What is it?
Machine learning is a method of data analysis that automated analytical model building, according to SAS. This new method id being taught to engineering students at an early stage and is making great impact in the future of technology. Now, scientists Raul Fernandez Rojas, Xu Huang, and Ken-Liang Ou, are using machine learning to identify biomarkers of human pain using functional near-infrared spectroscopy. Since pain is very subjective to the person, there is no diagnosis to assess pain other than simply asking the person their rate of pain that is subjective to every single individual and their personal tolerance. The study proposes using this method of spectroscopy to identify biomarkers - measurable substances within humans - to measure pain.
Why does it matter?
When a patient speaks to a doctor, it is often up to the discretion of the doctor to decide whether treatment for pain is necessary based on the subjective anecdotal evidence self-reported by the patient. Finding a concrete way to measure pain would allow a more objective, valid, and reliable diagnosis to be given to the patient. Similarly to how patients can be told they have diabetes through the blood sugar content, triglyceride levels, and cholesterol in their bloodstream, pain would now be measurable on the same basis for all people.
Read more at https://www.nature.com/articles/s41598-019-42098-w
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