Stem Cell Research

Angioimmunoblastic T-cell lymphoma with lymphomatous effusion: Diagnostic challenges and cytology-based approaches.

Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor prognosis. Lymphomatous serous effusion, defined as the presence of malignant lymphoma cells in the pleural, pericardial, or peritoneal fluid, is a rare but clinically important manifestation, particularly when a lymph node biopsy is difficult or delayed. We performed a narrative review of case report...

Strengthening funding and integration for NTD elimination: insights from the 2025 Annual Meeting of National NTD Programme Managers in the WHO African Region.

The 2025 Annual Meeting of National Neglected Tropical Disease (NTD) Programme Managers (2025 PMM) in the WHO African Region convened stakeholders in Lomé, Togo, under the theme "Innovating for Acceleration: Pathway to NTD Elimination." A key focus was the changing funding environment and the necessity for enhanced integration of NTD services within health systems to guarantee sustainable advancem...

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. How...

Nanoengineering-Based Strategies for Enhancing Dynamic Therapy.

Dynamic therapy has gained increasing attention in the biomedical field due to its high therapeutic efficiency, low cytotoxicity and broad applicabili...

The current state of artificial intelligence research in pediatric radiology and recommendations for the future: a scoping review.

BACKGROUND: Most artificial intelligence (AI) research in radiology has focused on adults. Understanding macro-level trends in pediatric radiology AI ...

Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.

Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements in early detection, therapeutic approaches, and c...

Organotypic Retinal Explant Culture as a Model for Neuroretinal Degenerative Disease and Future Applications.

Organotypic retinal explant cultures are a valuable experimental tool for investigating neuroretinal diseases and advancing therapeutic strategies. Ex...

Recovery of expected salary estimated by facial emotion scores against computer-based landscape data.

The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage investment. A total of 31 industrial parks (IPs) w...

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion.

BACKGROUND: Benign adrenal tumours, found in 1-7% of adults, can be non-functioning (NFAT) or show mild autonomous cortisol secretion (MACS), i.e., bi...

Associations between contralesional neuroplasticity and motor impairment through deep learning-derived MRI regional brain age in chronic stroke (ENIGMA): a multicohort, retrospective, observational study.

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age d...

Incidence and implications of abstinence-induced recompensation in alcohol-related cirrhosis.

BACKGROUND & AIMS: Alcohol abstinence enables hepatic recompensation in patients with decompensated alcohol-related cirrhosis. This study investigated...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent need for transformative strategies in tissue engine...

Automated High-Throughput Raman Spectral Framework for Cellular Differentiation Monitoring.

High-throughput, label-free monitoring of cellular differentiation remains a major challenge in stem cell biology and regenerative medicine. Raman spe...

Prehospital transfusion strategies in haemorrhagic shock.

BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorrhagic shock, yet critical bleeding accounts for up...

Semi-supervised learning for dose prediction in targeted radionuclide therapy: a synthetic data study.

Objective.Accurate and personalized radiation dose estimation is crucial for effective targeted radionuclide therapy (TRT). Deep learning (DL) holds p...

Multi-omics integrative analysis of stemness-associated pathological signatures to guide prognosis and therapeutic strategies in uveal melanoma.

BACKGROUND: Uveal melanoma (UVM) is the most common intraocular malignancy in adults and exhibits poor prognosis upon metastasis. Stemness, a hallmark...

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma.

Recent advances in digital pathology have enabled comprehensive analyses of Whole-Slide Images (WSIs) from tissue samples, leveraging high-resolution ...

Comprehensive Profiling of N6-methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation.

N6-methyladenosine (m6A) modification constitutes a crucial layer of post-transcriptional regulations, but the landscape of its downstream readout eff...

Interpretable Artificial Intelligence in Assisting Treatment Response Prediction for Locally Advanced Rectal Cancer After Neoadjuvant Chemoradiotherapy: A Prospective, Multicenter, Human-Model Interaction Study.

PURPOSE: Preoperative assessment of pathologic complete response (pCR) to neoadjuvant therapy is an urgent need for anorectal preservation in patients...

Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis.

BACKGROUND: Thrombolysis and mechanical thrombectomy represent the most successful stroke innovations over the last 30 years. Quantifying innovation i...