AI in Biomedical Research: A Hands-On Approach
Transforming Tomorrow’s Healthcare with Intelligent Biomedicine
Virtual / Online
Mentor Based
Moderate
1 Day (3 hours per day)
25 -May -2025
4:00 PM IST
About
This workshop on AI in Biomedical Research: A Hands-On Approach offers a deep dive into how AI is transforming modern medicine. Designed for students, professionals, and researchers, the program introduces core concepts of artificial intelligence and explores its practical applications across biomedical fields. Participants will begin by building a strong foundation in AI, machine learning, and deep learning with a special focus on their role in medical diagnostics.
As the workshop progresses, the focus shifts to the intersection of AI with drug discovery and personalized medicine. Topics include AI-driven target identification, genomic data analysis, and the integration of wearable technologies and virtual health assistants. Critical discussions on ethics, regulatory frameworks, and the societal impact of AI in healthcare will round out the experience, ensuring participants are equipped not just with technical skills, but also with a nuanced understanding of real-world challenges and responsibilities.
Aim
This workshop aims to introduce participants to foundational and advanced applications of AI in the biomedical sector. It provides practical exposure to AI-enabled diagnostic systems, drug discovery frameworks, and personalized healthcare tools. Participants will learn how intelligent algorithms are transforming disease detection, treatment customization, and medical research.
Workshop Objectives
- Understand AI foundations in the biomedical domain
- Apply machine learning to healthcare datasets and imaging
- Explore AI-driven drug discovery processes
- Analyze how AI supports personalized healthcare decisions
- Recognize ethical and regulatory frameworks in medical AI
Workshop Structure
Session 1: AI in Biomedicine
- AI for Medical Imaging (X-ray, CT, MRI)
- Hands-On Tools: DxGPT
Break
Session 2: AI in Biomedical science
- AI in Predictive Medicine
- Ethical, Regulatory, and Societal Impacts
- Hands-On Tools: ParaView
Intended For
- Students pursuing or holding a degree in Biomedical Engineering, Biotechnology, Computer Science, Pharmacy, Bioinformatics, or related life sciences and technology fields.
- PhD Scholars and Researchers engaged in areas such as AI in healthcare, computational drug discovery, biomedical data science, genomics, or medical diagnostics.
- Industry Professionals from healthcare, pharmaceutical R&D, bioinformatics, medical imaging, diagnostics, and AI/ML sectors looking to enhance their interdisciplinary capabilities.
- Aspiring Learners with a keen interest in applying AI, machine learning, and digital technologies to solve real-world challenges in drug discovery, diagnostics, and personalized healthcare.
Important Dates
Registration Ends
2025-05-25
Indian Standard Timing 3:00 PM
Workshop Dates
2025-05-25 to 2025-05-25
Indian Standard Timing 4:00 PM
Workshop Outcomes
- AI applications in diagnostics and drug discovery
- Build and evaluate AI models for imaging and genomic data
- Develop critical thinking around ethical AI use in health
- Translate data insights into personalized care recommendations
- Enhance employability for interdisciplinary roles in biomedical AI
Fee Structure
List of Currencies
FOR QUERIES, FEEDBACK OR ASSISTANCE
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- AI Researcher in Biomedicine
- Medical Imaging Analyst
- Drug Discovery Data Scientist
- Personalized Healthcare Technologist
- Clinical AI Deployment Strategist
- Biomedical Software Developer
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Related Courses
AI-Driven Cybersecurity
AI-Powered Digital Pathology
Cell-Based Seafood: The Future …
Sugarcane Waste to Biofuel
Recent Feedbacks In Other Workshops
The mentor was good
Thank you for a very well delivered series of seminars!
Good and efficient delivery and explanation in an easy way