(Nasdaq: BDSX), a leading diagnostics solutions company, announced the publication of the largest lung nodule biomarker clinical validation study ever conducted. This milestone strengthens the ...
Minimally invasive technology enables earlier detection and faster treatment of lung cancer Broward Health Medical Center announced the acquisition of the Ionâ„¢ Endoluminal System. This ...
When Dan Hannon, 72, received guidance to have part of a lung taken out whether nodules were cancerous or not, he wanted a second opinion to see if he would indeed live the rest of his life without a ...
Imagine you go to the healthcare provider because you have a bad cough, or maybe you fell and hurt your ribs.
Inside a mobile lab, Our Lady of the Lake Regional Medical Center is showcasing the robotic technology its surgeons and doctors are using to detect and treat lung cancer.
Taryne A. Imai, MD, found herself at a professional crossroads in 2022. She had been working for seven years as a thoracic surgeon, most recently as Clinical Chief of Thoracic Surgery at Cedars-Sinai ...
It can be surprising to learn that lung cancer can develop in people who have never smoked. In fact, up to 20% of lung cancers occur in people without a history of smoking. While smoking remains the ...
OXFORD, England, Feb. 26, 2026 /PRNewswire/ -- Optellum, the leading AI-enabled solution for earlier lung cancer detection, is thrilled to announce that it has received Therapeutic Goods ...
Abstract: Recent advances in deep learning (DL) have shown promising results in the identification of malignant lung nodules from computed tomography (CT) scans. However, conventional DL models ...
Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer, is a form of malignant pulmonary nodule that requires clinical differentiation from benign pulmonary nodules (BPN).
Abstract: Lung cancer is among the top causes of death in the world and the timely detection of the lung nodules is key in enhancing patient outcomes. The paper introduces a computer-aided innovative ...