Lung ultrasound (LUS) may be an effective screening tool for interstitial lung disease in patients with asymptomatic rheumatoid arthritis.
In a breakthrough for the advanced study of gut health, scientists have developed a 3D microscopic version of the human intestines condensed into a small chip about half the size of a five-cent coin.
Scientists uncover an enzyme that boosts cancer cell metabolism to fuel growth. The enzyme, GUK1, supports metabolism in cancer cells to help tumors grow.
The following is a summary of “Development of the pulmonary fibrosis, pulmonary vascular resistance, six minute walk distance, B-type natriuretic peptide, age (PVD-B65) risk score for patients with ...
The AI model works by examining each video frame to find important features of the lungs and assesses the order of the video ...
Imagene's AI-based multigene panel for predicting non-small cell lung cancer biomarkers from biopsy images will be combined with Tempus' real-world data.
When connected to another device, it can even model how the bone marrow communicates with other organs, like the lungs, to protect them from infections ... "All organs in the human body are complex, ...
NEW CUTTING-edge deep-learning model using lung CT imaging has shown significant potential for accurately identifying and segmenting lung tumours, according to researchers based in the USA. The ...
LOS ANGELES—January 26, 2025—As contemporary surgical practice continues to evolve, patients who undergo surgical lung volume reduction ... robust risk-adjusted models that compared patient ...
But it does – and the Tesla Model 3 is the best known. It is, famously, a fully electric car – Tesla doesn’t do petrols, diesels or even hybrids – and it’s the US brand’s smallest and ...
the presence of metastases (specifically in the liver and lung), and the absence of treatments (including surgery, radiotherapy, and chemotherapy) significantly impact patients’ prognosis, with their ...
For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...