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Background and purpose: Dose summation in thoracic reirradiation is challenging due to anatomical changes and limitations of rigid image registration. Deformable image registration offers improved accuracy but requires c...

Abstract Integration of Artificial Intelligence (AI), particularly deep learning, into medical imaging represents a profound shift in diagnostic medicine, moving from purely descriptive analysis to advanced predictive an...

It is well known that Synthetic Aperture Radar (SAR) is capable of imaging bathymetric features by detecting changes in sea surface roughness associated with bathymetry-induced surface current modulations. The high dynam...

Abstract Ewing sarcoma (EWS), a rare pediatric bone tumor, poses unique therapeutic challenges due to its distinct microenvironment and limited molecular understanding. To gain a comprehensive molecular and functional vi...

ABSTRACT Background and Aims Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), is transforming healthcare by enabling improved diagnosis, prognosis, and personalized treatments. How...

Abstract The electrical structure of oceanic lithosphere and underlying asthenosphere provides crucial constraints on upper mantle dynamics, complementing seismic observations to distinguish between competing mechanisms ...

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. Over the past three decades, percutaneous coronary intervention (PCI) has evolved from a anatomical revascularization technique ...

Abstract Assessing plant diversity using remote sensing, including airborne imaging spectroscopy, shows promise for large‐scale biodiversity monitoring in landscape restoration and conservation. Enriching plantations w...

Abstract Understanding the kinetics of nanoparticle vaccine drainage to the lymph nodes and their residence time in these tissues is critical in vaccine development. Evaluating these parameters using conventional techniq...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Hepatocellular carcinoma (HCC) remains the dominant histologic subtype of primary liver cancer and a major cause of cancer mortality worldwide. Its epidemiology continues to evolve, with metabolic dysfunction-associated ...

Pulmonary hypertension (PH) is a severe cardiopulmonary disorder characterized by pulmonary vascular remodeling, which leads to increased pulmonary vascular resistance (PVR), right ventricular (RV) hypertrophy, and ultim...

ABSTRACT Background and Aims The therapeutic limitations of conventional cancer treatment currently deployed are driving the development and creation of new nano‐drugs. Prostate cancer (PCa) is a prevalent clinical pro...

Background: Scapulohumeral rhythm (SHR) is a key metric for evaluating shoulder joint function. Current established methods of SHR analysis involve 3-dimensional (3D) to 2-dimensional (2D) registration, which requires si...

Abstract Background Climate change has caused more frequent and severe extreme weather events, threatening health system resilience worldwide. In April and May 2024, Kenya experienced unprecedented extensive floods with ...

High-quality lunar imaging is essential to terrain modeling, resource assessment, and landing navigation. However, due to the limited depth-of-field of lunar probe cameras, a single image cannot simultaneously capture cl...

Abstract Alzheimer’s disease (AD) is a prevalent and progressive neurodegenerative disease characterized by behavioral abnormalities, memory loss, and cognitive decline, presenting significant challenges for early diag...

Sarfaraz K Niazi Department of Pharmaceutical Sciences, University of Illinois, Chicago, IL, 60612, USACorrespondence: Sarfaraz K Niazi, Email sniazi3@uic.eduAbstract: Quantum technologies—quantum computing, quantum se...

Smart microscopy is transforming life sciences by automating experimental imaging workflows and enabling real-time adaptation based on feedback from images and other data streams. This shift increases throughput, improve...

Dust storms are frequent in many arid and semi-arid regions of the world; they are a significant environmental hazard that impacts human health, agriculture, transportation, and ecosystems, and their frequency and intens...

IntroductionThe United States Immunodeficiency Network (USIDNET) collects de-identified patient data from hospitals across the country to study inborn errors of immunity (IEI). The registry contains records on >6,000 pat...

Materias / palabras clave: Voxel; Statistical parametric mapping; Computer science; Artificial intelligence; Neuroimaging; Pattern recognition (psychology); Set (abstract data type); Hum; Computer vision; Neuroscience; Magnetic resonance imaging; ...

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