“The core AI model developed through this research can be adopted as the brain of a software system to be used to assist the doctors for decision-making in cancer diagnosis," added Shafiabady. "The ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

New AI-driven tool converts common histology images into detailed, multi-layered cancer markers, promising faster, more accurate diagnostics and improved patient outcomes. Study: Accelerating ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

This study introduces a novel signal amplification method induced by aggregation, which achieves specific recognition and sensitive detection of two cancer biomarkers through the rational design of ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

A groundbreaking study conducted by the University of Luebeck and the University Medical Center Schleswig-Holstein (UKSH), Campus Luebeck, in collaboration with the company Vara, has demonstrated that ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in diagnosis, classification, and ...

{image id=1352663 align=left size=large byline=true caption="The Massachusetts General Hospital, home to Mass Eye and Ear and part of the Mass General Brigham system ...

Some claim the new multi-cancer detection tests will “revolutionize” cancer screening. Others fear the “worried well” will succumb to slick marketing and subpar tests and overwhelm both primary care ...