After reading the article in JAMA https://jamanetwork.com/journals/jama/fullarticle/2761044, I approached the coronavirus treatment problem with "data science" (Natural Language Processing). Instead of looking for cures, I looked for symptoms to find a disease similar to COVID-19, applying natural language processing.

After entering the symptoms, my study reveals the NTM (Pulmonary nontuberculous mycobacterial) disease. NTM is a relatively rare disorder and therefore, I assume that many medical practitioners do not immediately draw this analogy.

NTM reveals almost the same symptoms as compared to later-stage symptoms after a coronavirus infection (including ground-glass opacities on CT scans).

Even if it is not 100% analog, maybe the treatments that cure NTM also cure COVID-19 (e. g. rifamycin, rifabutin, rifampin). Therefore I have included a link with treatment options for the NTM disease.

https://www.atsjournals.org/doi/full/10.1164/rccm.200604-571ST

BTW: It would take me some time to prepare these findings for a journal contribution. Therefore, I want to discuss it here in advance.

Any feedback is welcome!

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