Other Cancers

Machine learning of sunitinib resistance genes reveals that SP5 regulates angiogenesis and sunitinib resistance in RCC via the VEGFA/AKT axis.

BACKGROUND: Sunitinib resistance remains a major clinical challenge in renal cell carcinoma, and the underlying molecular mechanisms are incompletely understood. SP5, a member of the specificity protein transcription factor family, has been implicated in tumor progression, but its role in sunitinib resistance and angiogenesis in RCC is unclear. METHODS: We integrated bulk RNA-seq datasets (GSE1721...

Ethics of artificial intelligence prognostication in palliative care: perspectives from a national survey of palliative care physicians.

OBJECTIVES: Artificial intelligence (AI) tools have the potential to transform access to and delivery of palliative care globally-an urgent unmet need-in part by early identification of patients experiencing serious illness-related suffering. Although global consensus is emerging about the importance of ethical principles for AI, such as respecting autonomous choice, promoting patient well-being, ...

Interpretable Machine Learning Using Multimodal Ultrasound and MRI Features for Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Dual-Center Retrospective Study.

The objective of the study is to develop and externally evaluate interpretable machine learning models integrating routinely reported ultrasound and M...

The role of artificial intelligence in predicting immunotherapy treatment outcomes based on gut microbiota composition in cancer patients: a meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, but response varies across patients. Gut microbiota may influence i...

[Reflections on surgical management strategies for locally advanced gastric cancer after neoadjuvant immunotherapy].

Neoadjuvant immunotherapy is reshaping the treatment landscape of locally advanced gastric cancer (GC). The central clinical challenge has expanded fr...

Biallelic loss of RB1 in hepatocellular carcinoma as synthetic lethal target for artificial intelligence-guided therapy.

The retinoblastoma (RB1) gene is a critical tumor suppressor that regulates cell cycle progression and genomic stability. Although RB1 alterations hav...

NRF2-mediated ferroptosis suppression defines a cancer-specific vulnerability in tumors.

NRF2 is a master regulator of redox and metabolic homeostasis that protects normal tissues from stress but is frequently hijacked by cancers to sustai...

Lung cancer detection in CT scans using extracted nodule features and precise multistage segmentation with deep learning based ensemble model.

Lung cancer is one of the deadliest malignancies, known for rapid growth and has high potential of spreading the original tumor cells to other cells o...

Machine Learning-Based Screening of Optimal miRNA Targets Enabled by a Cytosolic Delivery Carrier for Augmenting Cancer Therapy.

Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurate target selection and inefficient delivery. This ...

Reflectance Confocal Microscopy Versus Line-Field Confocal Optical Coherence Tomography in Facial and Scalp Lesions Suspicious for Basal Cell Carcinoma: A Histopathology-Referenced Multi-Reader Study.

BACKGROUND: Non-invasive imaging techniques can support assessment of lesions suspicious for basal cell carcinoma (BCC) when dermoscopy is inconclusiv...

[Endoscopic diagnostics and treatment of early neoplasia of the esophagus].

Endoscopic diagnostics and treatment of early esophageal neoplasia have achieved considerable progress in recent years. For Barrett's esophagus-associ...

Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment (TME) in which dysregulated mechanotransduction pr...

Piezo1 channel: structure, mechanogating mechanism, functions, diseases and therapeutic strategy.

The Piezo1 channel is a mechanosensitive, non-selective cation channel that converts mechanical forces into electrochemical signals, playing pivotal r...

MDAGCN: A multimodal dynamic adaptive graph convolutional network for sleep staging.

Existing deep-learning-based sleep staging frameworks frequently rely on shared multimodal feature extractors, which may overlook modality-specific di...

Applications of synthetic biology in biomedicine.

Based on the principles of engineering reconstruction and programmable design, synthetic biology is driving a paradigm shift in biomedical diagnosis a...

AI-Assisted Line-Field Confocal Optical Coherence Tomography to Detect Subclinical Basal Cell Carcinoma.

IMPORTANCE: Basal cell carcinoma (BCC) is the most common type of skin cancer worldwide. Particularly on the face, its locally destructive growth lead...

Development and evaluation of AI-based clinical decision support system for streamlining breast multidisciplinary team meetings.

OBJECTIVES: Multidisciplinary team (MDT) meetings are key to delivering cancer care. Increasing caseload and limited resources make them less effectiv...

Large-scale AI-guided liver malignancy diagnosis: multicenter study and a single-arm trial.

Liver malignancies are frequently evaluated on contrast-enhanced computed tomography (CE-CT), but missed or delayed diagnoses remain a clinically impo...

Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors.

PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and liver tumors. Precis...

Machine learning-based prediction of peripherally inserted central catheter-related thrombosis in hematological malignancies: development and validation of a dynamic model in a multicenter cohort.

PURPOSE: Peripherally inserted central catheter-related thrombosis (PICC-RT) is a common and serious complication in patients with hematological malig...