Research

Preventing Fractures and Degenerative Joint Disease Through Research

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

Applying Advanced Computer Vision and Machine Learning to Study Musculoskeletal Disorders and Osteoporosis

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

Results of Phase I of CTT1057 Human Clinical Trial for Prostate Cancer Now Published

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.

Advancing ALS Research with Dr. Rahul Desikan, Dr. Leo Sugrue and their Team in the Laboratory for Precision Neuroimaging

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 Talks About His Battle with ALS on ‘Good Morning America’

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.

Using Deep Learning for Pneumothorax Detection: Newly Published Research from UCSF Radiology

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.

A Deep Learning Model Predicts a Diagnosis of Alzheimer’s Disease Using 18F-FDG PET

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.

PET and MRI Radiomic Features Can Help Personalize Breast Cancer Diagnosis & Treatment

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 Attacks Joint Degeneration and Osteoarthritis: Musculoskeletal Imaging Research Published in ‘Radiology’

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.

Rahul Desikan, MD, PhD, Faculty Member and Friend, Is Living with ALS While Working Toward a Cure

Dr. Rahul Desikan's study of genetics and ALS research is groundbreaking. He is seeking funding for his research project that will help improve understanding of ALS, identify new therapeutic targets and find out ways to prevent this neurodegenerative disease.

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