05/26/2024

Diabetes

From the abstract: "Identifying biomarkers of functional ß-cell loss is an important step in the risk stratification of type 1 diabetes. Genetic risk scores (GRS), generated by profiling an array of single nucleotide polymorphisms, are a widely used type 1 diabetes risk-prediction tool. Type 1 diabetes screening studies have relied on a combination of biochemical (autoantibody) and GRS screening methodologies for identifying individuals at high-risk of type 1 diabetes. "

Cancer prevention

From the article: "In an era of big data and efficient computing, the development of complex risk models has become substantially easier than assessing whether, how, and in what context they are useful. The 1976 observation by George E P Box that “All models are wrong but some are useful remains equally true nearly 50 years later. Only time will tell whether the impressive advances since Box's observation in our ability to build risk models will ultimately prove useful for cancer prevention. "

Tuberculosis

From the abstract: "Targeted NGS is highly sensitive and specific for detecting drug resistance across panels of tuberculosis drugs and can be performed directly on clinical samples. There is a paucity of data on performance for some currently recommended drugs. The barriers preventing the use of targeted NGS to diagnose drug-resistant tuberculosis in high-burden countries need to be addressed. "