Prostate cancer risk prediction remains challenged by the inability to reliably distinguish indolent from aggressive disease, leading to overtreatment or undertreatment. Conventional approaches based ...
Cardiac MRI images are vital in diagnosing a range of heart diseases, yet standard solutions frequently struggle with inadequate region delineation, confusion among similar pathologies, and opaque dec...
Purpose Cerebral microbleeds (CMBs) are critical imaging biomarkers for small vessel disease, but detection remains challenging due to small lesion size, variable MRI appearance, and annotation burden...
Supply chain carbon emissions account for over 80% of greenhouse gas output in most consumer industries, yet the operational link between demand forecasting accuracy and downstream environmental impac...
Nitrogen oxide (NOx) emissions from heavy-duty vehicles pose significant environmental and health risks, especially in urban regions with high traffic density. This study presents a comparative multi-...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
The increasing demand for personalized skincare solutions highlights a significant gap: many consumers struggle to findsuitable products without professional guidance. While the commercial potential f...
Autism diagnosis lacks objective context-specific neurobiological markers, as traditional structural and resting-state neuroimaging fails to capture the dynamic social-cognitive processing differences...
Background: Viral pneumonia (VP) is a common complication in patients with hematologic malignancies (HM). This study aimed to construct and validate an interpretable prognostic prediction model for VP...
Background and Objective: Chronic obstructive pulmonary disease (COPD) is a widespread and severely disabling respiratory disorder that places a substantial burden on global healthcare systems. Precis...
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