Product Alert

Machine learning-assisted identification and validation of NRP1 inhibitors through molecular docking and dynamics simulations.

Neuropilin-1 (NRP1) is a key mediator of tumor metastasis and progression by controlling cancer cell migration, angiogenesis, and tumor immune responses. As a result, NRP1 has recently gained considerable attention as a promising druggable target in cancer therapy. However, there are currently no FDA-approved therapeutics that inhibit NRP1, underscoring the pressing need to identify potent therape...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/BCR) repertoire remodeling during aging remains incompletely characterized, especially in non-European populations. Additionally, SARS-CoV-2 may perturb immune homeostasis and accelerate aging, but its impact on immune repertoire aging is unclear. Her...

Exploring Older Adults' Use of AI Voice Assistants Through the Lens of Self-Determination Theory.

Aging often reduces opportunities for everyday interaction and instrumental support, raising questions about the potential role of artificial intellig...

Use of a Conversational Agent for Training Mental Health Professionals in Suicide Safety Planning: Pilot Feasibility and Acceptability Study.

BACKGROUND: Safety planning is recognized as one of the most effective interventions for reducing suicidal behaviors. The quality of safety plans stro...

Deep learning models based on post-procedural angiography for predicting the future risk of in-stent restenosis.

In-stent restenosis (ISR) remains a significant complication after percutaneous coronary intervention. Identifying patients at high risk for ISR from ...

AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.

PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostate cancer, offering an alternative to radical prost...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

Clinical artificial intelligence (AI) in Japan: Regulatory pathways, domain-specific evidence, and its data infrastructure from an international perspective.

Artificial intelligence (AI) has advanced rapidly across clinical domains, generating both a growing evidence base and dedicated regulatory frameworks...

Exploring the operational challenges of navigating ethical oversight in the era of artificial intelligence: a qualitative study of health research ethics committees in Tanzania.

BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapi...

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

BACKGROUND: Multicenter electronic health records (EHRs) can support quality improvement and comparative effectiveness research in critical care. Howe...

Somatic variant-calling beyond cancer: Repurposing algorithms to map low‑allele‑fraction variants across genomics.

BACKGROUND: Somatic variant callers were originally developed to identify tumour-specific mutations in mixed tumour-normal samples. Increasingly, disc...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

Prompt sensitivity of large language models in orthodontic patient counseling: a scenario-based experimental study.

BACKGROUND: Large language models (LLMs) are increasingly used as accessible sources of health information, including orthodontic patient counseling. ...

Estimation of cycloplegic spherical refraction from non-cycloplegic clinical and biometric data in children using machine learning: a retrospective pilot study for screening triage.

OBJECTIVE: To develop and evaluate non-cycloplegic clinical and biometric models for estimating cycloplegic spherical power (DS), spherical equivalent...

Promising performance of locally deployed large language models for postoperative orthopaedic patient questions: An In Silico analysis.

PURPOSE: Generative artificial intelligence (AI), particularly large language models (LLMs), are increasingly utilised in healthcare. While this may r...

The diagnostic and predictive value of AI-combined multilayer spiral CT for MACE after emergency PCI in STEMI patients: A prospective cohort study.

ST-segment elevation myocardial infarction (STEMI) patients remain at substantial risk for major adverse cardiovascular events (MACE) following emerge...

AI-assisted digital breast tomosynthesis as a decision-support tool for post-neoadjuvant surgical planning in breast cancer.

PURPOSE: Accurate assessment of residual disease after neoadjuvant chemotherapy (NAC) is essential for surgical planning and prevention of incomplete ...

Rising tree mortality in France is associated with distinct seasonal climate anomalies.

Tree mortality is rising across European forests, yet its dominant drivers remain difficult to disentangle. Analyzing over 500,000 trees from the Fren...

Clinical Risk Management and Patient-safety Research: A Large-scale Bibliometric Mapping of the Field and Its Emerging Directions (Master vs. 2021-2025).

BACKGROUND: To map the evolution, knowledge structure, and emerging directions of clinical risk management (CRM) and patient-safety research by contra...