Remembering to take a pill once daily can be hard enough, but it gets particularly challenging when you have to take several doses throughout the day – especially if you’re taking multiple types of medication. To make things easier, scientists at the National University of Singapore (NUS) have developed a new technique that uses a 3D printer to combine multiple doses of different medications in a single time-release tablet.
A growth-driven and strategic executive, Peter Coffaro commands more than 20 years of progressive management success within the medical device industry. As a District Sales Manager for Stryker Orthopaedics, Peter was responsible for managing and directing a regional sales force to achieve sales and profit goals within the Rocky Mountain region. Previously, he was the Director of Sales & Marketing for Amp Orthopedics. In this role, Peter was responsible for planning, developing, and leading all sales and marketing initiatives. Peter is a former orthopedic distributor in the Pacific Northwest. He has also worked with DePuy Orthopaedics as well as Zimmer, and held positions in sales, sales training, and sales management. Peter has an extensive background in organizational development, business development, sales management, negotiating and P&L management. Peter holds a B.S. degree in Biology from Northern Illinois University.
If you’ve ever been hospitalized or visited someone in the hospital, then you know that patients can experience anxiety, uncertainty and boredom exacerbated by a radical change in living environment and loss of customary rights […]
How well do you know your doctor? With today’s primary care physicians juggling thousands of patients—the national average is 2,300—you’re lucky to get 15 minutes of face time at your annual checkup. That is, unless […]
Science – Doctors have lots of tools for predicting a patient’s health. But—as even they will tell you—they’re no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates. […]