From diagnosis methods to management of comorbid infections, new lung cancer protocols adaptable for various conditions ...

Non-small cell lung cancer (NSCLC) develops in lung tissues, but when it's metastatic, it has spread to distant areas of the ...

A scientific team supported in part by the National Institutes of Health (NIH) has developed a new, ultra-high-resolution ...

Ultrashort echo time (UTE) magnetic resonance imaging (MRI) produces high-resolution structural images of the lungs without the ionizing radiation risks associated with computed tomography (CT) ...

Now, a team of Northwestern Medicine scientists has developed an AI tool called iSeg that not only matches doctors in accurately outlining lung tumors on CT scans but can also identify areas that ...

BackgroundPulmonary large-cell neuroendocrine carcinoma (PLCNEC) is a rare and highly aggressive subtype of lung cancer with neuroendocrine features, typical ...

This paper presents a label-free method for distinguishing lung adenocarcinoma cells from normal cells based on the confocal Raman spectra and a support vector machine. First, confocal Raman spectra ...

An AI-assisted model developed by researchers from the University of Missouri School of Medicine and the School of Engineering can take low-quality MRI heart scans and turn them into high-quality ...

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