Artificial Intelligence Medical Compendium

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

Showing 1,331 to 1,340 of 200,346 articles

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

Current allergy and asthma reports
PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of people and causing significant morbidity. It is immunologically heterogeneous disease, classified as Type 2 (Th2/ILC2-mediated, eosinophilic) or Type 1 (T... read more 

What is the impact of AI-driven prosthodontic planning on dental implant positioning outcomes? A systematic review.

The Saudi dental journal
PURPOSE: This systematic review aimed to evaluate the role of artificial intelligence (AI)-based technologies, including machine learning algorithms, predictive analytics, and AI-assisted surgical guidance, in prosthodontic-driven planning for dental... read more 

DNA-Based Boolean Logic Gates for Molecular Computation and Biosensing: A Critical Review.

Molecular biotechnology
DNA-based Boolean logic gates represent a transformative platform in molecular computation, providing a bridge between biological processes. The field has advanced toward sophisticated designs incorporating spatiotemporal control. Distinguished by fe... read more 

Unveiling the Impact of Copper Metabolism on Epithelial-Mesenchymal Transition of Triple-Negative Breast Cancer: Identification of Therapeutic Targets.

Interdisciplinary sciences, computational life sciences
Triple-negative breast cancer (TNBC) is a biologically aggressive subtype of breast cancer marked by high heterogeneity and poor prognosis. Copper metabolism has been implicated in TNBC progression, but its functional contributions remain insufficien... read more 

Attention-Guided Multi-View Contrastive Learning for Predicting Sparse Drug-Gene Associations.

Interdisciplinary sciences, computational life sciences
Employing deep learning techniques for drug discovery and repurposing necessitates the acceleration of predictions regarding drug-gene interactions. However, the scarcity of experimental support data often constrains the performance and generalizatio... read more 

A Hybrid Data-Driven Intensified Mechanistic Modeling Framework for Accurate and Reliable Wastewater Treatment Process Simulation and Control.

Environmental science & technology
Computational modeling guides the wastewater treatment (WWT) design. However, nonlinearities, stochastic influent fluctuations, and complex microbial interactions challenge model predictive accuracy and robustness. Mechanistic models lack fidelity un... read more 

AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults.

JAMA pediatrics
IMPORTANCE: The rapid expansion of artificial intelligence (AI) chatbots has coincided with a persistent youth mental health crisis in the US, raising a question about the extent to which young people are turning to this technology for mental health ... read more 

Estimating a Physiological Lung Function Score and Biological Sex Using Pulmonary Function Tests and Machine Learning: Retrospective Study.

JMIR AI
BACKGROUND: Sex and age have long been known to affect lung function. Several biological variables and anatomical factors may contribute to sex- and age-related differences in pulmonary metrics. OBJECTIVE: We hypothesized that a machine learning mode... read more