[avs733]

My suspicion in reading the abstract and intro is that this is a translation issue. Inference informed by:

1) All the authors have South Korean institutional affiliations

2) "Detection of human biofluids such as blood, tears, saliva, sweat, and urine is important for clinical analysis of various physiological patterns" (First sentence, seems to be missing a word)

3) "differentiate patients from the normal group with high sensitivity and specificity" (abstract, patients and normal group is an odd way of phrasing this)

That being said...it had never occurred to me that nueral networks might be a useful way of interpreting spectroscopy data, that is a really cool insight

[survirtual]

Neural nets operating on mel sprectograms (spectrograms shifted to bias frequencies that are of interest to humans) have remarkable ability for audio classification and synthesis. It stands to reason it would not be difficult to adapt methods towards nearly anything which can be mapped to an image in a similar way. I don’t think its particularly novel in concept and kind of surprised it isn’t significantly further along.

I think we are at the technology level to really make medicine significantly more affordable and available, at the cost of many high paying doctor’s jobs. Same can be said for lawyers. These are powerful groups that will not take being automated lightly.