Nanotechnology

First Engineering-Based Medical School Integrates Disciplines with an Eye to the Future

Simulation, Collaboration Emphasized at Carle Illinois Medical School

Published 6-5-2019

A two-year, $55 million renovation at the University of Illinois at Urbana-Champaign’s Everitt Laboratory has transformed the four-story, 136,763-sf building into the first engineering-based medical school in the country, with a focus on medical simulation, research, and instruction. With final completion in June 2018 and the first medical classes starting in July, the Carle Illinois Medical School’s state-of-the-art features enable bioengineering students and future medical professionals to engage in project/problem-based learning and maximize their medical training by using the latest simulation and virtual reality technology.

Engineering and Science Building (ESB)

Vanderbilt University

Published 10-18-2017

Vanderbilt University’s new Engineering and Science Building (ESB) brings the physical sciences and engineering together to expand interdisciplinary research in biomedical engineering, energy, and materials; recruit faculty in areas of nanotechnology and environmental engineering; and create a new undergraduate research-focused culture on campus.

Equipment-Driven Planning for Capital-Intensive Academic Research Facilities

UMass Amherst Uses Equipment List to Drive Phased Buildout of Core Labs

Published 9-13-2017

The University of Massachusetts Amherst (UMass Amherst) recently completed the construction and fit-out of their new Life Science Laboratories after receiving a $95 million grant from the Massachusetts Life Sciences Center (MLSC)—a quasi-state agency dedicated to growing the state’s life sciences industry. The new interdisciplinary research wing features state-of-the-art equipment and core resources that will be shared across multiple research teams and industry partnerships. While the new core labs were built into a pre-existing shell with an open floorplate and operational MEP, the final design was driven by the cost-intensive equipment list. Since the agency grant designated a specific amount of funding for the equipment, the type of equipment was known but exact model and vendor was not known before many of the other design and programming decisions were made.