Stem Cell Research

Machine learning-assisted prognosis of multiple myeloma side population cells via SRGs and OCLR stemness index.

BACKGROUND AND OBJECTIVE: Relapse in Multiple Myeloma, driven by therapy-resistant cancer stem cells, necessitates the development of more specific and accurate prognostic models. Existing stemness indices often lack specificity for the unique biology of Multiple Myeloma. This study aimed to develop, validate, and optimize a novel prognostic gene signature derived from Side Population cells, a wel...

Polyploid giant cancer cells: A novel target in future cancer therapy.

Under intense therapeutic stress-including chemotherapy, radiotherapy, and targeted therapies-tumor cells can undergo ploidy reprogramming to generate polyploid giant cancer cells (PGCCs). Once largely overlooked, this rare but biologically distinctive tumor cell subpopulation has now been firmly implicated across multiple malignancies in therapy resistance, metastatic progression, and tumor relap...

Ensemble learning-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.

PURPOSE: To develop and validate a multimodal ensemble machine learning model integrating multi-sequence magnetic resonance imaging (MRI) radiomics, c...

Wicked Modes in UX: Pedagogical Considerations for Data Détournement.

User experience (UX) as both a vocation and a skillset is currently in the center of a wicked knot: emerging technologies such as generative artificia...

The Application Effect of Robot-Assisted Therapy for Hand Dysfunction After Stroke: A Scoping Literature Review.

This scoping review was designed to address the core question: In the field of poststroke hand function rehabilitation, what is the current status of ...

Metal-based nanomaterials achieve tumor treatment strategies by overcoming the blood-brain barrier of glioma and responding to the tumor microenvironment.

Glioblastoma (GBM) continues to be the most lethal form of primary brain tumor. Therapeutic efficacy is significantly hindered by the presence of the ...

Microrobots/micromotors in cancer therapeutics, advances and applications.

Cancer remains one of the most challenging diseases to conquer due to its high mortality rate and the lack of effective diagnostic and therapeutic too...

Biophysics of organoids.

Organoids, 3D in vitro structures derived from embryonic or adult stem cells, offer powerful models for studying tissue patterning, development, morph...

Evaluating the efficacy of the ResNet50 deep learning model utilizing thyroid scintigraphy images for predicting the outcomes of initial iodine-131 therapy in patients with Graves' disease.

BACKGROUND: Graves' disease (GD), a leading cause of hyperthyroidism, exhibits heterogeneous responses to iodine-131 therapy, underscoring the need fo...

The scope of cardiology research: More than 300 topics covered through bibliometric evaluation.

This study provides a bibliometric overview of cardiovascular-related bibliometric research identified in the Scopus database using a title-abstract-k...

The basis for future personalized therapy approaches - Machine learning-generated 1-year survival rate, metastatic status and therapy-dependent survival in pancreatic cancer patients.

BACKGROUND: Pancreatic adenocarcinoma (PDAC) remains one of the most lethal types of cancer, characterized by its unspecific symptoms, aggressive natu...

Revealing the anti-tumor mechanisms of aromatic oil from Amomum villosum through integrated network pharmacology, bioinformatics, machine learning, single-cell sequencing, and cell experiments.

The dry fruits of Amomum villosum (Av) are a traditional Chinese medicine used for gastrointestinal disease. Aromatic oil has been reported to have an...

A Scoping Review of Male Fertility Assessment and Treatment Across Historical and Contemporary Paradigms.

BACKGROUND: Male factor infertility accounts for up to 50% of couples' inability to conceive. Despite this significant burden, perspectives on male fe...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltrati...

Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal adenocarcinoma: a multicenter study.

PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI for predicting preoperative perineural invasion (PN...

Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group.

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for several primary and metastatic malignancies; however, c...

MMC-CS: Multi-branch multi-stage contrastive learning for self-supervised compressed sensing.

In recent years, optimization-inspired networks that integrate optimization theory into deep neural networks (DNNs) have achieved remarkable success i...

Advances in the application of artificial intelligence in mass spectrometry-based analysis of traditional Chinese medicine: compound identification and metabolic pathway elucidation.

Traditional Chinese medicine (TCM), characterized by its multi-component, multi-target, and multi-pathway nature, presents considerable challenges in ...

Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow.

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constru...

Industry 6.0 capabilities in orthopaedics: Towards hyper-personalized and autonomous surgical care.

BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artificial intelligence (AI), autonomous robotics, digit...