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.
Scientists reported the key role of histone acetylation-regulated long noncoding RNA termed as lysosome cell death regulator (LCDR) in tumor survival, providing a potential diagnostic and therapeutic target for lung cancer.
The impact of the coronavirus pandemic on lung cancer patient care across Europe, and the contribution lung pathologists, have led to a better understanding of Covid-19, as outlined during the 33rd European Congress of Pathology, Within ‘The lung pathologist in the Covid-19 pandemic’ session, speakers detailed how the pandemic has affected patients, diagnosis and clinical trials, yet also…
New data highlights a promising new treatment for individuals with HER2-mutant non-small cell lung cancer (NSCLC).
A new study from the University of Helsinki shows that cells that are freshly isolated from lung cancers can be used to create robust drug response data. This approach can identify actionable or non-responsive treatments, illustrated by a case study in which the assay was used to guide the compassionate treatment of a patient.
Siemens Healthineers presents its second pathway for its AI-Pathway Companion at the Healthcare Information and Management Systems Society Global Health Conference 2021 (HIMSS 21). This new pathway is focused on non-small cell lung cancer, supporting personalized and standardized decision-making along the whole treatment process.
A newly targeted therapy could help millions of lung cancer patients worldwide keep their cancers from spreading, says an expert at Cleveland Clinic, on the occasion of World Lung Cancer Day. Dr. Khaled Hassan, of the Hematology and Medical Oncology Department at Cleveland Clinic, explains the concept of KRAS targeted therapy – and why the approach should not be mistaken for a cancer cure.
Final results from a study of a blood test that can detect more than 50 types of cancer have shown that it is accurate enough to be rolled out as a multi-cancer screening test among people at higher risk of the disease, including patients aged 50 years or older, without symptoms. In a paper published in the cancer journal Annals of Oncology, researchers report that the test accurately detected…
For many patients with localized lung cancer (non-small-cell lung carcinoma and small cell lung carcinoma), high-dose radiation with concurrent chemotherapy is a potential cure. Yet this treatment can cause severe, acute inflammation of the esophagus (esophagitis) in about one in five patients, requiring hospitalization and placement of a feeding tube. A team of radiation oncologists at Mass…
International genomics research led by the University of Leicester has used artificial intelligence (AI) to study an aggressive form of cancer, which could improve patient outcomes. Mesothelioma is caused by breathing asbestos particles and most commonly occurs in the linings of the lungs or abdomen. Currently, only seven per cent of people survive five years after diagnosis, with a prognosis…