Stem Cell Research

PD-L1 expression combined with immune phenotype is a potential predictor of outcome with PD-1 inhibitor monotherapy in patients with recurrent or metastatic head and neck squamous cell carcinoma.

OBJECTIVE: Programmed cell death-ligand 1 (PD-L1) expression and immune phenotype (IP) are potential predictive biomarkers for immune checkpoint inhibitors (ICIs) in recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC). This study evaluated the predictive value of combining PD-L1 expression and IP in R/M HNSCC. STUDY DESIGN: Forty-one R/M HNSCC patients treated with ICI we...

Statin-Induced Decade-Long Stabilization of Noncalcified Coronary Plaque Despite a Zero Calcium Score.

BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed tomography angiography (CCTA) from 2015 to 2026, which revealed progressive noncalcified plaque. FIRST-IN-HUMAN/EARLY REPORTS SUMMARY: Despite the absence of baseline calcification, serial imaging demonstrated increasing plaque volume before initiat...

Precision medicine in Moyamoya vasculopathy.

PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...

Integrated m6A reader network in acute myeloid leukemia: prognostic modeling, immune modulation, and functional validation of YTHDF3.

Emerging evidence highlights RNA N6-methyladenosine (m6A) modifications as pivotal regulators of tumorigenesis, yet the synergistic roles of m6A reade...

Trajectories in renal perfusion pressure during hemodynamically guided therapy are associated with worsening renal function and patient outcomes.

BACKGROUND: Worsening renal function (WRF) during acute decompensated heart failure (ADHF) therapy portends worse outcomes. We hypothesized that renal...

Nursing students' perceptions of gender and race in AI healthcare imagery.

BackgroundThe rapid integration of artificial intelligence (AI) into healthcare has transformed how health professionals learn, communicate, and make ...

Ethics in Telepsychiatry.

This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particula...

Biological multi-omics approaches to next-generation biomarkers in immune-related disorders and malignancies: An overview.

Cancer and autoimmune diseases are major global health challenges characterized by molecular and clinical heterogeneity. Traditional single-analyte bi...

Ethics, generative AI and science communication.

In this essay, we argue that the applications of generative-AI technologies to science communication need careful consideration to ensure such uses ar...

Unveiling CDKN1A and RELA: Machine learning-driven aging biomarkers for precision diagnosis and therapy in knee osteoarthritis.

BACKGROUND: Knee Osteoarthritis (KOA) is a degenerative joint disease marked by progressive cartilage deterioration, closely tied to cellular senescen...

The role of artificial intelligence in advancing urologic care: From diagnostics to therapeutics.

Artificial intelligence (AI) is gradually altering urology by improving diagnostic precision, prognostic evaluation, and therapy decisions in a broad ...

Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.

Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy strategies beyond conventional single-mode regulati...

Trajectories of affective disorders-the central structures of CRC/TRR 393.

The recurrent and often unpredictable course of affective disorders poses a critical challenge for long-term patient care. The CRC/TRR 393 consortium ...

Advances in antituberculosis drug-induced liver injury: Molecular mechanisms, genetic insights, and emerging animal-free prediction models.

Approximately 10 million tuberculosis patients worldwide require drug therapies annually. However, prolonged use of tuberculocidal drugs in combinatio...

Toward sustainable, smart, and multifunctional Carrageenan bio(nano)composites: Mechanistic insights, physicochemical properties, biomedical interfaces, and AI-driven design perspectives.

Carrageenan (CG), a sulfated galactan derived from red seaweed, has emerged as a versatile biopolymer for developing sustainable, smart, and multifunc...

The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centred Paradigm to Optimize Healthcare Outcomes.

This article aims to examine the philosophy of Artificial Intelligence (AI) in healthcare and present a novel framework that could bridge philosophy, ...

IsomiR utility in amyotrophic lateral sclerosis prognostication.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive motor neuron loss. IsomiRs are micro...

C-peptide Index under Non-fasting Conditions Can Predict the Likelihood of Future Insulin Therapy in Outpatients with Type 2 Diabetes Mellitus Not Receiving Insulin at Baseline.

Objective This study aimed to develop a clinical model in which the C-peptide index (CPI) under non-fasting conditions can predict future insulin ther...

Global trends in artificial intelligence applications for gastric cancer prediction, treatment, and management: a topic modeling and bibliometric analysis.

PURPOSE: Artificial intelligence (AI) emerged as a promising tool for enhancing healthcare delivery and outcomes for gastric cancer (GC) patients. Thi...

AI in healthcare: mapping Romania's transition from research to intellectual property & industry solutions.

OBJECTIVES: Romania is aligning its healthcare AI ecosystem with the European Union's AI Act (2024/1689), through its own National AI Strategy. Despit...