Stem Cell Research

Peripheral blood profiles reflecting progenitor lineage balance are associated with molecular response in chronic myeloid leukemia.

Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) treatment, highlighting the need for predictive indicators before therapy initiation. This study aimed to investigate whether baseline hematologic profiles are associated with molecular response in CML. Using hierarchical clustering of complete blood count (CBC) data at diagnosis, patients were stratif...

Infrared spectroscopy-based chemometric modeling for monitoring mesenchymal stem cell functional decline across donors.

Reliable assessment of cellular state remains a challenge in cell therapy manufacturing and regenerative medicine. Proliferative capacity, senescence, and metabolic activity are traditionally measured using labor-intensive assays, limiting timely and integrated assessment of cellular state. Here, we apply attenuated total reflection-Fourier transform infrared spectroscopy coupled with multivariate...

Identification of TNFRSF12A as a key regulator of stemness and immunosuppression in a novel glioma subtype via multi-omics analysis and experimental validation.

Glioma stem cells (GSCs) drive tumor heterogeneity, therapy resistance, and immunosuppression. This study identified molecular subtypes of glioma base...

Advancing oncology education in low-income and middle-income African settings: global insights for local action.

Cancer incidence and mortality are rising globally, with their burden falling disproportionately on low-income and middle-income countries. Africa fac...

[Technology-Driven, Human-Centered Care: Challenges and Opportunities].

Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...

Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.

Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial in...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

Skeletal muscle reprogramming of metabolic, ribosomal and developmental pathways contributes to Roux-en-Y gastric bypass-induced adaptation in women.

BACKGROUND: Understanding how skeletal muscle responds to weight loss is crucial for developing targeted strategies to manage obesity and promote sust...

Mental simulation practices in stroke rehabilitation reorganize brain connectivity: a systematic review.

BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor function and brain connectivity. Mental Simulation Pra...

Whole genome sequencing in cerebral palsy: a UK paediatric pilot study.

BACKGROUND: Prior international studies indicate that 9-36% of people with cerebral palsy (CP) have a monogenic condition. However, the utility of who...

[Artificial intelligence in the care of geriatric patients-more of a curse or more of a blessing?].

BACKGROUND: Artificial intelligence (AI) is conquering medicine in many fields. With geriatric patients, it is important not only to understand the de...

Accuracy and Completeness of Four Artificial Intelligence Chatbots in Assisting Diagnosis and Treatment of Post-traumatic Endodontic Sequelae.

INTRODUCTION: This study aimed to evaluate the accuracy and completeness of the answers generated by four freely available AI chatbots regarding the m...

Training the algorithmically augmented orthodontist: competencies, curriculum design, and implementation challenges.

OBJECTIVES: To establish a structured framework for incorporating artificial intelligence (AI) education into orthodontic residency training, outlinin...

Use of heart rate variability in prediction of clinical deterioration in critically ill hospitalised adults: a systematic review protocol.

INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...

Machine learning approaches to predict early cardiac immune-related adverse events in patients receiving immune checkpoint inhibitors.

PURPOSE: Immune checkpoint inhibitor (ICI)-induced cardiac immune-related adverse events (cardiac irAEs) are rare yet serious complications. Clinical ...

Machine Learning Analysis of Maternal Mortality Determinants in Nigeria: An Exploratory Study.

BACKGROUND: Nigeria confronts an ongoing maternal mortality crisis, accounting for 28.7% of global maternal deaths from 2.9% of the world's population...

Deep learning-based multi-modality image conversion for evaluating dose calculation and position correction accuracy in image-guided radiation therapy.

Cone-beam CT (CBCT) is widely used in image-guided radiation therapy (IGRT). However, CBCT has limited image quality, which can reduce dose calculatio...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...

Large Language Models in German Continuing Medical Education Assessments: Protocol for a Fully Crossed Experimental Study.

BACKGROUND: Continuing medical education (CME) is a legal and ethical obligation for physicians in Germany. The rapid rise of large language models (L...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...