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UnknownClinical evaluation of AI-assisted screening for diabetic retinopathy in rural areas of midwest China.

Background

Although numerous studies have described the application of artificial intelligence (AI) in diabetic retinopathy (DR) screening among diabetic populations, studies among populations in rural areas are rare. The purpose of this study was to evaluate the application value of an AI-b...
S-EPMC9560484 | biostudies-literature
UnknownSOTIP is a versatile method for microenvironment modeling with spatial omics data.
The rapidly developing spatial omics generated datasets with diverse scales and modalities. However, most existing methods focus on modeling dynamics of single cells while ignore microenvironments (MEs). Here we present SOTIP (Spatial Omics mulTIPle-task analysis), a versatile method incorporating M...
S-EPMC9705407 | biostudies-literature
UnknownQuantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage.

Purpose

This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients.

Methods

This cohort study included patients arriving within 24 h of symptom onset...
S-EPMC12516230 | biostudies-literature
UnknownMicrobial diversity of ticks and a novel typhus group Rickettsia species (Rickettsiales bacterium Ac37b) in Inner Mongolia, China.
Ticks can carry multiple pathogens, and Inner Mongolia's animal husbandry provides excellent environmental conditions for ticks. This study characterized the microbiome of ticks from different geographical locations in Inner Mongolia; 905 Dermacentor nuttalli and 36 Ixodes persulcatus were collected...
S-EPMC10714680 | biostudies-literature
UnknownBenchmarking multi-slice integration and downstream applications in spatial transcriptomics data analysis.

Background

Spatial transcriptomics preserves spatial context of tissues while capturing gene expression. As the technology advances, researchers are increasingly generating data from multiple tissue sections, creating a growing demand for multi-slice integration methods. These methods aim to...
S-EPMC12477787 | biostudies-literature
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