Nano-biosensors have emerged as powerful tools for detecting biomolecules at extremely low concentrations, opening new avenues for early diagnosis and personalized medicine. By incorporating AI into these sensors, their ability to detect subtle biological markers can be significantly improved, enabling quicker and more accurate diagnoses. The synergy of AI with nano-biosensors enhances their predictive power and operational efficiency, making them ideal for a wide range of diagnostic applications.
This workshop will cover the fundamentals of nano-biosensors, their application in diagnostics, and how AI models can optimize their design and functionality. Participants will also gain hands-on experience with AI techniques to analyze sensor data and improve diagnostic sensitivity. Case studies will focus on the use of these technologies in detecting diseases like cancer, diabetes, and infectious diseases.
