Genetic score advances personalized treatment strategies with promising AML drug
UF Health researchers have developed a genetic score to predict patient outcomes with a promising targeted drug treatment.
UF Health researchers have developed a genetic score to predict patient outcomes with a promising targeted drug treatment.
The preliminary findings indicate that the technique could allow physicians to assess patients’ tumor burden without invasive tumor biopsies.
Researchers developed a new method to evaluate how immunotherapy treatment kills tumor cells.
Researchers identify factors that may predict anxiety/depression symptom trajectories in brain tumor patients.
UF Health Cancer Center researchers created an intervention that connected UF Health cancer patients with telehealth financial counseling.
A multi-gene metric known as ACS10 revealed a close link between genetic factors and racial disparities in pediatric AML outcomes.
UF Health researchers have deployed AI to refine and accelerate the evaluation of a common type of brain tumor.
The discovery offers potentially easier ways to study and manufacture complex natural chemicals, including those that could become medicines.
The study suggests that erasing an abundant modification on certain types of RNA may be a way to therapeutically target lung cancer.
The UF Health Cancer Center has expanded its research programs to strengthen the impact of cancer research and facilitate clinical translation of discoveries.