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Abt uses machine learning to do things that until recently would have been impossible, such as categorizing a vast amount of unstructured text into main themes or counting mosquito eggs from a smartphone picture using image recognition.

Be it outbreak, epidemic, or pandemic—human or zoonotic—the goal is to get reliable information on infectious diseases, quickly. Abt experts Laura Edwards and Sung-Woo Cho discuss strategies for harnessing machine learning and data visualization to provide actionable information—at scale—that can help stem a health crisis.

Primary care practices need to redesign the way they provide care to balance preventing opioid misuse and potential risks while addressing the needs of patients with chronic pain. The Agency for Healthcare Research and Quality (AHRQ) awarded Abt a…

The Regional Greenhouse Gas Initiative was launched to reduce carbon pollution in 10 states in the Northeast: Vermont, Rhode Island, New Hampshire, Maine, Delaware, Connecticut, Maryland, Massachusetts, New York and New Jersey.

A new Abt-developed webtool supports analysis of criminal justice expenditures and employment.

Abt’s evaluation found California’s Project Roomkey helped homeless Californians at COVID’s peak — and it could serve as an effective emergency housing model.