know, It's a lot of data to consider, analyze, derivate into algorithms to be stuffed into machines for our benefit... but it boils down to a simiple matter of programming once all the conditions can be seen..