The results of a large survey from a diverse patient population revealed cautious support for artificial intelligence (AI) ...

Early diagnosis is critical for improving cancer treatment outcomes. A research team led by Chair Professor Chen-Sheng Yeh of the Department of Chemistry at National Cheng Kung University (NCKU) has ...

Lateral flow tests have transformed global healthcare by enabling rapid disease detection and improving access to medical diagnostics. However, their widespread, single-use design is creating an ...

This is according to new insights published in Nature by an international team led by the University of California at San Diego (USA) and whose first signatory is Marcos Díaz Gay, head of the new ...

UC Davis Health’s first-of-its-kind total body scanner Explorer is being given yet another new assignment — assessing how cancer, neurodegenerative diseases and other systemic conditions, can affect ...

Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach ...

This is according to a presentation by Jeffrey Teuteberg, MD, at the Annual Meeting and Scientific Sessions of the International Society of Heart and Lung Transplantation (ISHLT). “We’ve had a bit of ...

Pancreatic cysts are fluid-filled sacs that can form in the pancreas. Some remain benign, while others have the potential to ...

Researchers in Nikolaus Rajewsky’s lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor’s cellular neighborhoods in 3D and identify potential targets ...

Dutch researchers have developed an AI tool that could transform how surgeons treat the most common form of cancer in the Netherlands: basal cell carcinoma. The system is designed to support Mohs ...

Amsterdam UMC-developed algorithm, based on the data of more than half a million patients, may soon offer GPs the chance to accelerate a diagnosis GPs may soon be able to identify patients with an ...