KAIST researchers have developed a way to reprogram immune cells already inside tumors into cancer-killing machines. A drug ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

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, ...

In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...

Current USPSTF guidelines exclude two-thirds of patients, disproportionately women, and never-smokers. Age-based screening improved lung cancer detection, demonstrated cost-effectiveness vs existing ...

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 ...

Jericho has the most semi-finalist students in the country - with a total of 10. Long Island had 33 - the most for any region ...

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 ...