Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,981 to 4,990 of 204,028 articles

Instance-Wise Contrastive Graph Neural Network Enables the Discovery of Novel Aedes aegypti Larvicidal Compounds

bioRxiv
Aedes aegypti remains a major arboviral vector, making larval control a critical strategy to reduce mosquito populations. However, resistance to commercial larvicides has reduced the long-term effectiveness of current interventions, reinforcing the n... read more 

Freezing depth prediction of surrounding rock in seasonally frozen tunnels based on bayes-optimized XGBoost.

Scientific reports
During freeze-thaw cycles, frost heave forces induced by pore water phase transition in the surrounding rock of seasonally frozen tunnels act continuously on the lining structure, impairing its stability and service performance. The evolution of free... read more 

Deep learning-based CT-derived vertebral bone mineral density and metformin therapy: a longitudinal study in the Multi-Ethnic Study of Atherosclerosis.

Skeletal radiology
OBJECTIVE: Evidence on metformin's skeletal effects remains conflicting. We emulated a target trial to evaluate associations between metformin therapy and deep learning-based CT-derived vertebral bone mineral density (vBMD). We also assessed variatio... read more 

Machine learning for prediction and experimental validation of hydrochar characteristics via co-hydrothermal carbonization of sewage sludge and pomelo peel.

Bioresource technology
Optimizing the co-hydrothermal carbonization (co-HTC) of sludge and biomass requires understanding complex nonlinear relationships among feedstock characteristics, process parameters, and hydrochar properties. This study constructs an integrated mach... read more 

Neoadjuvant Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma: From Oncologic Outcomes to Response-Adaptive Treatment De-escalation.

Critical reviews in oncology/hematology
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are associated with poor 5-year survival and substantial treatment-related morbidity. Neoadjuvant immunotherapy (NIT) is emerging as a strategy to improve oncologic outcomes while enabling res... read more 

Machine learning models for reducing false positives in Fluorometric newborn screening of phenylketonuria: Development, validation, and clinical application.

Clinica chimica acta; international journal of clinical chemistry
BACKGROUND: Fluorometric newborn screening for phenylketonuria (PKU) is widely used but plagued by high false positives (FPs), leading to unnecessary follow-ups and parental anxiety. Machine learning (ML) models may optimize screening efficiency by r... read more 

Integrated analysis of mRNA, circRNA, and miRNA reveals a ceRNA network underlying growth rate differences in the longissimus dorsi muscle of Saba pigs.

Genomics
The growth rate of pigs is a key factor that determines production efficiency and economic benefits. Nevertheless, the regulatory mechanisms underlying growth rate differences within the same pig breed are poorly understood, particularly the roles of... read more 

Beyond clinical predictors: Determining the impact of psychosocial factors in chronic pain after spinal cord injury.

Archives of physical medicine and rehabilitation
UNLABELLED: ▒: Although chronic pain is common after traumatic SCI, prognostic models have traditionally prioritized clinical injury characteristics, and the relative contribution of sociodemographic and psychological factors remains under-characteri... read more 

Predicting risk of mental health deterioration using multimodal data from the UK biobank.

Journal of advanced research
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cognitive disorders. OBJECTIVES: We aimed to investigate both the associations and genetically informed rel... read more 

A secure encryption-steganography method for public images using symmetric keys without prior synchronization.

Scientific reports
Secure data transmission within digital images remains a critical challenge due to vulnerabilities to key interception and steganalysis attacks. Traditional steganographic schemes often require shared keys, pre-trained models, or prior coordination, ... read more