Better Way to Deliver Fetal Therapy for Serious Genetic Disorders
Delivering medicine through amniotic fluid is as effective as delivering it to the fetal brain via cerebrospinal fluid to treat serious disordrs such as Angelman syndrome.
University of California San Francisco
Give to UCSFDelivering medicine through amniotic fluid is as effective as delivering it to the fetal brain via cerebrospinal fluid to treat serious disordrs such as Angelman syndrome.
Juvenile myelomonocytic leukemia (JMML) is a rare but aggressive childhood leukemia. While hematopoietic stem cell transplantation is curative for some patients, approximately half of all patients see
Artificial intelligence could potentially help extract liver tumor data at a much faster and accurate rate, setting possibilities for improved liver cancer care.
UCSF scientists may have discovered a new way to test for autism by measuring how children’s eyes move when they turn their heads.
Daily cannabis smokers have a 25% increased risk of heart attack and a 42% increased risk of stroke compared to non-users.
Tracey Woodruff, PhD, MPH, offers insights on what her research on microplastics has led her to change how she and her family eats and what cleaning products she uses.
UCSF and a host of local volunteers celebrated the planting of 42 new trees on neighborhood streets surrounding the historic Parnassus Heights campus – kicking off a plan to renovate UCSF’s original home with updated research, education and health care facilities.
The new UCSF Health-John Muir Health Jean and Ken Hofmann Cancer Center at the Behring will bring a full spectrum of leading-edge cancer care close to home for people in the East Bay and surrounding areas.
Join Kelechi Okpara as she navigates through her whirlwind first day as a new medical resident at the UCSF Parnassus campus.
UCSF is home to the first center in the world focused on patients with COL4A1/2 mutations, which can cause the rare disease Gould Syndrome.
UCSF will launch the world’s first tissue bank with samples donated by patients with long COVID.
UCSF scientists found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. Conditions that most influenced prediction of Alzheimer’s were high cholesterol and, for women, osteoporosis.