Drug Discovery for Mycobacterium Tuberculosis: An Experimental Analysis

The infectious disease of tuberculosis, caused by the causative organism Mycobacterium tuberculosis, has been one of the major reasons for human deaths globally. The concern continues because of the rising drug-resistant cases, longer duration along with severe side effects of conventional treatment, coinfection with HIV, and recently the addition of COVID-19. Machine learning is the dawn of a new era in the healthcare sector for the efficient diagnosis, early identification of drug-resistant incidences, discovery of new competent drugs, and hope for personalized medicine against tuberculosis. This review explores the employment of artificial intelligence and its applications for TB diagnosis, drug discovery, drug resistance identification, and also to differentiate Pulmonary TB from other pulmonary diseases so that the catastrophe of tuberculosis may be handled holistically.