Research

The research of Sharmila Majumdar, PhD, focuses on osteoarthritis, osteoporosis and lower back pain, particularly on quantitative musculoskeletal imaging image processing and artificial intelligence applied to the musculoskeletal system.

Thomas Link, MD, PhD's research is focused on degenerative diseases of the musculoskeletal system, in particular on osteoporosis and osteoarthritis.

Valentina Pedoia, PhD is a data scientist applying computer vision and machine learning techniques to MRI scans to study musculoskeletal disorders.

Scientists at UC San Francisco have just conducted the first-in-human Phase I study of CTT1057 in patients with localized and metastatic prostate cancer.

With complimentary backgrounds in basic and clinical neuroscience and a shared desire to ask (and answer) big questions, when Drs. Desikan and Sugrue met in the Neuroradiology fellowship training program at UCSF they quickly became both friends and research partners. Today as junior faculty in the Department of Radiology and Biomedical Imaging they jointly run the Laboratory for Precision Neuroimaging at UCSF.

Rahul Desikan, MD, PhD is now battling amyotrophic lateral sclerosis (ALS), one of the diseases that he studies. He and his wife shared their emotional story on Good Morning America.

Pneumothorax can be a life-threatening emergency. Researchers created an automated method of screening chest x-rays which can result in more rapid review and earlier treatment. Findings were published in PLOS Medicine.

Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer's disease, according to a study from UCSF Radiology researchers published in the journal Radiology.

Radiomics is an emerging discipline in radiology. Researchers set out to determine the benefit of using multi-modality radiomics data from PET and MR images in the characterization of breast cancer phenotype and prognosis.

Deep learning has become a powerful tool in radiology in recent years. Researchers at the UC San Francisco Department of Radiology and Biomedical Imaging have started using deep learning methods to characterize joint degeneration and osteoarthritis, which will ultimately reduce the number of total joint replacements.