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Sharing the Knowledge

Project ECHO is a collaborative model of medical education and care management that empowers clinicians by providing the mentoring they need to treat their patient’s complex conditions where they live.

How to Stop Others from Copying Your Invention

The Founding Fathers thought patents were an important part of the new country’s future—even as they were still working out basic issues such as how many branches of government were required in a democracy, and who was going to pay the bills run up during their War of Independence.

The Precise–and Wild–Genomics Revolution

Genomics has been applied to studying diseases spanning from depression to diabetes to high cholesterol. As Dr. Joel Diamond, chief medical officer for Genomics and Precision Medicine at Allscripts, says, “In the area of cardiology, we know that there are syndromes that cause heart arrhythmias or heart abnormalities that have a genomic basis. We know that there are variants of diabetes now—outside the typical Type I and Type II diabetes—that respond very, very [differently to treatments], and their complication rates are very different than what’s been traditionally thought of in diabetes that have the genetic variants of that.” Genomics, in many cases, provides the ability to see a condition through a new lens.

What Lies Within

In 1991, a group of Italian researchers announced that they had isolated a new antibiotic from a chemical soup brewed with a soil-dwelling bacteria called Planobispora rosea. The drug was a type of thiopeptide, effective against grampositive bacteria like Staphylococcus aureus, P. acnes, and C. difficile but uncooperative in terms of being harnessed for human medicines.

Knowing What You Eat

Food allergies and sensitivities have always been a public health problem but are becoming more prevalent worldwide. The U.S. Food and Drug Administration reports that millions of Americans have allergic reactions to food each year.

What Can Big Data Tell Us About Health?

“It is a capital mistake to theorize before one has data,” said Sherlock Holmes creator and author Arthur Conan Doyle in 1887. In this era of big data, and especially the crush of medical information becoming available through new technologies and bulging databases, Doyle’s quote could be updated to: “It is a capital mistake to theorize before one has data and understands what they mean.”

The Case for Big Data

Why do people start smoking in the first place? That is one of the many complex, interdisciplinary questions behind the Kavli HUMAN Project, a massive data-collection endeavor with the goal of learning how everything—from biology to behavior and environment—affects the human condition.