News & Announcements

Bracing for the Dr. Oz effect on health care.

The health insurance coverage for 3.5 million vulnerable New Jersey residents will be overseen by a cardiologist and former television personality known for promoting highly questionable cures, if President-elect Donald Trump gets his way. The incoming Republican...

Study Reveals How Cell Types Shape Human Brain Networks.

Rutgers researchers at the Brain Health Institute (BHI) and Center for Advanced Human Brain Imaging Research (CAHBIR) have uncovered how different types of brain cells work together to form large-scale functional networks in the human brain – interconnected systems...

New NJACTS Publication

Please read Dr. Deo's article in medRxiv titled, "Validation of an ICD-Code-Based Case Definition for Psychotic Illness Across Three Health Systems." Psychotic disorders typically have their onset during late adolescence or early adulthood, and are associated with...

Researchers Zero In On Genetic Variant Tied to Miscarriages.

In what could be a major advance in understanding the genetic causes underlying human infertility, scientists led by researchers from Rutgers University-New Brunswick have identified a gene variant directly tied to early miscarriages in women. The discovery of the...

2025 Toxicology Risk Assessment Bootcamp, January 13-14

Topics Covered: Risk analysis, systematic review, weight of evidence, hazard identification, susceptible populations, exposure pathways, point-of-departure, reference values, and more. Case studies and hands-on exercises will provide real-world scenarios for applying...

Tricking the Body into Replacing Lost Muscle.

Tricking the Body into Replacing Lost Muscle.

The human body can heal itself, but only up to a point. If an injury removes 20% or more of a muscle — as can happen in car accidents, certain surgeries or explosions in combat zones — natural processes can’t, on their own, replace it. Instead, the wound seals up,...

AI Algorithms Used in Healthcare Can Perpetuate Bias.

The AI algorithms increasingly used to treat and diagnose patients can have biases and blind spots that could impede healthcare for Black and Latinx patients, according to research co-authored by a Rutgers-Newark data scientist. Fay Cobb Payton, a Mathematics and...