SimBioSys®, an AI-driven precision medicine company revolutionizing how cancer is understood and treated, today announced the ...
The dogs were trained to detect the chemical signatures of hemangiosarcoma, a common and aggressive cancer typically ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
A mysterious RNA molecule found only in breast cancer led researchers on a six-year hunt that uncovered an entire hidden layer of cancer biology. The story began with T3p, a tiny RNA molecule found in ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
In a move that could redefine the landscape of women’s preventative health, medical technology pioneer iSono Health announced ...
In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
A blood-based colorectal cancer (CRC) screening test, SimpleScreen™, has shown a significant leap in performance, demonstrating high sensitivity for both malignant and advanced precancerous lesions ...
Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...
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