It is no secret that the advancements in technology are constantly transforming the world. With artificial intelligence (AI) and machine learning (ML) now on a roll, these superior technologies are revolutionizing the realm of data computing. From diagnostic assays and data analytics to drug discovery and development, the application of AI and ML has brought forth an analogous transformation in the biotech arena. These diagnostic assays are developed and updated only during a significant paradigm shift, inducing a significant time gap and missing out on countless opportunities to refine the results of previous diagnoses. Machine learning coupled with AI bridges this time gap by leveraging advanced data computations to run accurate digitized diagnostic tests, allowing the algorithm to determine and embed the required features into the final result.