Raymond Y. Huang, MD, Ph.D., of the Department of Radiology at Brigham and Women's Hospital, is the corresponding author of a ...

A paper published in the Journal of Clinical Oncology, titled "Comparative Analysis of Intracranial Response Assessment ...

Two anti-transferrin receptor (TfR) nanobodies, V H H123 specific for mouse TfR and V H H188 specific for human TfR (huTfR) were used to track transplants non-invasively by PET/CT in mouse models, ...

The thyroid gland's health can significantly impact metabolism and growth. Recognizing signs such as a persistent neck lump, ...

There is one work around that can make breast cancer visible to doctors, potentially saving your life by catching cancer ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

Despite recent therapeutic breakthroughs, cancer patients continue to face high recurrence and mortality rates due to treatment resistance. Cancer stem cells (CSCs), a subpopulation with self-renewal ...

Overall, PSMA-PET/CT detected distant metastasis in 84 of 182 cases (46%) that were negative by other types of imaging, ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

The accumulation of lipids in hepatocytes in nonalcoholic fatty liver disease (NAFLD) leads to an increase in reactive oxygen species and changes in the intracellular microenvironment, while ...

Through high-resolution imaging magnetic resonance images we can infer anatomical information and find out where abnormalities. This technique has a great ability to detect differences in tissue and ...

The MRI can often detect breast cancer cells that have spread to lymph nodes under the armpit. A mammogram, though, can detect calcification (calcium deposit markers at a tumor site) that can help ...