Detecting single point mutations, such as PIK3CA mutations, is vital for precision diagnostics but remains challenging due to subtle sequence differences. This study introduces a machine learning-assisted colorimetric biosensor that utilizes DNA-temp...
The application of in vitro diagnostic biosensors for early cancer detection remains challenging due to the insufficient representation by a few molecular biomarkers. Digital biomarkers promise comprehensive disease phenotyping but face constraints o...
Flexible pressure sensors are pivotal for e-skin, artificial intelligence interactions, and personalized medicine. Nevertheless, integrating high sensitivity, a broad detection range, and biodegradability remains difficult. Herein, we developed a fle...
Accurate sensing of biomolecular targets is crucial for diagnosing diseases and developing technologies for personalized medicine. However, measuring biomarker levels with high precision is often challenging due to signal drift caused by biofouling a...
Clinica chimica acta; international journal of clinical chemistry
Sep 15, 2025
Integrating nanotechnology and artificial intelligence (AI) revolutionizes cancer diagnostics, propelling precision medicine into a transformative era. This review examines state-of-the-art nanobiosensors capable of detecting critical biomarkers-circ...
The preservation of microbial quality in meat products represents a fundamental challenge in contemporary food supply chain management due to the highly perishable nature of these commodities. Although modern testing techniques, particularly electron...
The sensitive detection of drug molecules in complex biological samples presents significant challenges, including weak signal intensity, strong matrix interference, and inefficient access of molecules to SERS hotspots. To address these issues, this ...
Simultaneous monitoring of dopamine (DA) and serotonin (SER) in urine offers a non-invasive route for diagnosing neurological, psychiatric, and metabolic disorders. However, their multiplexed detection at the point-of-care remains challenging due to ...
Sweat, a biofluid rich in various biomarkers, offers significant potential for non-invasive health monitoring and disease screening. Colorimetric detection is well-suited for multi-analyte quantification and point-of-care testing in sweat analysis, w...
Wearable biosensors represent a significant advancement in preventive health monitoring by enabling early disease detection through real-time bioanalysis. This review examines the evolution of point-of-care testing (POCT), with a focus on materials, ...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.