AI tools – Biofilms and Healthcare Associated Infections (HCAI)
Harnessing Intelligence and Innovation to Defeat Hospital Biofilms
About This Course
This 3-day international workshop focuses on tackling hospital-acquired infections by integrating artificial intelligence and smart surface technologies. Participants will explore hospital biofilm risks, build AI-driven risk prediction models, and discover innovative antimicrobial surfaces and biosensors for real-time detection and prevention. Ideal for healthcare professionals, microbiologists, biomedical engineers, and infection control teams seeking modern, tech-enabled solutions.
Aim
To empower participants with AI tools and smart surface strategies to predict, detect, and manage hospital biofilm risks, combining clinical insights, machine learning models, and next-gen antimicrobial technologies.
Workshop Objectives
- To introduce the concept and clinical impact of hospital-acquired biofilms
- To identify key risk factors and high-risk zones for biofilm development in healthcare settings
- To provide foundational knowledge of AI and ML techniques for infection risk prediction
- To train participants in building and interpreting AI models for hospital data
- To explore the design and application of smart antimicrobial surfaces and biosensors
- To discuss integrated approaches combining AI, surface technology, and infection control protocols
- To encourage research and innovation in biofilm prevention and healthcare hygiene
Workshop Structure
Day 1: Understanding the Enemy – Hospital Biofilms & Risk Factors
- Introduction to Biofilms in Clinical Environments
- Biofilm-Prone Zones: ICU, OT, Catheters, Ventilators, Wounds
- Factors Driving Biofilm Formation in Hospitals
- Introduction to AI Concepts for Risk Prediction
- Case Studies: Real-world biofilm outbreaks in hospital units
- Q&A and Discussion
Day 2: AI-Powered Risk Prediction Models for Hospital Settings
- Machine Learning Basics for Healthcare Professionals
- AI Pipeline: From Hospital Data Collection to Risk Scores
- Predicting Infection Hotspots Using AI Models (Logistic Regression, Random Forests, etc.)
- Using AI Dashboards for Early Detection & Decision Support
- Demo: How to interpret AI-generated risk maps of hospital wards
- Ethical, Legal, and Data Privacy Considerations
- Q&A and Hands-on Tools Demo (Optional)
Day 3: Smart Surface Strategies & Integrated Biofilm Management
- Introduction to Smart Antimicrobial Surfaces & Nano-coatings
- Surface-Integrated Biosensors for Early Biofilm Detection
- AI-Linked Responsive Surfaces: Concept & Prototypes
- Engineering Self-Sterilizing & Stimuli-Responsive Surfaces
- Integrated Strategy: Combining AI, Surface Design & Cleaning Protocols
- Workshop Wrap-Up & Roadmap for Research or Implementation
Who Should Enrol?
- Healthcare professionals and infection control specialists
- Microbiologists and clinical researchers
- Biomedical and bioengineering students
- AI/ML practitioners in healthcare domains
- Hospital administrators and quality managers
- Postgraduate and PhD scholars in life sciences, medicine, and engineering
- Professionals working in medical device or smart surface development
Important Dates
Registration Ends
10/07/2025
IST 7:00 PM
Workshop Dates
10/10/2025 – 10/12/2025
IST 8:00 PM
Workshop Outcomes
- Understand the formation and risks of hospital-acquired biofilms
- Learn AI-based methods to predict infection-prone zones in hospitals
- Gain skills in using AI dashboards and models for clinical data
- Explore smart surface technologies and responsive antimicrobial coatings
- Develop integrated strategies combining AI, biosensors, and cleaning protocols
- Interpret real-world case studies and AI-generated risk maps
- Build foundational knowledge for R&D or implementation in healthcare settings
- Receive an e-certificate and post-workshop resource access
Fee Structure
Student Fee
₹1399 | $50
Ph.D. Scholar / Researcher Fee
₹1699 | $60
Academician / Faculty Fee
₹2199 | $70
Industry Professional Fee
₹2699 | $80
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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