Fusion of Raman and FTIR Spectroscopy Data Uncovers Physiological Changes Associated with Lung Cancer.

Due to the high mortality rate, more effective non-invasive diagnostic methods are still needed for lung cancer, the most common cause of cancer-related death worldwide. In this study, the integration of Raman and Fourier-transform infrared spectroscopy with advanced data-fusion techniques is investigated to improve the detection of lung cancer from human blood plasma samples. A high statistical significance was found for important protein-related oscillations, which are crucial for differentiating between lung cancer patients and healthy controls.

Power of Light: Raman Spectroscopy and Machine Learning for the Detection of Lung Cancer.

Lung cancer is the leading cause of cancer-related deaths worldwide, emphasizing the urgent need for reliable and efficient diagnostic methods. Conventional approaches often involve invasive procedures and can be time-consuming and costly, thereby delaying the effective treatment. The current study explores the potential of Raman spectroscopy, as a promising noninvasive technique, by analyzing human blood plasma samples from lung cancer patients and healthy controls.

Intratracheal administration of cross-linked water-soluble acrylic acid polymer is associated with inducible bronchi-related lymphoid tissue formation and allergic inflammation.

In a Japanese chemical factory, lung diseases such as pneumoconiosis have been reported among workers handling cross-linked water-soluble acrylic acid polymers (CWAAP). Our previous study reported that a single intratracheal administration of CWAAP induces acute inflammation and fibrosis. In this study, we investigated the effects of multiple intratracheal administrations of CWAAP on inflammatory responses and pulmonary fibrosis along with inducible bronchus-associated lymphoid tissues (iBALT) formation, which is involved in allergic inflammation.