Excerpt from article on page 7 of the PDF Nutrition Business Journal—Machines Making Medicine

Machines Making Medicine with Susan C. Trapp PhD“No scientist actually can keep up with the [scientific] literature nowadays,” notes Susan Trapp, Ph.D., who recently joined the institute as an expert in molecular biology, genomics (including research on the Human Genome Project), and computational biology.

The latter is a scientific discipline that uses mathematical models to understand biological systems. AI and computational biology are merging, to the extent that the terms are sometimes used interchangeably when speaking about algorithms that ingest and analyze large datasets.

Take the example of echinacea, a popular dietary supplement that is marketed for a number of health conditions, using various parts of the plants, across a wide variety of formulations. An algorithm trained to sift through the scientific literature and other sources could quickly make predictions about optimal extractions for the kind of product desired.