The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

The emergency status allowed the federal government to cut through a mountain of red tape, with the goal of responding to the pandemic more efficiently.

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

The first transgender medical clinic opened in the US in the 1960s. But cisgender and intersex children began receiving similar treatments even earlier – often without their consent.

MIT engineers find specialized nanoparticles can quickly and inexpensively isolate proteins from a bioreactor.

The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.

MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.

President Joe Biden’s intention to end the national COVID-19 emergency will have long-lasting ripple effects on federal programs such as Medicare, Medicaid and the Children’s Health Insurance Program.

In a new book, “Risky Business,” Amy Finkelstein examines the core issue of the insurance industry: Who gets to be a customer?

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.