Explore more about: Cancer

Researchers have shown that an automated cancer diagnostic method, which pairs cutting-edge ultrasound techniques with artificial intelligence, can accurately diagnose thyroid cancer, of which there are more than 40,000 new cases every year.

Researchers at Carnegie Mellon University are developing lipid nanoparticles that are designed to carry mRNA specifically to the pancreas. Their study in mice could pave the way for novel therapies for intractable pancreatic diseases, such as diabetes and cancer.

Researchers are developing new MRI contrast agents that are activated in low oxygen environments enabling improved diagnosis and treatment of hypoxic tumors as well as other diseases.

Bioengineers from Columbia University are developing a pipeline to systematically evaluate how bacterial treatments might synergize with existing anti-cancer therapies in preclinical models.

NIBIB-funded researchers are developing a new method to treat pancreatic cancer. In their study, they combined an injectable radioactive gel with systemic chemotherapy in multiple mouse models of the disease. The treatment resulted in tumor regression in all evaluated models, an unprecedented result for this genetically diverse and aggressive type of cancer.

One team helped develop the first photon-counting detector (PCD)-CT system, which is superior to current CT technology. Another team has also been using artificial intelligence to lower the dose of radiation given to a patient when they are undergoing a conventional CT brain scan.

A research team developed a microscope that combines rapid high- and low-power light-sheet microscopy with an open top design that allows for rapid imaging of a wide range of sample types

Photoacoustic (PA) imaging is a non-ionizing imaging platform that combines light and ultrasound to safely image structures and molecules in the body. Researchers have now designed a nanoparticle-based PA contrast agent that targeted and significantly enhanced photoacoustic images of ovarian tumors in a mouse model.

NIBIB-funded researchers are developing a method to activate natural killer cells using an external magnetic field, which not only enhances their cytotoxicity, but allows them to be tracked using magnetic resonance imaging (MRI) to verify that they’ve reached their target.

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks. Researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging radiologist experts.