A new medical-diagnostic device made out of paper detects biomarkers and identifies diseases by performing electrochemical analyses -- powered only by the user's touch -- and reads out the color-coded test results, making it easy for non-experts to understand.
Harnessing the nano-tractor-beam like abilities of optical tweezers, researchers from the University of Melbourne, Australia, and Huazhong University of Science and Technology, China, developed an all-silicon nanoantenna to trap individual quantum dots suspended in a microfluidic chamber.
When bacteria develop antibiotic resistance, treatment with these medications becomes ineffective. Similarly, tumor cells can also change in such a way that renders them resistant to particular medications. This makes it vitally important for cancer patients and their doctors to determine as early as possible whether a specific therapy is working or not. A new blood test developed by researchers at the Technical University of Munich can predict drug resistance in patients with advanced prostate cancer.
In a new pair of papers, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) explore ways for computers to help doctors make better medical decisions.
More than 80 percent of women living with a history of breast or ovarian cancer at high-risk of having a gene mutation have never taken the test that can detect it.
A new approach to optical imaging makes it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue -- such as an organ or a small animal; technology that could have applications in medical diagnosis, guided surgery, or pre-clinical drug testing.
In this issue of JCI Insight, researchers at Cedars-Sinai Medical Center adapted a noninvasive retinal imaging approach to characterize amyloid-β deposition, the pathological hallmark of Alzheimer's disease, in the retinas of patients and healthy controls. This imaging enabled detection and quantification of amyloid-β, revealing increased deposits in Alzheimer's patients compared to controls. These results demonstrate the feasibility of this approach as a tool for earlier Alzheimer's diagnosis and intervention.
An international team of scientists, led by mathematicians from the University of Exeter's Living Systems Institute, have developed a ground-breaking new method that can identify regions of brain tissue most likely to generate seizures in people with epilepsy.
A new noninvasive approach that uses polarized light to make nerves stand out from other tissue could help surgeons avoid accidentally injuring nerves or assist them in identifying nerves in need of repair.
Simple odor identification tests may help track the progression of Alzheimer's disease before symptoms actually appear, particularly among those at risk.