Latest AI and machine learning research in leukemia for healthcare professionals.
Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis, accompanied by metabolic reprogramming and tumor microenvironment (TME) disorders. Lactate metabolism is critical for tumor progression and immune escape, but its regulatory mechanism and clinical value in HNSCC remain unclear. We integrated single-cell and bulk RNA-sequencing data to identify l...
BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithelial ovarian cancer, particularly for patients with high tumour burden or poor surgical fitness. Despite improvement in resectability and reducing perioperative morbidity, current methods for evaluating response, namely imaging, serum biomarkers and histopathology, lack sensitivity and fail to provi...
Interpretable machine learning approaches to quantitative structure-activity relationship (QSAR) modelling are increasingly applied in drug discovery,...
PURPOSE: Cancer-associated fibroblasts (CAFs) are central drivers of PDAC progression and therapeutic resistance, yet their preoperative clinical util...
Background and purpose Artificial intelligence (AI)-based tools for CT angiography (CTA) have been introduced to support rapid detection of large vess...
The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for...
CONTEXT: The triglyceride-glucose (TyG) index is a widely used surrogate marker of insulin resistance and associated with cardiometabolic outcomes. Ho...
Accurate detection of blood cells-red blood cells, white blood cells, and platelets-is essential for diagnosing hematological disorders such as anemia...
The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy for enhancing therapeutic efficacy in cancer trea...
Nuclear reactor accidents can result in prolonged radiation exposure with complex and uncertain health consequences. Existing studies often focus on d...
INTRODUCTION: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) accelerate disease progression and increase mortality. Accurate se...
Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secondary prevention after acute coronary syndrome and ...
BACKGROUND: Rapid screening of hematolymphoid malignancies (HMs) by complete blood cell count (CBC) is crucial for choosing the next appropriate worku...
OBJECTIVE: The association between cervical cancer (CC) and venous thromboembolism (VTE) has been well documented, but the underlying molecular charac...
Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in bioimaging,...
Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by influencing tumor progression, metastasis, and therapy...
Complete cytoreductive surgery remains one of the strongest determinants of outcome in ovarian cancer, yet surgeons still lack rapid tissue-assessment...
OBJECTIVES: This randomized clinical study aimed to assess implant placement accuracy and radiographic outcomes of computer-guided versus freehand rid...
The purpose of this study is to develop and retrospectively validate a deep learning system for the classification and anatomically interpretable loca...
Pyroptosis is a major contributor to the pathophysiology of acute liver failure (ALF), a condition with high mortality. Although N‑acetylcysteine (NAC...