The FDA Center for Drug Evaluation and Research has accepted a letter of intent for the first biomarker for idiopathic pulmonary fibrosis into its Biomarker Qualification Program, according to a press ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Researchers at the Francis Crick Institute in the UK have developed an advanced 'lung-on-a-chip' model using stem cells derived from a single individual, enabling scientists to study how a person’s ...

A small number of cancer cells with the ability to change their identities and behaviors appear to be a key driver of cancer ...

A small subpopulation of highly plastic cancer cells has been found to be for cancer progression and treatment resistance.

A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...

The breakthrough comes amid global efforts to develop alternatives to animal testing and advance personalized medicine, which considers individual differences in disease response and treatment outcome ...

An international team confirms in a pioneering phase 3 clinical trial the decisive role of the time of day on the success of anti-tumour immunotherapies. Huang, Z., Zeng, L., Ruan, Z. et al.

Lung cancer varies widely from patient to patient, and that diversity makes it hard to find effective treatments. Researchers ...

Chronic lung infections pose a disproportionate threat to older adults, yet the biological mechanisms behind age-specific vulnerability remain poorly understood. A major barrier has been the lack of ...

In A Nutshell Johns Hopkins researchers developed a blood test that catches 81% of stage IA lung cancers (the earliest, most ...

By profiling gene expression in colon cancer cell clones, researchers identified signatures linked to metastatic risk and ...