Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesion detection. Whether Helicobacter pylori (H. pylori) infection influences its diagnostic performance remains unclear. This study evaluated the effect of H. pylori infection on an AI model's accuracy for diagnosing gastric neoplasms. METHODS: A deep convolutional neural network-based AI system was ev...
Bladder cancer remains a major global health challenge, characterized by diagnostic uncertainty, substantial treatment costs and high recurrence rates. Current diagnostic and treatment modalities, including cystoscopy, transurethral resection of bladder tumour and standard histopathology, have limitations, including the inability to detect flat lesions, frequent understaging and interobserver vari...
BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME), but their roles in prognosis and immunotherapy r...
The gut microbiome is recognized as a determinant of response to immune checkpoint inhibitor (ICI) therapies in cancer. However, the clinical translat...
PURPOSE: To evaluate the diagnostic accuracy of artificial intelligence (AI) based on convolutional neural network (CNN) in diagnosing oral squamous c...
Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks. He...
We have trained and externally validated a knowledge-based planning model for radiation therapy planning in the setting of high-grade glioma. Model pe...
The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshaping medical practice. Skin cancer, one of the most ...
Lung-cancer-on-a-chip (LCOC) technologies have advanced rapidly, yet most models evaluate mechanical strain, patient-derived tumors, multi-organ inter...
Intrinsically disordered proteins (IDPs) and their involvement in liquid-liquid phase separation (LLPS) have reshaped our understanding of how cells o...
BACKGROUND AND AIMS: Ulcerative colitis (UC), a chronic inflammatory bowel disease, causes persistent mucosal inflammation and epithelial dysfunction....
BACKGROUND: Differentiating preserved ratio impaired spirometry (PRISm) from chronic obstructive pulmonary disease (COPD) is challenging. Traditional ...
OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool for improved mammographic screening interpretive ...
Multi-functional therapeutic peptides (MFTP) play a crucial role in drug development, exhibiting properties such as anti-cancer, anti-inflammatory eff...
BACKGROUND: The aim of this study was to identify and validate clinically meaningful predictors of local treatment failure (LTF) after stereotactic ra...
BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet its clinical impact across modalities remains uncer...
BACKGROUND: Glioma is the most common malignant primary brain tumor. Temozolomide (TMZ) is the standard first-line chemotherapy, but its efficacy is s...
Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological malignancies but faces formidable challenges in s...
Quantitative PET imaging requires accurate attenuation and scatter correction (ASC), but the standard CT-based method introduces additional radiation ...
Prostate cancer, among the most prevalent cancer types globally, exhibits marked heterogeneity and varying disease progression and clinical outcomes. ...