Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, including hard to diagnose liver and oral cancers. The new models could revolutionize how cancer is detected in primary care, and make it easier for patients to get treatment at much earlier stages.
Read more …New algorithms can help GPs predict which of their patients have undiagnosed cancer
A recent study found that six cardiometabolic risk groups previously identified in middle-aged individuals can also be applied to older adults without diabetes. Using data from the KORA F4/FF4 study of people aged 61 to 82, researchers identified clusters with varying risks of developing type 2 diabetes and related complications. One cluster, marked by high inflammatory load and insulin-resistant fatty liver, showed particularly high risk. The study highlights the importance of personalized risk assessment and early prevention strategies even in older age.
Read more …Risk groups for type 2 diabetes can also be identified at an older age
Surgical face masks help prevent the spread of airborne pathogens and therefore were ubiquitous during the COVID-19 pandemic. Now, a modified mask could also protect a wearer by detecting health conditions, including chronic kidney disease. Researchers incorporated a specialized breath sensor within the fabric of a face mask to detect metabolites associated with the disease. In initial tests, the sensor correctly identified people with the condition most of the time.
Read more …Specialized face mask can detect kidney disease with just your breath