Raman Spectroscopy and Exosome-Based Machine Learning Predicts the Efficacy of Neoadjuvant Therapy for HER2-Positive Breast Cancer.

Early prediction of the neoadjuvant therapy efficacy for HER2-positive breast cancer is crucial for personalizing treatment and enhancing patient outcomes. Exosomes, which play a role in tumor development and treatment response, are emerging as potential biomarkers for cancer diagnosis and efficacy prediction. Despite their promise, current exosome detection and isolation methods are cumbersome and time-consuming and often yield limited purity and quantity.

The multi-dimensional impact of different sources of information on influenza vaccination of college students in China.

To explore whether/how the willingness of Chinese college students to receive the influenza vaccines in the sample is affected by different information channels. Two hundred and four volunteers were recruited to participate in an anonymous online survey. All participants were college students, mainly undergraduates (81.