A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Convolutional neural networks (CNNs) trained on lung ultrasound (LUS) images detected interstitial lung disease (ILD) in patients with systemic sclerosis and idiopathic inflammatory myopathy, showing ...

Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before diagnosis. Powered by AI and validated across global datasets, the breakthrough ...

Researchers have identified a 14-protein blood signature that may predict lung cancer risk up to five years before diagnosis, ...

As we age, our cells acquire cancer-causing mutations, but mutations alone are rarely enough to start a tumor. An environmental trigger, such as exposure to air pollution from sources such as ...

Explore whether Canakinumab can prevent lung cancer, focusing on new research and the complexities of medical interpretations ...

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...