AI Medical Compendium

Global Perspectives on Artificial Intelligence in Orthopaedic Surgery: Findings from the 2025 ABC Travelling Fellowship Survey.

JB & JS open access Mar 24, 2026

BACKGROUND: Successful applications of artificial intelligence (AI) in healthcare have increased interest in how it could be integrated into orthopaedic surgery. However, orthopaedics surgeons' current use of AI and attitudes toward its incorporation... read more

Weekly Journal Scan: GRACE 3.0 redefines cardiovascular risk assessment and individualized care in non-ST-elevation acute coronary syndromes through machine learning.

European heart journal Mar 24, 2026

Bioinformatics and machine learning identify ITIH4 and ZC3H13 as novel mRNA biomarkers for major depressive disorder that promote microglial M1 polarization.

Cytotechnology Mar 24, 2026

UNLABELLED: Major depressive disorder (MDD), a prevalent mental illness, currently lacks reliable biomarkers and depends predominantly on subjective diagnostic criteria. Neuroinflammation, particularly microglial M1 polarization, plays a pivotal role... read more

The alteration of the brainstem functional connectivity in the first episode and drug-native generalized anxiety disorder and its transcriptional patterns.

Psychiatry research Mar 24, 2026

BACKGROUND: Although the brainstem abnormality has been reported in anxiety disorders, there is a scarcity of research targeting the brainstem's functional aberration in generalized anxiety disorder (GAD). The underlying transcriptional basis of brai... read more

DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction.

Journal of biomedical informatics Mar 24, 2026

Efficiently predicting drug synergy is crucial for developing personalized cancer combination therapy regimens. However, existing methods primarily focus on single-scale structural information and fail to explicitly model the interactions between mul... read more

Large-scale plasma proteomics for predicting future cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic syndrome stage 0-3.

Metabolism: clinical and experimental Mar 24, 2026

BACKGROUND: Identifying high-risk individuals for cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic (CKM) syndrome stage 0-3 can guide the implementation of targeted interventions. This study aimed to evalu... read more

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors.

Cancer letters Mar 24, 2026

It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their clinical outcomes. Using artificial intelligence (AI), in this multicenter cohort study of 623 PCa ... read more

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Experimental hematology Mar 24, 2026

Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating hereditary hematopoietic disorders, yet the efficient and safe delivery of gene-editing tools into HSCs remains a critical challenge. Lipid nanoparticles (LN... read more

Saliency-Aware Mutual Learning for enhanced retinal Image Quality Assessment in diabetic retinopathy diagnostics.

Experimental eye research Mar 24, 2026

In computer-assisted diagnostics, assessing the quality of retinal images, especially for DR, is vital. While current Image Quality Assessment (IQA) methods lean on Transfer Learning (TL), their adaptability to specific IQA demands, especially for DR... read more

Machine learning for mortality prediction using nutritional and inflammatory markers in critically ill patients.

Clinical nutrition ESPEN Mar 24, 2026

INTRODUCTION: Malnutrition and muscle loss are key determinants of outcomes in critically ill patients, yet conventional ICU mortality scores (e.g., APACHE II, SOFA) do not incorporate nutritional status. This study aimed to develop a machine learnin... read more

Artificial Intelligence Medical Compendium