Frequency-dependent nanomechanical profiling for medical diagnosis

Area of Science:

• Nanotechnology
• Biophysics
• Medical Diagnostics

Background:

• Atomic force microscopy (AFM) is a key tool for micro/nanoscale characterization.
• AFM's potential in biology and medicine emerged in the 1990s.
• Limited adoption of AFM in current healthcare applications is observed.

Purpose of the Study:

• To investigate reasons for the low adoption of AFM in healthcare.
• To propose integrating AFM nanomechanical measurements into healthcare.
• To link AFM data with computational analysis and medical databases for disease management.

Main Methods:

• Exploration of factors limiting AFM integration in clinical settings.
• Development of a framework for frequency-dependent nanomechanical measurements.
• Conceptualization of integrated systems combining AFM, data analysis, and healthcare communication.

Main Results:

• Identified barriers to AFM's widespread clinical use.
• Proposed a strategy for incorporating nanomechanical data into healthcare.
• Highlighted the potential for AFM in diagnosing diseases with mechanical tissue changes.

Conclusions:

• AFM has significant untapped potential in medicine.
• Integrating AFM with digital health strategies can enhance diagnostics.
• This approach is suitable for diseases like cancer, lupus, arteriosclerosis, and arthritis.