Assessing which embryos have the highest chance of successful implantation remains a major challenge in assisted reproduction. Current clinical practice relies heavily on morphological grading, which is subjective and often fails to accurately predict developmental potential. While metabolite analysis of embryo culture media offers...
Continuous glucose monitoring plays a central role in diabetes management, especially for patients with type 1 diabetes. Current systems typically rely on enzyme-based electrochemical sensors that measure glucose in interstitial fluid. A recent microfluidic study explores a different strategy by using living pancreatic islets...
Timely identification of infectious pathogens remains a major bottleneck in clinical care, particularly in conditions such as sepsis or complicated urinary tract infections where every hour of delay can worsen outcomes. Conventional diagnostics rely on culture-based workflows that often take days, struggle with low...
The development of an artificial intelligence-assisted wearable microfluidic colorimetric sensor system (AI-WMCS) is a notable advancement in non-invasive health monitoring. This cutting-edge system is designed for the rapid, simultaneous, and accurate detection of key biomarkers in human tears, addressing the need for precise and real-time...
In the realm of cardiovascular health, timely and accurate detection of biomarkers is crucial. Acute myocardial infarction (AMI), commonly known as a heart attack, is a life-threatening condition that necessitates prompt diagnosis. The biomarker cardiac troponin I (cTnI) plays a pivotal role in diagnosing AMI....