A team led by investigators at the Mass General Brigham Cancer Institute has discovered that a particular marker on tumor ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
The researchers developed an AI model to design peptides (short proteins) that are targeted by enzymes called proteases, ...
In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...
Abstract: Lung cancer is very common and most dangerous among all cancers because of its quick progression and late diagnosis. Treatment results and patient survival rates are greatly enhanced by ...
Objective: To develop a differential diagnostic prediction model for distinguishing large opacities in pneumoconiosis from peripheral lung cancer based on CT radiomics. Results: A total of 108 ...
Next-generation metabolomics and AI technology supports the 2026 - 2035 Pan-Canadian Lung Cancer Action Plan’s call to expand equitable access to life-saving early diagnosis Vancouver, British ...
Jericho has the most semi-finalist students in the country - with a total of 10. Long Island had 33 - the most for any region ...
Abstract: Lung cancer continues to be a leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis. Non-invasive diagnostic techniques, especially those based on exhaled ...
Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...
I have selected this review as my Editor’s Pick for this issue of EMJ Respiratory because there is a growing interest in the integration of AI into healthcare, with machine learning playing a pivotal ...
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