Artificial Intelligence, Machine Learning in Health Care and Clinical Use
Transforming Healthcare with the Power of AI and Machine Learning
Virtual (Google Meet)
Mentor Based
Moderate
3 Days (1.5 hours per day)
1 -February -2025
8:00 PM IST
About
This 3-day workshop focuses on leveraging AI and Machine Learning techniques in healthcare and clinical sciences. Machine learning has revolutionized multiple domains, and its application in healthcare can significantly enhance clinical decision-making processes. Participants will explore foundational concepts, algorithms, and tools for building AI/ML models, focusing on supervised and unsupervised learning techniques. Real-world applications like predictive models for diabetes will be a key highlight.
Participants will gain hands-on experience with R programming and Bioconductor packages, which are essential tools for computational statistics and bioinformatics. By the end of the workshop, attendees will be equipped to apply AI/ML algorithms in healthcare scenarios, critically evaluate model performance, and understand the ethical implications of AI in clinical use.
Aim
The aim is to impact the decision-making process in the clinical context using AI/ML
Workshop Objectives
- To find the algorithm that best classifies to predict the diabetes and evaluate the best algorithm.
- To help clinicians make better decisions by providing them with insights derived from vast datasets.
Workshop Structure
Day 1: Introduction to AI/ML and Its Foundational Principles
- Basics of Artificial Intelligence, Machine Learning, Deep Learning.
- Supervised Leaning, Unsupervised Learning Naive Bayes, Decision Tree, and Random Forest
Day 2: R Studio and Bioconductor Packages
- R and Bioconductor packages installation
- Examples of AI/ML for Health Care and Clinical Use
Day 3: Application of AI/ML in Healthcare and Clinical Use
- Diabetes Prediction model based on AI/ML Algorithm
- Model evaluation and validation
Participant’s Eligibility
- Undergraduate or postgraduate degree in Computer Science, Data Science, Life Sciences, Bioinformatics, or related fields.
- Clinicians, Data Scientists, Healthcare Analysts, or IT professionals working in the healthcare domain.
- Individuals with a keen interest in AI/ML and healthcare innovation.
Important Dates
Registration Ends
2025-02-01
Indian Standard Timing 7:00 PM
Workshop Dates
2025-02-01 to 2025-02-03
Indian Standard Timing 8:00 PM
Workshop Outcomes
- Understand foundational concepts of AI/ML in healthcare.
- Gain hands-on experience with R and Bioconductor packages.
- Build and validate a diabetes prediction model.
- Learn to evaluate the effectiveness of AI/ML models.
- Discuss ethical considerations in deploying AI/ML in healthcare.
Mentor Profile
Designation: Professor and Head
Affiliation: Shalom New Life College, Bengaluru, Karnataka
Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.
Fee Structure
Student
INR. 1399
USD. 50
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Academician / Faculty
INR. 2199
USD. 60
Industry Professional
INR. 2699
USD. 85
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- AI/ML Specialist in healthcare industries.
- Clinical Data Analyst or Biostatistician.
- Research Scientist in Biomedical Informatics.
- Health Tech Consultant.
- Bioinformatics Engineer.
- Product Manager in AI-driven healthcare solutions.
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great knowledge about topic.