Please provide your email address to receive an email when new articles are posted on . Clinicians should screen for violence in pregnant or postpartum women and women of reproductive age. Health care ...
For decades, U.S. states have fought male violence against spouses and partners on two fronts: with mandatory arrests and prosecutions, and through programs focused on reeducating men about their ...
A newly developed machine learning model may be able to predict intimate partner violence in patients before they seek help.
A new study says domestic violence cases are less likely to end in homicide. Here's why that finding is more unsettling than ...
Victims of intimate partner violence with suicidal behavior have characteristic injury patterns on medical imaging, according to a study presented at the annual meeting of the Radiological Society of ...
Picture a patient filling out a pre-visit questionnaire on the social determinants of health before seeing their doctor. Some of the questions ask if their partner has been abusive toward them. The ...
Earlier this month, President Biden issued an Executive Order that focused on advancing women’s health and closing health disparities. Just in time for Women’s History Month, the Order brought ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning ...
The largest brain autopsy study of women who had experienced intimate partner violence reveals substantial vascular and white matter damage in the brain, but no evidence of chronic traumatic ...
The crisis of campus sexual violence can't be solved without addressing other populations that are at surprisingly high risk.
Doctors at Mass General Brigham published a study on Friday showing that artificial intelligence tools can help predict intimate partner violence.
Lynn Addington serves as a consultant with the Animal Welfare Institute's Center for the Study of NIBRS Animal Cruelty Data. Nearly two-thirds of U.S. households have at least one pet, and almost all ...