Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the ...
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
Share on Pinterest A new AI tool may help predict disease risk using brain MRI datasets. Image credit: Tunvarat Pruksachat/Getty Images The wellness of the brain plays an important role in living a ...
St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
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New AI-based analysis method can accurately classify and monitor brain tumors
An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
Liquid biopsy encompasses a variety of molecular approaches to detect circulating tumor DNA (ctDNA) and has become a powerful tool in the diagnosis and treatment of solid tumors. Current applications ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...
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