AI Medical Compendium

ASO Authors Reflections: Artificial Intelligence-Driven Three-Dimensional Reconstruction System-From Plan to Procedure.

Annals of surgical oncology Jun 1, 2026

A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry Jun 1, 2026

Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular, material, and process design, but their reliability decreases when extrapolation occurs beyond the training data. To address this challenge, an inde... read more

A risk stratification framework based on ammonia-induced cell death signatures for prognostic assessment and therapeutic insights in colorectal cancer.

Discover oncology Jun 1, 2026

BACKGROUND: Ammonia, which was traditionally regarded as a metabolic by-product, has more recently emerged as a crucial regulator of tumor metabolism and immune dysfunction. Nevertheless, the prognostic implications and therapeutic significance of am... read more

Evaluation of super-resolution deep learning reconstruction on three-dimensional constructive interference in steady state for enhanced visualization of vestibular schwannomas.

Radiological physics and technology Jun 1, 2026

We evaluated whether, compared with conventional deep learning reconstruction (DLR) and zero-filling interpolation (ZIP), super-resolution DLR (SR-DLR) enhances the visualization of vestibular schwannomas and cranial nerves in three-dimensional const... read more

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

Current allergy and asthma reports Jun 1, 2026

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 Jun 1, 2026

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 Jun 1, 2026

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 Jun 1, 2026

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 Jun 1, 2026

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

AI-Based Quantitative Nasal Cytology for Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Pilot Study.

International forum of allergy & rhinology Jun 1, 2026

Artificial Intelligence Medical Compendium