Artificial Intelligence Medical Compendium

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

Showing 48,681 to 48,690 of 224,513 articles

[Drug repositioning prediction based on dynamic feature learning on heterogeneous graphs].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVES: To address the challenges faced by existing artificial intelligence methods in modeling complex heterogeneous biological networks, particularly their limitations in capturing collaborative relationships between nodes and in extracting hig... read more 

Predictors and Perceptions of mHealth App Engagement in Older Adults: A Mixed-Methods Study on Nurse-Supported Interventions.

Journal of the American Medical Directors Association
OBJECTIVES: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement and identify predictors of long-term use in community-dwelling older adults. DESIGN: Explanatory sequential mixed-methods. SETTING AND PARTICIPANTS: ... read more 

AptaBLE: A Deep Learning Platform for Aptamer Generation and Analysis

bioRxiv
Aptamers are single-stranded oligonucleotides that bind molecular targets with high affinity and specificity. However, their discovery remains time-consuming, expensive, and susceptible to experimental biases. Here we present AptaBLE, a deep learning... read more 

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

bioRxiv
Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet integrating datasets from diverse sources remains challenging due to batch effects. Current methods rely on implicit feature disentanglement and and la... read more 

Spatial multi-omics identify an immunosuppressive lipid-laden macrophage niche in primary CNS lymphoma

bioRxiv
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL) with confined CNS growth. We evaluated tumor microenvironment (TME) features associated with its unique tropism. Comparative spatial transcriptomic ... read more 

A New Sparse Bayesian Quantile Neural Network-based Approach and Its Application to Discover Physiological Sweet Spots in the Canadian Longitudinal Study on Aging

bioRxiv
Identifying physiological sweet spots (optimal ranges for homeostasis) is essential for precision medicine. However, traditional statistical methods often rely on globally linear or locally jagged models that struggle to capture the smooth, non-linea... read more 

A lateral temporal network for transmodal combinatorial semantics: Convergent evidence from a multi-study investigation

bioRxiv
This study integrates three literatures typically examined in isolation: single-concept semantics, combinatorial semantics, and theory of mind (ToM). We argue that these domains share overlapping computational principles and neuroanatomical networks.... read more 

When Experience Leaves a Trace: Consolidation-Dependent Persistence in Artificial Agents

bioRxiv
Across minimal neural networks and small transformer models, we demonstrate that experience ordering alone can produce durable, irreversible behavioral divergence in artificial agents - but only when learning is consolidated into internal parameters ... read more 

In Silico Identification of Aminoadipate Semialdehyde Synthase (AASS) as a Novel Prognostic Biomarker in Triple-Negative Breast Cancer

bioRxiv
Triple-negative breast cancer (TNBC) is an aggressive subtype that lacks effective targeted therapies. This study aimed to identify robust prognostic biomarkers by integrating network biology with machine learning (ML) approaches. TNBC expression coh... read more 

THERM-D Uncovers Distinct Neural Mechanisms Separating Morning and Evening Body Temperature Rhythms in Drosophila

bioRxiv
Animal body temperature rises throughout the day and peaks in the evening, a pattern conserved across diurnal endotherms and ectotherms. However, the mechanisms driving the robust body temperature rhythms (BTR) remain largely unclear. Here, we develo... read more