Latest AI and machine learning research in lung cancer for healthcare professionals.
Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by high mortality, recurrence, and metastasis. Despite advancements in therapies such as surgery, targeted treatment and immunotherapy, therapeutic resistance and immune evasion remain significant challenges. In our study, we integrated multi-omics data, including spatial transcriptomics, single-cell RNA ...
PURPOSE: Photon-counting computed tomography (PCCT) offers versatile anatomic information because of better energy discrimination and higher spatial resolution than conventional energy-integrating computed tomography (CT). With its rapid applications in diagnostic imaging, its potential within radiation oncology remains largely unexplored. Successful radiation therapy (RT) relies on both high-qual...
PURPOSE: High-sensitivity, total-body (TB) positron emission tomography (PET) and computed tomography (CT) imaging systems enable substantial reductio...
Activation functions and their variable gradient action are pivotal in bridging artificial neural networks with the dynamic behavior of biological neu...
Lung adenocarcinoma (LUAD) is one of the most prevalent forms of cancer and continues to be associated with high mortality rates, despite recent advan...
Nuclear medicine has witnessed revolutionary progress, spurred by advances in radiopharmaceuticals, computational modeling, and artificial intelligenc...
PURPOSE OF REVIEW: Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) has been recognized as a diagnostic entity sin...
BACKGROUND AND OBJECTIVE: Accurate prediction of overall survival (OS) in patients with small cell lung cancer (SCLC) is crucial for personalized trea...
PURPOSE: Abdominopelvic soft-tissue sarcomas (AP-STS) are selectively treated with radiation therapy (RT) followed by surgery. We investigated dosimet...
KEY POINTS: TraceOrg is a web-based tool that automatically labels kidney, liver, and cysts, reporting volumes and Mayo Imaging Classification. Extern...
Rice cooking and eating quality (CEQ), a core agronomic trait tied to consumer preference and market value, is regulated by endosperm starch, protein,...
BACKGROUND AND OBJECTIVE: Accurate preoperative prediction of the International Association for the Study of Lung Cancer (IASLC) grades is crucial for...
OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (MPM) from metastatic pleural disease (MPD) and to p...
OBJECTIVES: Given its high global mortality rate, pancreatic ductal adenocarcinoma (PDAC) remains a significant area of investigation. However, a robu...
PURPOSE: NHOC and NHOP, defined as the normalized distances from peak uptake to tumour centroid and perimeter, are novel PET/CT metrics of tumour aggr...
PURPOSE: To evaluate whether quantitative diffusion-weighted magnetic resonance imaging derived apparent diffusion coefficient (ADC) parametric values...
KEY POINTS: Proteomics analyses consistently identified nine independent protein predictors for CKD in both Chinese and European participants with typ...
Sparse-view computed tomography (SVCT) significantly reduces patient radiation exposure and accelerates data acquisition by using fewer projections fo...
As humans embark on longer and deeper missions into space, it is crucial to understand how spaceflight impacts the immune system. Decades of discoveri...
Genetic and epigenetic variation in enhancers is associated with disease susceptibility; however, linking enhancers to target genes and predicting enh...