Ultrasound localization microscopy (ULM) can overcome the diffraction limit but lacks generalizable imaging reconstruction and biomarker quantification pipelines. We developed U-VBA, integrating motion correction, cascaded denoising (singular value decomposition, high-pass filtering, and background subtraction), and a panel of 6 vascular biomarkers (density, intervessel distance, diameter, velocity, perfusion, and tortuosity). Performance was validated in various settings, including flow phantoms, chicken chorioallantoic membranes, rabbit optic nerve injury models, and a clinical patient cohort with cervical lymph node tumors.

This NHANES 2011–2018 cross-sectional study of 4,847 participants found that higher DXA-derived vFMI was associated with a higher prevalence of diabetes and some vascular-related outcomes. Log-transformed vFMI showed threshold patterns for diabetes and diabetic nephropathy.

The findings support further evaluation of vFMI in risk research, but they do not establish that visceral fat causes diabetes or complications and cannot replace clinical diagnosis.

A new satellite-mapping framework provides the first 10-meter, Ramsar-aligned view of wetlands across 43 accredited cities. 

A framework combines hyperspectral imagery, the Google Satellite Embedding dataset (GSED), environmental DNA (eDNA), and machine learning to predict fish taxonomic richness. 

A satellite-data fusion algorithm maps atmospheric aerosols in three dimensions beyond narrow lidar tracks.