The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Deep brain stimulation—implants in the brain that act as a kind of "pacemaker"—has led to clinical improvements in half of the participants with treatment-resistant severe depression in an open-label ...

“I was constantly being told by my GP that it was in my head,” said Karen Tait The Brain Tumour Charity/Karen Tait / SWNS Karen Tait started experiencing severe symptoms in October 2022 that left her ...

1 in 4 sexually active women has used injectable birth control, administered into the muscle by a clinician, but many may be unaware of its association with meningioma, the most common brain tumor in ...

WESTWEGO, La. — Robin Phillip’s fresh haircut is dyed her favorite color — green. But beneath the dye job is a scar that runs along the side of her head, the result of two craniotomies. For years, ...

Abstract: Deep learning for classifying brain tumors has transformed medical image analysis, significantly improving upon manual detection techniques. Brain tumors are defined by aberrant cellular ...

Contraception is often used to prevent pregnancies and manage menstrual cycles—which is exactly why Sandra Somarakis, now 61, and Nicole Ryan, 60, chose it for over a decade. Both women opted for ...

Once in the brain, lung cancer cells can plug themselves into the electrical circuitry there and grow, a study of mice shows. The results, published September 10 in Nature, highlight the deep and ...

When Sergio and Andy rang the end-of-treatment bell together at Children's Hospital Los Angeles (CHLA) this past June, their care team filled the hall with cheers. For their mother Rosalba, it was a ...

Glioblastoma’s stealthy spread has met a new challenge: MRI-powered fluid flow mapping that reveals where the cancer is likely to invade next. The innovation is now being advanced by a spinoff company ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...