AI Medical Compendium

Integrating artificial intelligence to enhance inclusive education for students with special needs in Jordan and the UAE: Perspectives of teachers and parents.

Acta psychologica Jan 18, 2026

This study examines the potential of integrating artificial intelligence (AI) into inclusive education practices in Jordan and the UAE, focusing on the perceptions of teachers and parents regarding its role in promoting inclusive classrooms. A mixed-... read more

Deformable Point Cloud Registration-Based Bidirectional Local Distance (DPCR-BLD): A Methodology for Systematic Evaluation and Visualization of Local Disagreements in Clinical Autocontouring.

International journal of radiation oncology, biology, physics Jan 18, 2026

PURPOSE: Variability in autosegmentation can arise from the training data, leading to disagreements with clinical practice. The anisotropic and localized nature of disagreements between 2 contours makes them challenging to evaluate using common metri... read more

OLink proteomic biomarker to predict clinical efficacy of Macaranga sinensis Müll.Arg: A nested case-control study.

Journal of ethnopharmacology Jan 18, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time, their clinical application is challenged by unclear active ingredients and poorly understood mechanisms of action, resulting in considerable heteroge... read more

Construction of musculoskeletal quantitative model based on deep learning and study of musculoskeletal relationship in patients with osteoporosis.

Journal of advanced research Jan 18, 2026

INTRODUCTION: Lumbar CT and MRI scans are helpful for osteoporosis (OP) screening. Deep learning enhances the efficiency and accuracy of musculoskeletal quantification for OP screening. OBJECTIVES: To develop a deep learning-based model (UNet3D) for ... read more

Controlling gene expression using AI designed Cis-regulatory elements.

Biotechnology advances Jan 18, 2026

Cis-regulatory elements (CREs) play a crucial role in regulating gene expression by controlling transcription, making the understanding and design of these elements essential for the advancement of biology. Traditional approaches often rely on empiri... read more

Machine learning based prediction of mechanical properties in carbon fiber recovered through pyrolysis.

Waste management (New York, N.Y.) Jan 18, 2026

The limitations of traditional pyrolysis technologies of recovered carbon fiber included long processing time, low efficiency, and unclear links between process parameters and performance. Moreover, pyrolysis alone formed residual coke on carbon fibe... read more

SERS-enabled immune monitoring: Decoding the tumor microenvironment for precision Cancer immunotherapy.

International immunopharmacology Jan 18, 2026

The tumor immune microenvironment (TME) is pivotal in regulating cancer initiation, progression, and therapeutic response. Despite major advances in immunotherapy, clinical outcomes remain limited by low response rates and unpredictable immune-relate... read more

Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.

Molecular brain Jan 18, 2026

Stroke, a result of acute cerebrovascular disease that causes cerebral dysfunction, often coexists with depression or even major depressive disorder (MDD). Despite the recognized significance of lipid metabolism disorders in both stroke and depressio... read more

Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research.

Journal of evidence-based social work (2019) Jan 18, 2026

PURPOSE: This study develops a systematic benchmarking framework for testing whether language models can accurately identify constructs of interest in child welfare records. The objective is to assess how different model sizes and architectures perfo... read more

Restraint Quality, Not Quantity, Predicts Peptide-Protein Docking Outcomes.

Journal of chemical information and modeling Jan 18, 2026

Understanding protein-peptide interactions is essential for uncovering cellular signaling mechanisms and advancing therapeutic development, as these interactions play central roles in numerous biological processes. Gaining structural insight into suc... read more

Artificial Intelligence Medical Compendium