The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Histopathology is the gold standard in cancer diagnosis. However, attenuated total reflectance (ATR)-Fourier transform ...

A recent study published in Engineering introduces GlycoPro, a novel high-throughput sample-processing platform that aims to ...

Two review authors independently extracted data using a standardised form and assessed methodological quality using QUADAS-2 and QUADAS-C tools. We performed bivariate random-effects meta-analysis ...

Acute retinal necrosis (ARN) is a rare but severe ocular condition that often results in significant visual impairment or blindness. We aimed to determine whether ARN exhibits a distinct ...

TOPLINE: An artificial intelligence (AI) tool in mammography showed a high sensitivity and specificity, outperforming human readers in overall performance, a study found.

Drs. Fatemeh Ardeshir-Larijani and Mohamed Abazeed discuss a validated AI model that can predict how patients with advanced NSCLC will respond to immunotherapy.

In this paper, a hybrid PCA-based approach is proposed for predicting the respiratory imbalance in an urban health monitoring system. To do this, three models namely Random Forest, XGBoost, and ...

Objectives To evaluate the association between left atrial appendage volume (LAAV) and atrial fibrillation (AF) recurrence after catheter ablation (CA) and explore the potential mechanism. Design ...

Defects in software can cause various problems that are detrimental to many parties, from owners and developers to users. Predicting defects in software is one of the crucial factors that must be done ...

Cardiac amyloidosis (CA) is a progressive disease characterized by extracellular deposition of misfolded proteins, leading to myocardial dysfunction and poor prognosis. Early and accurate diagnosis ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...