Targeting Tumors, with Help from Data Science
Can a computer find cancer before an expert oncologist? New research suggests it can.
Training a Computer to Read Your Mammogram
More than 500,000 women worldwide die of breast cancer, a statistic that keeps Connie Lehman, MD, Chief of Breast Imaging at Massachusetts General Hospital (MGH) awake at night. Her desire to change the statistic, she says, requires accelerated innovation. “We have to think differently,” she says.
World Medical Innovation Forum to Examine the Clinical Realities of AI
How can the enormous potential of artificial intelligence (AI) be harnessed to improve clinical outcomes across conditions such as cancer, cardiovascular and neurological disease, and mental health and substance use? That is the question at the center of the World Medical Innovation Forum.
Maternity Care at the Brigham Recognized with Baby-Friendly Designation
At Brigham and Women’s Hospital, a new designation recognizes the hospital’s emphasis on evidence-based, patient-centered care and education as mothers make these choices and learn to feed their infants.
For Cancer Patients, Gaining Control Over Hair Loss Fosters Sense of Normalcy
For patients undergoing chemotherapy treatment for cancer, hair loss is one of the most common—and disruptive—side effects of the drugs, which concurrently impact hair follicle cells while targeting rapidly dividing cancer cells. In fact, it can deter patients from seeking treatment at all.
Preparing the Practitioners: Spreading Global Health Through Education
In global regions disrupted by war, poverty, and natural disaster, newborn survival is a challenge, with nearly all of childhood deaths occurring in the first 28 days of life. Preventing those deaths can be as simple as a bubble CPAP, an inexpensive device that delivers critical pressured air into the lungs of a struggling infant.