Researchers from Australia and Bangladesh have developed an artificial intelligence model capable of spotting and distinguishing between multiple types of lung disease. Called LungNet, the tool ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
UBC Okanagan researchers have developed a 3D bio-printed model that closely mimics the complexity of natural lung tissue, an innovation that could transform how scientists study lung disease and ...
Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...
Lung cancer remains one of the leading causes of cancer-related deaths worldwide, making early and accurate diagnosis essential for improving patient outcomes.
Informed and shared decision-making is essential in lung cancer treatment, emphasizing clinical trial participation for advancing therapies. CheckMate 816 study showed improved overall survival with ...
Georgia Tech and Vanderbilt researchers have built the first lung-on-a-chip with a working immune system, a breakthrough with the potential to reshape how we study disease, move beyond animal testing, ...
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