Researchers from The Hong Kong Polytechnic University (PolyU) said they have used two-dimensional nanosheets (FePSe3) to develop a biomimetic nanosheet that can monitor tumor development, treat tumors and monitor the treatment progress in real-time. With positive results from mice, the team hopes to further test it on larger animals, then move on to clinical studies.
A German-American team of researchers has developed a compound that could affect latent herpes simplex virus (HSV) infections, reducing the risk of recurrence even after an infection had fully established itself in its neuronal reservoir.
At the 2021 virtual annual meeting of the American Society for Clinical Oncology (ASCO), results of the VISION trial testing the addition of Novartis AG’s radiopharmaceutical Lutetium-177-PSMA-617 (Lutetium-PSMA) to individualized standard-of-care regimens in metastatic castration-resistant prostate cancer improved both overall survival and radiographic progression-free survival.
A new 3D printing technique has allowed University of Nottingham researchers to tailor-make artificial body parts and other medical devices that are both implantable and bacteria-resistant. The multi-materials manufactured in the study were also adapted to 3D printing technology that is able to offer devices that can better meet the need of the patient and minimize the surgeries led by device failure that increase the risk of infections.
Sirtuins, which are a highly conserved family of NAD+-dependent deacetylases, have been shown to be involved in a wide range of physiological and pathological processes, including aging, energy responses to low calorie availability and stress resistance, as well as apoptosis and inflammation.
An international study led by scientists at Duke-NUS Medical School in Singapore has identified signaling for the cytokine IL-11 as representing a potential new therapeutic target for acetaminophen-induced liver injury in mouse models.
Researchers at the University of Washington reported in the May 31, 2021, issue of Nature Medicine that artificial intelligence (AI) algorithms meant to recognize COVID-19 infections based on chest X-rays picked up on confounders, selecting “shortcuts” such as patient age or positioning in the X-ray as a basis for their predictions.