Stem Cell Research

Review of systemic therapy in HCC with an approach to response assessment in clinical practice.

Systemic therapy for hepatocellular carcinoma (HCC) has undergone rapid transformation over the past decade, significantly expanding treatment options and improving survival for patients with advanced disease. Guided by the Barcelona Clinic Liver Cancer staging system, systemic therapy is primarily indicated for advanced-stage HCC and select intermediate-stage cases with preserved liver function. ...

Third-party governance and artificial intelligence for diabetes management in primary health care, China.

PROBLEM: Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer than half of patients with diabetes achieve glycaemic control. APPROACH: Tianjin's 2020-2023 reform established a public-private partnership model where WeDoctor managed community health centres under a capitation scheme. This strategy integrated: (...

AI-assisted health management and older adults' autonomy: an empirical ethics study of privacy, algorithmic reliance, and relational dynamics.

BACKGROUND: AI-assisted health management is increasingly integrated into healthcare practices for older adults, offering new possibilities for contin...

Advances in immune checkpoint inhibitor therapy for microsatellite instability-high (MSI-H) and mismatch repair-deficient (dMMR) colorectal cancer: Insights from the tumor immune microenvironment.

This review systematically analyzes the relationship between the immune microenvironment characteristics of microsatellite instability-high (MSI-H) or...

Three-Stage Evolution of China's Breakthrough Therapy Drug Policy: AI-Driven Quantitative Evidence and Global Implications.

BACKGROUND: Many countries have accelerated the approval of innovative drugs through breakthrough therapy policies to meet public health needs. China ...

An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study.

BACKGROUND: Current data analysis and coordination methods do not effectively support nurses and midwives in risk reduction, as retrospective reportin...

Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study.

BACKGROUND: People with and who have survived paediatric brain tumour (PBT) have a poor quality of life due to physiological frailty, a primary compon...

Clinical and EEG features integrated by a deep learning method to investigate treatment outcomes in epilepsy with eyelid myoclonia.

OBJECTIVE: To explore the correlation between clinical and electroencephalogram (EEG) factors and therapeutic outcome in epilepsy with eyelid myocloni...

Lessons from the first U.S. school districts with real-time indoor environmental quality (IEQ) sensors in classrooms: benefits, barriers and opportunities.

With aging buildings, rising temperatures, and limited budgets, school districts in the United States need effective strategies to address classroom e...

Decoding lactylation heterogeneity in glioblastoma: machine learning identifies G6PC3 as a prognostic target.

BACKGROUND: Glioblastoma (GBM) is the most common malignant glioma in adults. It has an extremely poor prognosis, highlighting an urgent need for new ...

Efficient in vivo assembly of DNA encoded multivalent BTEs for dual antigen targeting for broadening therapeutic impact in ovarian cancer.

The clinical potential of bispecific T cell engagers (BTEs) is limited by their short serum half-life and the complexity and cost of recombinant prote...

Predicting neoadjuvant breast cancer therapy response using BRIDGE from tumor transcriptomics and histopathology.

BACKGROUND: While expression-based signatures inform adjuvant therapy in breast cancer (BC), no approved molecular biomarkers exist for the neoadjuvan...

Coconstructing CHAMP, an Artificial Intelligence Chatbot for Pediatric Infectious Symptoms Management: Protocol for a Multiphase Participatory Study.

BACKGROUND: Acute infectious symptoms are a leading cause of pediatric emergency department visits in Canada, many of which are low acuity and could b...

Multicentre prospective cohort study to develop and validate a machine learning-based model for predicting 6-month all-cause mortality in elderly patients with advanced chronic obstructive pulmonary disease in China: study protocol.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality predicti...

Integrated transcriptomic analysis identifies liver aging-driven fibrosis signatures and reveals therapeutic strategies based on medicine-food homology.

Despite its strong regenerative capacity, liver aging paradoxically increases susceptibility to fibrosis and metabolic dysfunction-associated steatoti...

Personalized prediction of student progress in moral education using multi modal learning.

In modern education systems, accurate and individualized prediction of the development of students in ethics education is the central problem. Unbiase...

TwinRL-Onco: A World Model-Empowered Digital Twin Framework with Hierarchical Reinforcement Learning for Venetoclax Resistance Trajectory Prediction and Adaptive Therapy Optimization in Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukaemia (CLL) presents considerable therapeutic obstacles due to the development of treatment-resistant disease, especially with...

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study.

BACKGROUND: Artificial intelligence (AI) technologies are increasingly being integrated into mental health settings to support tasks such as clinical ...

Artificial intelligence in cancer diagnosis and therapy using sex and gender as precision biomarkers.

Sex and gender represent critical yet underutilized precision biomarkers in oncology, influencing cancer incidence, progression, treatment response, a...

Hallmarks of epithelial-mesenchymal plasticity in cancer.

Cancer stem cells (CSCs) drive tumour initiation, progression, metastasis, and therapy resistance through their remarkable plasticity, enabling dynami...