Education Workshop
Education Workshop 1-1
October 14(Tue) 13:00-14:00, Rm.301+302 3F
Seonkyun Moon
(Microsoft)
Title
Preparing for the Era of AI Agents
Preparing for the Era of AI Agents
Lecture Summary
This session explores Microsoft’s perspective on the latest AI trends and the concept of Agent AI, emphasizing its potential for driving productivity innovation. It covers key industry challenges, such as data governance, organizational AI adoption, and security risks, and outlines strategies and roadmaps to prepare for the era of AI agents.
This session explores Microsoft’s perspective on the latest AI trends and the concept of Agent AI, emphasizing its potential for driving productivity innovation. It covers key industry challenges, such as data governance, organizational AI adoption, and security risks, and outlines strategies and roadmaps to prepare for the era of AI agents.
Education Workshop 1-2
October 14(Tue) 14:00-15:00, Rm.301+302 3F
Sanggeun Lee
(Microsoft)
Title
Innovate with AI Apps and Agents
Innovate with AI Apps and Agents
Lecture Summary
This session introduces the concept and evolution of AI agents, focusing on their real-world applications in healthcare. It highlights Microsoft Azure's multimodal AI technologies that support clinical workflows,patient care, and medical research by acting as intelligent collaborators beyond simple automation.
This session introduces the concept and evolution of AI agents, focusing on their real-world applications in healthcare. It highlights Microsoft Azure's multimodal AI technologies that support clinical workflows,patient care, and medical research by acting as intelligent collaborators beyond simple automation.
Education Workshop 1-3
October 14(Tue) 15:10-17:10, Rm.301+302 3F
Jeongbin Park
(Pusan University)
Title
How to Build In-House Linux Server Environments for AI x Bio
How to Build In-House Linux Server Environments for AI x Bio
Lecture Summary
This session explores the role of the reprogramming gene LIN-28 in human embryonic stem cells (HESCs). Through manipulation of LIN-28 expression, the study reveals its influence on cell differentiation, particularly toward extraembryonic endoderm, while indicating that LIN-28 is not essential for self-renewal. The findings offer insight into the gene’s regulatory function in early development.
This session explores the role of the reprogramming gene LIN-28 in human embryonic stem cells (HESCs). Through manipulation of LIN-28 expression, the study reveals its influence on cell differentiation, particularly toward extraembryonic endoderm, while indicating that LIN-28 is not essential for self-renewal. The findings offer insight into the gene’s regulatory function in early development.
Education Workshop 2-1
October 14(Tue) 13:00-16:10, Rm.304+305 3F
Taehyeong Kim
(Bionexus)
Title
AI as a Cooperative Scientist : A Hands-on Integrated Analysis Using Multi-Agent Systems and the UK Biobank
AI as a Cooperative Scientist : A Hands-on Integrated Analysis Using Multi-Agent Systems and the UK Biobank
Lecture Summary
This session explores the role of the reprogramming gene LIN-28 in human embryonic stem cells (HESCs). Through manipulation of LIN-28 expression, the study reveals its influence on cell differentiation, particularly toward extraembryonic endoderm, while indicating that LIN-28 is not essential for self-renewal. The findings offer insight into the gene’s regulatory function in early development.
This session explores the role of the reprogramming gene LIN-28 in human embryonic stem cells (HESCs). Through manipulation of LIN-28 expression, the study reveals its influence on cell differentiation, particularly toward extraembryonic endoderm, while indicating that LIN-28 is not essential for self-renewal. The findings offer insight into the gene’s regulatory function in early development.
Education Workshop 2-2
October 14(Tue) 16:10-17:10, Rm.304+305 3F
Byounggook Cho
(Cedars-Sinai Medical Center)
Title
No more coding: Agentic-AI for single cell RNAseq data analysis (From hypothesis generation to language based data analysis)
No more coding: Agentic-AI for single cell RNAseq data analysis (From hypothesis generation to language based data analysis)
Lecture Summary
This session introduces AI as a cooperative scientist through multi-agent systems and the UK Biobank.
By leveraging Agent RAG for hypothesis generation and a secure analysis platform for validation, the course demonstrates how to derive ideas from vast literature and test them safely with sensitive data.
Participants will practice prompt engineering, workflow design, and GUI-based validation, gaining key skills for AI-driven biomedical research.
This session introduces AI as a cooperative scientist through multi-agent systems and the UK Biobank.
By leveraging Agent RAG for hypothesis generation and a secure analysis platform for validation, the course demonstrates how to derive ideas from vast literature and test them safely with sensitive data.
Participants will practice prompt engineering, workflow design, and GUI-based validation, gaining key skills for AI-driven biomedical research.
