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How AI is speeding up cancer research
Kivo reports AI accelerates cancer research by analyzing large datasets, improving clinical trial matching, and expediting ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
Introduction: Colorectal cancer (CRC) is a common malignant tumor with high incidence and poor prognosis. Identifying effective biomarkers is crucial for its diagnosis and treatment. Methods: Gene ...
Abstract: Oral cancer remains a significant global health challenge with high mortality rates. The major cause is late recognition of oral cancer, making treatment less effective. This condition is ...
Background: Hip fractures are a major health concern in the older adults, severely impacting patients’ quality of life and straining healthcare systems. With China’s aging population, their incidence ...
A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
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