The new artificial intelligence-based software and robot-assisted biopsy technology helps providers catch and treat lung cancer in its earliest stages.

The researchers developed an AI model to design peptides (short proteins) that are targeted by enzymes called proteases, ...

The monarch was diagnosed with cancer in 2024. King Charles III announced in a video message Friday that he will be reducing his cancer treatment schedule in the new year, citing his early diagnosis, ...

Abstract: Lung cancer is one of the deadliest malignancies worldwide, demanding swift and accurate diagnosis for effective treatment. Traditional screening methods rely on manual interpretation of ...

Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...

I have selected this review as my Editor’s Pick for this issue of EMJ Respiratory because there is a growing interest in the integration of AI into healthcare, with machine learning playing a pivotal ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Objective: This study explores the feasibility of using breathomic biomarkers analyzed by machine learning as a non-invasive diagnostic tool to differentiate between benign and malignant thoracic ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

OAK BROOK, Ill. – 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 ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...