In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables label-free, mechanophenotyping of macrophages at single-cell resolution.
Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free survival prediction and enable personalized treatment in locally advanced cervical ...
This study introduces a framework that integrates orthogonal operational amplifiers into standardized biological processes to enable efficient signal decomposition and amplification.
This study offers a mechanistic framework for evaluating long‑term nicotine exposure and inspire the future development of "non‑addictive cholinergic metabolic modulators".
