IASLC to host 5th Latin American Conference on Lung Cancer in Brazil

NewsGuard 100/100 Score
The International Association for the Study of Lung Cancer (IASLC) is hosting the 5th Latin American Conference on Lung Cancer July 25 to 27 in Rio de Janeiro, Brazil. Nearly 1,000 medical professionals will gather to discuss the latest lung cancer research and treatment.

Lung cancer kills more than 1.5 million people each year worldwide. It is also among the most challenging cancers to treat. Yet, there is excitement and hope, thanks to new advances which are improving the chances of better outcomes.

The Latin American Conference will highlight the latest in lung cancer research including: prevention, early detection, staging, CT screening, mesothelioma, non-small cell lung cancer, tobacco use and supportive care. Experts from around the globe will be on hand to comment on all of these topics.

Lung cancer is often associated with the use of tobacco. Prior to the official kick-off of the conference, the Latin American Tobacco Control Forum will be held Wednesday, July 25. There will be an outstanding number of highly experienced experts in tobacco control, who will discuss the advances and challenges specific to Latin America.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
MONET: New AI tool enhances medical imaging with deep learning and text analysis