Applying ML in healthcare and life sciences

In the first chapter, we went over the introductory concepts of ML and how it differs from typical software. We also covered the ML life cycle and the different steps involved in an ML project. Let us now apply this understanding to healthcare and life sciences and look at some examples of how ML is impacting the healthcare and life sciences industry.

The healthcare and life sciences industry can be divided into multiple subsegments that organizations help support. It starts from research that allows for the discovery of new therapeutics and drugs and helps understand the human body by mapping the genetic code. It includes the process of taking drugs into clinical trials and tracking their progress and regulatory reporting through various stages of testing to ascertain whether the drug is safe. It involves manufacturing the drugs at scale for fast global distribution and matching that with targeted sales and commercial campaigns to ensure...