Oncology/Hematology

Clinical knowledge constrained multi-task learning framework for breast cancer diagnosis using ultrasound videos.

Ultrasound is widely used in breast cancer diagnosis due to its cost-effectiveness, non-invasiveness, and radiation-free properties. Computer-aided diagnostic systems based on dynamic breast ultrasound videos have advanced rapidly. However, existing methods are often affected by redundant information, make limited use of clinical prior knowledge, and provide insufficiently interpretable diagnostic...

Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfer learning (DTL) and habitat analysis models, as well as a combined model, for the preoperative noninvasive prediction of Ki-67 expression in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: A retrospective analysis was performed on 433 patients with pathologically confirmed HCC from two insti...

Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.

BACKGROUND: Cancer is a complex set of diseases caused by the dysregulation of cell proliferation, differentiation, and apoptosis, ultimately leading ...

Applications of bioimpedance measurement in clinical and allied fields: a comprehensive review.

BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), ma...

Artificial intelligence classification of spatial CD8 + T-cell distribution on computed tomography in oropharyngeal cancer.

CD8 + T-cell presence and distribution in oropharyngeal cancer (OPC) reflects specific immune phenotypes and are linked to prognosis. Image processing...

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise...

Application of Health Examination in Early Screening of Tumors.

Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...

Pre-analytical standardization and multi-biofluid harmonization for liquid biopsy biomarkers in lung cancer: From discovery to clinical laboratory implementation.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival outcomes. Liqu...

Evaluation and enhancement of the prognostic ability of the eighth edition of TNM staging in cutaneous malignant melanoma: a population-based study, using machine learning, of 111 871 patients.

BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on the rise. The TNM staging system guides treatment...

DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.

BACKGROUND: Machine-learning (ML) driven molecular diagnostics based on omics data has a potential to revolutionize personalized medicine. However, im...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Unraveling the Multifunctional and Translational Paradigm of Nanoparticulate Systems against Colorectal Cancer.

Colorectal cancer (CRC) is a health burden due to its high mortality rate, recurrence rate, and drug resistance. The limitations of traditional method...

Novel biomarkers driving treatment selection in metastatic castration-sensitive prostate cancer: fundamentals of personalized clinical decision making.

INTRODUCTION: Prostate cancer is well known to be androgen-dependent, with growth directly relying on the androgen receptor signaling pathway. In fact...

Advanced Data Analytics and Machine Learning for Geospatial Interpolation, Anomaly Detection, Background Prediction and Emergency Evacuation Routing in Real-Time Radiation Monitoring System.

For identifying natural trends, hotspots, hazardous areas, and mitigating potential health risk to the public and environment, spatial analysis of rad...

Nanomedicine carrier-based combined antitumor strategy integrating phototherapy and immunotherapy.

INTRODUCTION: The combination of phototherapy (PTT/PDT) and immunotherapy holds promise for cancer treatment but is hindered by poor spatiotemporal co...

PancDS in Real-World Practice: A Prospective Multicenter Validation of a Clinical Decision-Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis.

Distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP) is challenging due to imaging mimicry and reader-dependent...

Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.

Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent from standard planning and navigation. Advances in...

APTw CEST MRI in therapy-naive IDH-wildtype glioblastoma: insights into tumor heterogeneity and molecular subtypes.

PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (AP...

Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer.

BACKGROUND: Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical ...

AI-Driven Prediction of Cancer Pain Episodes: A Hybrid Decision Support Approach.

Lung cancer patients frequently experience breakthrough pain episodes, with up to 91% requiring timely intervention. To enable proactive pain manageme...