Stem Cell Research

Toward personalized iodine-131 therapy: A review of dosimetric strategies.

BACKGROUND: Iodine-131 (131I) therapy is a cornerstone of nuclear medicine for thyroid diseases and certain cancers. This review evaluates the transition from empirical to personalized dosimetry, focusing on image-based and AI-driven strategies. METHODS: Following PRISMA guidelines, we analyzed studies from 1980 to 2025 across PubMed, Scopus, and other databases. We examine the core dosimetric fra...

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies, and the impact factor as a quality indicator.

UNLABELLED: The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and transparency. This editorial highlights two categories of threats: (1) external pressures, such as AI misuse and metric-driven publishing models, and ...

Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review.

INTRODUCTION: Cancer is a major global health concern, causing millions of deaths each year due to the uncontrolled growth and spread of abnormal cell...

Autophagy-exosome crosstalk in neurodegeneration: Mechanisms and therapeutic opportunities.

Neurodegenerative diseases (NDs), including Alzheimer's, Parkinson's, Huntington's, amyotrophic lateral sclerosis, and multiple sclerosis, share a com...

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study.

BACKGROUND: Accurate and equitable prediction of trauma-related in-hospital mortality is critical for guiding clinical decisions and optimising trauma...

Lung cancer as a global health challenge: Multidimensional biomarker research and therapeutic advances.

Lung cancer, the leading cause of global cancer-related mortality, is categorized into small-cell and non-small-cell subtypes. The heterogeneous non-s...

Immune-activated & pathology-characterized: the distinct clear cell renal cell carcinoma subtypes for 3PM strategies derived from artificial intelligence in multi-omics.

BACKGROUND AND OBJECTIVE: Renal clear cell carcinoma (ccRCC) is highly heterogeneous, with significant differences in clinical outcomes such as progno...

Non-polio enterovirus infection and electrophysiological changes in human iPSC-derived neural networks.

BACKGROUND: The non-polio enteroviruses (NPEV) enterovirus D68 (EV-D68) and enterovirus A71 (EV-A71) are highly prevalent and considered pathogens of ...

Advancing cell and gene therapy: Application of AI/ML in clinical development and patient management.

This article explores the transformative potential of artificial intelligence (AI) and machine learning (ML) in advancing cell and gene therapy (CGT) ...

RAS signaling in lung adenocarcinoma is defined by lineage context and DUSP4 loss.

BACKGROUND: The molecular landscape of lung adenocarcinoma (LUAD) is often illustrated as a driver-oncogene "pie chart," but identical mutations exhib...

Ageing phenotypes and behavioural determinants of health on age acceleration: the Cancer Survivors' Trajectories of Ageing Research (C*STAR) study protocol.

INTRODUCTION: Age acceleration in survivors of breast cancer is a critical issue because cancer and its treatment can increase structural and numerica...

[Annual progress of interventional pulmonology in 2025].

In 2025, interventional pulmonology continues to progress rapidly through technological innovation and multidisciplinary integration, playing an incre...

Microfluidic electroporation for drug and gene delivery: Driving innovation from single-cell precision to high-throughput preclinical and therapeutic platforms.

Intracellular delivery of therapeutic biomolecules represents a fundamental prerequisite for cell-based therapies and precision medicine, yet existing...

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study.

BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hormone receptor-positive, HER2-negative, early breas...

BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations.

BRAF inhibitors (BRAFi) have transformed the treatment of BRAF mutant melanoma, but inherent and acquired resistance remains a major barrier to curati...

AI-driven identification of a selective dual function inhibitor blocking HK2 activity and HK2-VDAC1 interaction displaying enhanced anticancer efficacy under hypoxia.

Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pivotal role of HK2 in the Warburg effect, enhanceme...

Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity.

Cellular morphology, a critical manifestation of biological characteristics, is linked to functions. In traditional cell detection, invasive labeling ...

Investigating the Effect of Hospital Infection Control Informatization on Optimizing Microbiological Specimen Submission Before Antibiotic Therapy: Failure Mode and Effects Analysis.

BACKGROUND: Antimicrobial resistance (AMR) poses a critical global health threat, with inappropriate antibiotic use being a major driver. Timely micro...

GOLD 2026: Transforming COPD Management with Early Intervention, Multi-dimensional Assessment, and Personalized Care.

The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...

Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities.

OBJECTIVES: To analyse the landscape of active US National Institutes of Health (NIH) artificial intelligence (AI) health research grants, with emphas...