AI Medical Compendium

Disentangling Near-Road Emission Inequities in Hong Kong through Data-Driven Spatiotemporal Traffic Dynamics.

Environmental science & technology Mar 9, 2026

Traffic emissions contribute disproportionately to exposure inequities in dense cities. Delivery fleets and public buses can intensify these burdens in vulnerable communities, yet most assessments overlook such dynamics by aggregating fleets into bro... read more

PVA/AgNP hydrogel SERS substrate combined with machine learning for highly sensitive detection of organic selenium species.

Analytical methods : advancing methods and applications Mar 9, 2026

Accurate detection of organic selenium species in soil and water is essential for preserving ecological safety and protecting human health. The performance of a surface-enhanced Raman scattering (SERS) sensor is critically dependent on the structural... read more

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

ACS synthetic biology Mar 9, 2026

Biological research often involves complex, repetitive, and high-throughput manipulations that are well-suited to automation. However, current robotic systems generally excel only at narrowly defined tasks or standardized workflows and remain expensi... read more

Sociodemographic Risk Factors for Incomplete Routine Childhood Immunizations Among Children Born During the COVID-19 Pandemic, Louisiana, March 1, 2020-July 1, 2021.

Public health reports (Washington, D.C. : 1974) Mar 9, 2026

OBJECTIVE: Routine childhood vaccination rates declined nationwide among children born during 2020-2021 compared with prior birth cohorts. We identified sociodemographic risk factors associated with incomplete 7-vaccine series among children born dur... read more

Recent Research Progress on Two-Dimensional Organic Framework Materials for Electrocatalytic Carbon Dioxide Reduction Applications.

Small (Weinheim an der Bergstrasse, Germany) Mar 9, 2026

The electrocatalytic reduction of carbon dioxide represents a pivotal strategy for mitigating greenhouse gas emissions and producing value-added chemicals. Two-dimensional organic framework materials (e.g., 2D-MOFs and 2D-COFs) have emerged as promis... read more

High-Fidelity Data Retrieval from Synthetic DNA Pools via Machine Learning Model.

Small (Weinheim an der Bergstrasse, Germany) Mar 9, 2026

Synthetic DNA offers significant benefits, remarkable information density and long-term stability for data storage. The practical success of DNA data storage, however, depends on solving the challenge of selective retrieval-accessing specific data wi... read more

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

Journal of clinical nursing Mar 9, 2026

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern. Traditional prevention efforts face obstacles such as underreporting, delayed detection and limited... read more

Clinical Impact of Postrecanalization Hemorrhagic Transformation and Its Prediction Using Baseline Noncontrast CT.

Stroke Mar 9, 2026

BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern in acute ischemic stroke management. While severe hemorrhages clearly worsen outcomes, the prognostic impact of mild HT and its optimal prediction met... read more

How reliable is visual lameness scoring? Assessing human label variability for use in automated detection systems.

The Journal of dairy research Mar 9, 2026

Visual mobility scoring to detect lame dairy cattle can be subjective and inconsistent. This study assessed the reliability of visual mobility scores from multiple assessors, using different scoring methods (live vs. video) and experience levels to e... read more

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide-field images.

Acta ophthalmologica Mar 9, 2026

PURPOSE: Diabetic retinopathy (DR) is a leading cause of blindness in the working-age population. Screening is essential to identify and treat sight-threatening stages prior to irreversible visual loss. This study aimed to train and validate an autom... read more

Artificial Intelligence Medical Compendium