Radiology is the medical specialty directing medical imaging technologies to diagnose and sometimes treat diseases. Originally it was the aspect of medical science dealing with the medical use of electromagnetic energy emitted by X-ray machines or other such radiation devices for the purpose of obtaining visual information as part of medical imaging.
Surgeons often face the challenge of achieving precise tumor removal while preserving healthy tissue. Traditionally, they rely on their visual and tactile senses to determine where to make incisions.
A new 225Ac-DOTA-based pre-targeted radioimmunotherapy (PRIT) system has been shown to cure a highly lethal form of advanced intraperitoneal ovarian cancer in a preclinical setting with minimal side effects.
Researchers from University of British Columbia and Michigan State University have invented a system that can quickly and inexpensively detect airborne viruses using the same technology that enables high-speed trains.
An analysis of electronic medical records for more than 45,000 people found that COVID-19 infection was significantly associated with the development of high blood pressure, according to new research published today in Hypertension, an American Heart Association journal.
Researchers have developed methods to study and manipulate areas of the brain, though many of those methods are restricted by the limited depth that light can reach within the brain. A multidisciplinary team at Washington University in St. Louis plans to overcome that limitation by integrating ultrasound with genetics to precisely modify neurons in the brain.
For most of our tissues and cells, a lack of oxygen, or hypoxia, is bad news. Cancer cells, on the other hand, can thrive in these hypoxic conditions, which render tumors less susceptible to anti-cancer treatments, including radiation.
Calm body, calm mind, say the practitioners of mindfulness. A new study by researchers at Washington University School of Medicine in St. Louis indicates that the idea that the body and mind are inextricably intertwined is more than just an abstraction.
Beyond vaccines, mRNA offers immense potential to fight disease, but targeting the genetic material to specific diseased cells is challenging-; requiring a new method.
Using a self-built inverted microscope complete with laser optical tweezers to capture DNA, Yale Cancer Center and University of California Davis researchers for the first time created a visualization of the full-length human BRCA2 protein at the single molecule level.
Influenza viruses have an enormous impact in the U.S., with an estimated 25 million illnesses and 18,000 deaths in the 2022-23 flu season alone.
An artificial intelligence tool can accurately identify normal and abnormal chest X-rays in a clinical setting, according to a study published in Radiology, a journal of the Radiological Society of North America.
Shine a laser on a drop of blood, mucus, or wastewater, and the light reflecting back can be used to positively identify bacteria in the sample.
Using a specialized MRI sensor, MIT researchers have shown that they can detect light deep within tissues such as the brain.
Recent research discovered that bowel tumors can be classified into six clinically relevant subcategories based on patterns of gene interactions seen within tumor cells. The study was published in eLife.
A new imaging method has been designed and tested by scientists from Johns Hopkins Medicine.
A Johns Hopkins Medicine scientist who spent 30 years figuring out how to put chemical labels into cells to track their movement in living tissues has found that certain self-renewing stem cells have built-in tracers -; made out of sugars -; that can do the job without added chemical "labels" when injected into mouse brains.
An international team of scientists has used atlases of the human brain informed by genetics to identify hundreds of genomic loci. Loci is plural for locus, and in genetics indicates the physical location of a gene or variant on a chromosome.
The gold standard in functional brain imaging for over two decades, functional magnetic resonance imaging (fMRI) has transformed the landscape of research and clinical care. Yet, because of its cost and functional limitations, scientists have continued to look for new ways to see into the human brain.
Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and to find evidence of strokes on brain CT scans.
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans, according to a study published in the journal Radiology.