Journal: Computational and Structural Biotechnology Journal

Article Title: Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis

doi: 10.1016/j.csbj.2024.10.006

Figure Lengend Snippet: Application of ML and AFM as biomarkers of cancer diagnosis or prognosis.

Article Snippet: Hui et al. , Detection of mesenchymal-to-epithelial transition (MET) on invasive non-small cell lung cancer cells by measuring the range of oscillations of the cell surface over time , Surface undulations of cells undergoing MET have two distinct peaks. Lung cancer cells could be identified with > 90 % accuracy and circulating tumour cells with > 80 % accuracy based on these undulations , JPK Nanowizard II AFM with a Zeiss AxioObserver and fluid-cell mounted cantilever (Microlevers, Veeco); 200 nm bovine serum albumin-coated polystyrene tip held in position for 4 h on sample and undulations recorded , Long short-term memory recurrent neural network.

Techniques: Biomarker Discovery, Diagnostic Assay, Plasmid Preparation, Membrane, Inverted Microscopy