AI Medical Compendium

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

Enhanced mechanical and shielding properties of heavy concrete: A machine learning approach to mix proportion optimization.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Mar 24, 2026

Shielding concrete is a multifunctional material that combines structural support with radiation shielding, offering significant practical value. However, inherent functional conflicts between mechanical strength and radiation shielding performance r... read more

Chronic heart failure detection based on long-term RR interval dynamics.

Journal of electrocardiology Mar 24, 2026

Chronic heart failure (CHF) is a condition affecting millions worldwide, characterized by the heart's reduced ability to pump blood efficiently. Conventional diagnostics, such as imaging and ECG assessments, can be time-consuming and expensive, often... read more

Priority questions for the next decade of blue carbon science.

Nature ecology & evolution Mar 24, 2026

Blue carbon ecosystems, classically defined as mangroves, tidal marshes and seagrasses, but increasingly expanded to include ecosystems such as tidal flats, macroalgal forests and shelf sediments, contribute to climate change mitigation and biodivers... read more

DcSE: an improved densenet with enhanced attention fusion for super-enhancer prediction.

BMC genomics Mar 24, 2026

Integrated analysis of the gut mycobiota and plasma metabolome reveals mortality and age-specific characteristics in sepsis.

BMC microbiology Mar 24, 2026

Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI.

Biomedical engineering online Mar 24, 2026

BACKGROUND: Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from their intermediate counterpart, atypical cartilaginous tumors (ACT). Histologically, tumor distinction of these entities is limited by sampling bias, ... read more

Comparative evaluation of a deep learning method QNet and LCModel for MRS quantification on the cloud computing platform CloudBrain-MRS.

BMC medical imaging Mar 24, 2026

Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT.

BMC medical imaging Mar 24, 2026

PURPOSE: Timely and accurate diagnosis of anterior cruciate ligament (ACL) tears has important clinical significance. In this study we tried to establish a segmentation and diagnosis model for ACL tear using deep learning and radiomics based on knee ... read more

Development and internal validation of a machine learning-based model to predict 1-year all-cause mortality in patients with gastrointestinal bleeding with type 2 diabetes.

BMC medical informatics and decision making Mar 24, 2026

Artificial Intelligence Medical Compendium

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

Enhanced mechanical and shielding properties of heavy concrete: A machine learning approach to mix proportion optimization.

Chronic heart failure detection based on long-term RR interval dynamics.

Priority questions for the next decade of blue carbon science.

DcSE: an improved densenet with enhanced attention fusion for super-enhancer prediction.

Integrated analysis of the gut mycobiota and plasma metabolome reveals mortality and age-specific characteristics in sepsis.

Machine learning vs. radiomics for discriminating atypical cartilaginous tumors from benign enchondromas on MRI.

Comparative evaluation of a deep learning method QNet and LCModel for MRS quantification on the cloud computing platform CloudBrain-MRS.

Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT.

Development and internal validation of a machine learning-based model to predict 1-year all-cause mortality in patients with gastrointestinal bleeding with type 2 diabetes.

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