AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…
Diagnosing early-stage lung cancer with low-dose CT screening dramatically improves the long-term survival rate of cancer patients, a large-scale, 20-year international study shows.
Cancer has become strikingly more common in people under 50 in the past three decades, an international research team finds. The reseachers explore what this means for future death tolls.
While screening programs for several of the commonest cancers are now well established, lung cancer screening has yet to reach anywhere near the same proportion of at-risk patients.
A tiny robot which can travel deep into the lungs to detect and treat the first signs of cancer has been developed by researchers at the University of Leeds.
AI can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, a new study finds.
Assistance from an AI algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions.
Unanswered questions are hampering clinicians in their efforts to get the best out of a precision medicine approach for their patients. Speaking at the Genomics and Precision Medicine Expo in London at the end of May, cancer educator Dr Elaine Vickers said the benefits of being matched to an investigational drug remain questionable for most people with advanced cancer.
Stereotactic body radiotherapy (SBRT) is increasingly used in early-stage lung cancer. However, experts caution that ditching surgical options in favour of "SBRT-only" has serious drawbacks.
A Korean research team successfully changed the properties of carcinogenic cells in the lungs and eliminate both drug resistance and their ability to proliferate out to other areas of the body.
This summer, The European Commission launched I3lung, a new research initiative as a part of Horizon Europe, the EU’s research and innovation program. This research initiative aims to create a cutting-edge, decision-making tool to help clinicians and patients select the best lung cancer treatment based on each patient’s specific needs and circumstances.
A new study led by researchers in Barcelona has determined the protein TIMP-1 as a valuable biomarker for the progression of lung adenocarcinoma. The results open the door to new treatments.
Danish smokers bought less tobacco and more quit smoking during the Covid pandemic, new research finds. This comes as a surprise given that mental health and exercise habits waned during the lockdown.
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
A simple blood test could be a better predictor of whether cancer immunotherapy will be successful for a patient with lung cancer than an invasive tumor biopsy procedure.
Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
During a webinar, health experts and clinicians highlighted the need for urgent changes to lung cancer services across Europe to create a more cohesive and equal approach to care.
A proof of concept for a robot that can reach some of the smallest bronchial tubes in the lungs to take tissue samples or deliver cancer therapy.
