Скачать или смотреть Smart Biosensors + AI | 99.5% Accurate Disease Detection

Early disease detection can save millions of lives.
This video explains our research on a biosensor + AI-based classification system that can detect and classify arboviruses like Dengue, Malaria, Zika, and Chikungunya with 99.5% accuracy.
Key Highlights:

Microcantilever biosensor arrays for detecting antigen–antibody interactions

Real-time data collection using ATmega328P microcontroller

Machine learning models: Decision Tree, Naive Bayes, Linear Regression

COMSOL Multiphysics simulation validation

Experimental accuracy: 99.5%
Impact:
This technology shows how AI + Biosensors can revolutionize healthcare with faster, smarter, and more affordable diagnostics.

📌 Chapters (optional if you want timestamps):
0:00 – Introduction
0:30 – The problem: Arboviruses & challenges
1:15 – Biosensor design & working principle
2:20 – COMSOL simulation & validation
3:10 – Machine Learning models
4:00 – Results & 99.5% accuracy
4:45 – Real-world impact
5:20 – Conclusion

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#Biosensors #AI #HealthcareInnovation #DiseaseDetection #MachineLearning #ResearchToImpact