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Image: Schematic illustration depicting MOF-encapsulated microneedle biosensing versus conventional blood draw-based diagnosis and monitoring of acute kidney injury. (Yixuan Wang et al.,  Advanced Materials, 2026. DOI: 10.1002/adma.74423)

Microneedle Patch Enables At-Home Monitoring of Acute Kidney Injury

A new microneedle patch with a specialized coating captures a key kidney injury marker. More...
27 Aug 2026
Image: Schematic illustration depicting MOF-encapsulated microneedle biosensing versus conventional blood draw-based diagnosis and monitoring of acute kidney injury. (Yixuan Wang et al.,  Advanced Materials, 2026. DOI: 10.1002/adma.74423)

Microneedle Patch Enables At-Home Monitoring of Acute Kidney Injury

A new microneedle patch with a specialized coating captures a key kidney injury marker. More...
27 Aug 2026
Image: New research shows incorporating AI-based risk assessment into routine clinical data could help identify bladder cancer at its earliest, most treatable stages (Image Credit: iStock)

AI Tool Predicts Bladder Cancer from Electronic Health Records

An AI approach using routine EHRs predicts bladder cancer up to 12 months earlier with 85% sensitivity and 91% specificity. More...
26 Aug 2026
Image Credit: Shutterstock

Smart Hospital Market Set for Strong Growth as Digital Healthcare Adoption Accelerates

New data forecast the smart hospital market to reach $246.17B by 2032 as AI, cloud, and IoMT enhance monitoring and workflows. More...
26 Aug 2026
Image: Conceptual overview of the evidential deep learning ensemble framework (Yassine Guennoun et al., npj Digital Medicine, 2026. DOI: 10.1038/s41746-026-02902-0)

Automated AI Tool Enables Uncertainty-Aware Meningioma Volume Tracking on MRI

An AI approach provides calibrated meningioma volumes and voxel-level uncertainty on MRI. More...
26 Aug 2026
Image: New research shows incorporating AI-based risk assessment into routine clinical data could help identify bladder cancer at its earliest, most treatable stages (Image Credit: iStock)

AI Tool Predicts Bladder Cancer from Electronic Health Records

An AI approach using routine EHRs predicts bladder cancer up to 12 months earlier with 85% sensitivity and 91% specificity. More...
26 Aug 2026
Image: Conceptual overview of the evidential deep learning ensemble framework (Yassine Guennoun et al., npj Digital Medicine, 2026. DOI: 10.1038/s41746-026-02902-0)

Automated AI Tool Enables Uncertainty-Aware Meningioma Volume Tracking on MRI

An AI approach provides calibrated meningioma volumes and voxel-level uncertainty on MRI. More...
25 Aug 2026
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