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Image: The system integrates smartwatch signals with demographic and laboratory information to generate an insulin resistance risk prediction (photo courtesy of 123RF)

Smartwatch Signals and Blood Tests Team Up for Early Warning on Insulin Resistance

Combining smartwatch sensor data with routine blood tests can improve early detection of insulin resistance.  More...
25 Mar 2026
Graphical abstract (I. Garzón et al, Materials & Design (2025). DOI: 10.1016/j.matdes.2025.114703)

Fish Scale–Based Implants Offer New Approach to Corneal Repair

A bioengineered option made from fish scales that could support corneal repair and regeneration. More...
25 Mar 2026
Image: connected devices offer new possibilities in the early detection of abnormalities or changes in brain health (Photo courtesy of 123RF)

New AI Approach Monitors Brain Health Using Passive Wearable Data

Data from smartwatches and smartphones can help monitor changes in brain health. More...
24 Mar 2026
Graphical abstract (I. Garzón et al, Materials & Design (2025). DOI: 10.1016/j.matdes.2025.114703)

Fish Scale–Based Implants Offer New Approach to Corneal Repair

A bioengineered option made from fish scales that could support corneal repair and regeneration. More...
24 Mar 2026
Image: The flexible, sensor-embedded fabric is now being tested on cribs in the Pediatric Intensive Care Unit at Children\'s Healthcare of Atlanta\'s Arthur M. Blank Hospital (photo courtesy of Joya Chapman and Christopher McKenney/Georgia Institute of Technology)

Smart Fabric Technology Aims to Prevent Pressure Injuries in Hospital Care

A flexible, sensor-embedded fabric detects pressure injury risk and guides timely patient repositioning.  More...
24 Mar 2026
Image: Study procedure flow chart. After patients with BSI were identified from microbiology databases, 27 patients\' characteristics were extracted from electronic health records. After the dimension of those variables was reduced with Uniform Manifold Approximation and Projection (UMAP), k-means++ was used to identify clusters. Three clinically distinct clusters were identified. Among those clusters, patients were divided into solid organ transplant (SOT) and non-SOT groups. Clinical characteristics and outcomes were evaluated (Masayuki Nigo et al., American Journal of Transplantation (2026). DOI: 10.1016/j.ajt.2025.10.019)

AI Tool Maps Early Risk Patterns in Bloodstream Infections

An AI model classifies bloodstream infection patients into clinically meaningful groups within the first 48 hours after diagnosis. More...
24 Mar 2026
Image: The algorithm standardizes medication escalation and is embedded in the electronic health records (photo courtesy of 123RF)

Standardized Treatment Algorithm Improves Blood Pressure Control

A standardized, evidence-based protocol for hypertension management helps inform better treatment decisions. More...
23 Mar 2026
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