PhD Studentship: Using Machine Learning To Evaluate Atomic Force Microscopy Nanoindentation Data

The University of Southampton is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.

We have developed a new method based on atomic force microscopy (AFM) named indentation-type atomic force microscopy (IT‑AFM), suitable for diagnostics of osteoarthritis, cancer, and atherosclerosis. The method represents a breakthrough in diagnostics, and therapy, and allows for the diagnosis of structural and functional changes in tissue‑related conditions, at the nanometre scale. We have published a paper in Bioengineering entitled “The Revolution in Breast Cancer Diagnostics: From Visual Inspection of Histopathology Slides to Using Desktop Tissue Analysers for Automated Nanomechanical Profiling of ...