Topic List : Precision Health
Iron triggers lung transplant infection
Iron enables a common mold to take root in lung transplant recipients, according to Stanford researchers who led a study that offers a new perspective for understanding and treating these pulmonary infections.
Potential skin cancer treatment
Stanford researchers have learned how basal cell carcinoma evades drug treatment without mutating. The researchers found possible drug targets that may allow for more personalized treatment of this common skin cancer.
'Vaccine’ destroys tumors in mice
Activating T cells in tumors eliminated even distant metastases in mice, Stanford researchers found. Lymphoma patients are being recruited to test the technique in a clinical trial.
Broader use of acute-stroke therapy pays off
In a multicenter study led by Stanford researchers, the number of stroke patients who died or required confinement to nursing homes was nearly cut in half, the biggest improvement seen in any stroke-related trial to date.
Weight flux alters molecular profile
Stanford scientists have found links between changes in a person’s weight and shifts in their microbiome, immune system and cardiovascular system.
Moms’ blood sugar affects fetal heart
Elevated maternal blood sugar when the fetal heart is forming has been linked to a heightened risk for congenital heart defects, according to a new Stanford study.
Multiple food allergies treated safely
Combining an antibody drug, omalizumab, with a procedure to desensitize children to multiple food allergies is safe and effective, according to a new study by Stanford researchers.
Stanford to collaborate on Apple Heart Study
The study will make use of an app to determine whether the Apple Watch’s heart-rate sensor can help detect a heart condition known as atrial fibrillation.
Distinguishing features of high-value care
Two novel Stanford studies have uncovered attributes of high-quality, low-cost care for cancer and primary care patients.
Chest X-ray algorithm
Stanford researchers have developed a deep-learning algorithm that evaluates chest X-rays for signs of disease.