AI Medical Compendium

A hybrid adaptive preconditioned gradient method with momentum for deep learning.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2026

Deep neural networks are typically trained using stochastic optimization methods, which leverage approximate gradient information to update network parameters. While first-order optimizers are prevalent in this field, the potential of second-order gr... read more

Implications of cytokines in Memory B cell for risk stratification and therapeutic framework construction among Pediatric Influenza patents: insights from machine learning and multi-omics.

Computational biology and chemistry Feb 22, 2026

OBJECTIVE: Cytokine storm and dysregulation of Memory B cell aggravate the symptoms and weaken the therapeutic effectiveness for Pediatric Influenza(PI) patents. Hence, deeper understanding of Integration cytokines and memory B cell can pave the way ... read more

Explainable machine learning framework for the molecular classification of triple negative breast cancer.

Computer methods and programs in biomedicine Feb 22, 2026

BACKGROUND AND OBJECTIVE: The difference in molecular characteristics of Triple negative breast cancer (TNBC) aids in distinguishing between its four prominent subtypes- basal-like 1, basal-like 2, mesenchymal, and luminal androgen receptor. This stu... read more

Multi-granularity preference enhancement with hierarchical feature extraction for session-based recommendations.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2026

Session-based recommendation predicts the next item a user will interact with based on their short-term session behavior, typically without long-term user profiles. Existing approaches often fail to capture the hierarchical nature of user preferences... read more

Adoption of AI in nursing education- A systematic review of factors influencing student intentions.

Applied nursing research : ANR Feb 22, 2026

AIM: This study seeks to perform a systematic review of the literature on the factors influencing intention to use artificial intelligence (AI) applications among nursing students. This area of research has been increasingly investigated in recent ye... read more

Adaptive TFM imaging with multi-stage channel optimization for enhanced defect characterization in coarse-grained materials.

Ultrasonics Feb 22, 2026

Defect detection and characterization are among the primary objectives of ultrasonic non-destructive testing (NDT). However, due to ultrasonic attenuation and scattering noise caused by interactions of the ultrasonic waves with the grains, the inspec... read more

Machine learning and metabolic signatures of drowning: A pathway to uncovering cause of death in aquatic environments.

Forensic science international Feb 22, 2026

The postmortem diagnosis of drowning is challenging due to the nonspecific and transient nature of classical autopsy findings. This study aimed to investigate whether postmortem metabolomics can differentiate drowning from other causes of death, offe... read more

Prediction of adolescent internalizing disorder risk: Evidence from the Norwegian mother, father, and child cohort study.

Journal of affective disorders Feb 22, 2026

BACKGROUND: Internalizing disorders are among the most common psychiatric conditions in adolescence, often associated with long-term adverse outcomes. Early identification of at-risk youth is important for effective intervention, though it remains ch... read more

A novel framework integrating a coupled mixing rule with deep learning for toxicity prediction and environmental risk assessment of antibiotic mixtures.

Environmental research Feb 22, 2026

Co-exposure of multiple antibiotics in the environment is widespread, and accurate prediction of antibiotic mixture toxicity is essential for ecological risk assessment. However, existing models often lack adaptive selection of mixing rules and fail ... read more

How do children and adults anthropomorphize gendered or non-gendered robots and animals?

Acta psychologica Feb 22, 2026

In this study, we examined how gendered robots could affect adults' and children's social cognition toward robots. Specifically, we investigated whether adults (Study 1) and 7- and 9-year-old children (Study 2) would anthropomorphize a humanoid robot... read more

Artificial Intelligence Medical Compendium