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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.
This workshop aims to explore the integration of AI with nano-biosensors for ultra-sensitive diagnostics. Participants will learn how AI can enhance the performance of nano-biosensors in detecting biomolecules with high sensitivity and specificity, transforming diagnostic techniques across healthcare and environmental sectors.
Professional Certification Program
Day 1 – Introduction to AI + Nano-Biosensors
Day 2 – Designing AI-Integrated Biosensing Systems
Day 3 – Commercial & Clinical Applications
09/27/2025
IST 7:00 PM
09/27/2025 – 09/29/2025
IST 8:00 PM
Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . .
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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