Oluwaseun Akinola is a Nigerian-born, United States-based chemist and environmental expert. He is currently doing his doctoral programme in environmental ...

Since 1982, ASPPH has supported the professional development of more than 2,100 recent public health graduates through fellowship and internship programs in partnership with CDC. Established in 1995, ...

Over the past five decades, IPV research has moved from being framed largely as a private or “domestic” matter to being recognized as a public health and ...

Over the course of the past four presidential administrations, the use of Medicaid 1115 waivers to address beneficiary health-related social needs has grown. At this time, twenty-five waiver projects ...

LOS CABOS, BAJA CALIFORNIA SUR, Mexico, March 10, 2026 /PRNewswire/ -- Longevity Medical Institute(R) today announced the launch of its AI-enhanced full-body MRI program, the first of its kind in Los ...

A study from community researchers partnering with Rutgers Health faculty and staff offers an in-depth look at the pregnancy, childbirth and postpartum experiences of women of color in New Jersey – ...

WashU leaders in dissemination and implementation science are translating health research into real-world practice to strengthen public health amid global strain.

ASPPH is leading national advocacy to ensure that public health degrees remain recognized and supported as professional under the Department of Education’s One Big Beautiful Bill Act (OBBBA) proposal.

AI use in federal health agencies has been garnering increasing interest due to its potential to expedite processes and improve efficiency.

Lexington - The Martin-Gatton College of Agriculture, Food and Environment and the UK College of Public Health (CPH) are using storytelling practice methods to help strengthen local ...

Abstract: Human pose estimation has emerged as one of the most prominent research directions in computer vision in recent years. This technology aims to acquire human pose information from images or ...

Outlier detection remains a key challenge in data analysis, with applications spanning cybersecurity, finance, medicine, and more. This paper introduces a comprehensive evaluation framework for ...