AI Medical Compendium

Neural network-assisted RNA velocity imputation for empowering transcript dynamics-based analyses.

iScience Feb 5, 2026

Existing RNA velocity estimation tools often fail to calculate velocities for a substantial portion of genes due to technical limitations or model assumptions, thereby restricting downstream analyses that rely on velocity estimations. To tackle this ... read more

CT-based radiomics for predicting PD-L1 expression status in non-small cell lung cancer using a hybrid machine learning model.

Clinical imaging Feb 5, 2026

PURPOSE: Programmed cell death ligand-1 (PD-L1) is a key prognostic and predictive biomarker for immunotherapy in non-small cell lung cancer (NSCLC). This study aimed to develop a machine-learning model using CT-based radiomic features to predict PD-... read more

Transforming food authenticity testing by the exploitation of a machine learning - Data fusion approach: a tea case study.

Food chemistry Feb 5, 2026

The growing vulnerability of the global food supply chain highlights the need for rapid, accurate, and non-destructive authenticity testing. In this study, we developed and validated a workflow integrating Fourier-transform infrared, near-infrared, a... read more

Deep learning for estimating right ventricular function from routine coronary angiography.

European heart journal. Digital health Feb 5, 2026

AIMS: Coronary angiography might contain clinically relevant information, beyond its traditional role in delineating coronary artery disease. We sought to explore the role of deep learning (DL) in detecting right ventricular dysfunction from routinel... read more

Machine learning modeling for predicting growth dynamics of Listeria monocytogenes using ComBase database: A comprehensive feature engineering approach.

Food research international (Ottawa, Ont.) Feb 5, 2026

Traditional mechanistic models for Listeria monocytogenes prediction face limitations in capturing synergistic environmental interactions and nonlinear stress responses. The objective of this study is to develop a machine learning framework that addr... read more

Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification.

iScience Feb 5, 2026

Joint classification of hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data has attracted increasing attention in remote sensing. However, effective multimodal fusion and robust feature modeling remain challenging due to data het... read more

Harnessing artificial intelligence to capture online mental health stigma: A scoping review.

Psychiatry research Feb 5, 2026

BACKGROUND: Mental health stigma remains a major barrier to care and is increasingly expressed online. Artificial intelligence (AI) may offer scalable ways to detect and analyze stigma, providing insights that could inform stigma-reduction strategies... read more

Structure over color: Diagnostic information in H&E images resides primarily in grayscale.

Journal of pathology informatics Feb 5, 2026

Color is a defining feature of hematoxylin and eosin (H&E)-stained histological sections; however, the extent to which diagnostic interpretation depends on color rather than grayscale-defined structure remains uncertain. We utilized systematic digita... read more

When distress meets technology: The mediating role of AI integration in the link between nurses' moral distress and moral integrity in critical care settings.

Applied nursing research : ANR Feb 5, 2026

BACKGROUND: Moral distress is increasingly recognized as a critical challenge in critical care settings, where nurses frequently encounter ethically complex situations that can undermine their moral integrity. With the growing adoption of artificial ... read more

Classification of DNA secondary structures by combining multiple spectral techniques with machine learning.

Analytica chimica acta Feb 5, 2026

BACKGROUND: The identification of structural features is an essential prerequisite for the determination of DNA secondary structures and investigating structural formation mechanisms. Circular dichroism (CD) spectroscopy, fluorescence (FL) spectrosco... read more

Artificial Intelligence Medical Compendium