This approach is inherently different from most traditionally-funded biomedical research:
- There is no precedent for some of these problems. In many cases you cannot build off of something else to address them. These are typically not incremental problems.
- Gaining traction against these problems often requires developing new algorithms, new technology, and dedicated infrastructure. These are typically technically and technologically demanding problems.
- The metrics of success diverge from the current NIH-based granting model. They will require faculty and external collaborators who are at the interface of several fields. They will require interdisciplinary teams. These are, without exception, team-based problems on a different scope and timescale from standard R01 grants.
Solving problems of this kind requires an institute organized to think and act differently.
MSIT is neither a pure discovery organization, nor a pure application organization. The Institute sits at the intersection of these two areas and seeks to drive technology development by using the tension created at this intersection to drive innovation.
- Solve critical open biomedical problems by increasing innovative technology development through the convergence of biology, design, engineering, and entrepreneurship.
- Use problem-based learning to provide education and training relevant to technology development for students and faculty.
- Partner with industry, academia, foundations, and government for problem solving and education.
- Drive innovation, entrepreneurship, and technology development policy and research in order to shape the economic, legal, scientific, and public policy issues affecting biomedical innovation worldwide through the Center for Technology, Innovation, and Entrepreneurship (cTIE).
Primary Technology Categories
- Digital Health Technologies including mobile health, wireless health, Big Data, cloud computing, social networking, scientific computing, and scientific and clinical simulation
- Biologically Integrated Technologies including tissue engineering, sensors, microprocessors, robotics, mechatronics, MEMs, and microfluidics
- Prescription Technologies including drug repurposing, drug delivery, nanomedicine, and medical devices.