AI driven diagnostics in healthcare- innovative opportunities & insight and challenges
AI driven diagnostics in healthcare- innovative opportunities & insight and challenges
Price
500 S.R
500 S.R
Who is this course for?
This course is designed for researchers, students, and professionals in the fields of life sciences, medicine, data science, and software engineering who seek to gain a deep understanding of how to harness the power of artificial intelligence to drive innovation in biotechnology and improve health outcomes.
Location
iGene Medical Training & Research Center
Date
This course runs from July 31 th, 2025, to Aug 2th, 2025
This course aims to explore the transformative intersection between Biotechnology and Artificial Intelligence, and how this integration is reshaping the future of medicine and life sciences. Participants will delve into the fundamental principles of both fields, then move on to investigate how AI can accelerate biological discoveries, enhance drug discovery and development processes, and enable personalized healthcare solutions.
- Fundamentals of Biotechnology and Artificial Intelligence: Understand key concepts in each field.
- Big Data in Life Sciences: How to handle and analyze vast biological datasets.
- AI in Drug Discovery: Explore applications of machine learning and deep learning in identifying drug targets, molecule design, and accelerating clinical trials.
- Precision Medicine and Personalized Healthcare: How AI contributes to accurate diagnosis, targeted therapies, and individualized treatment plans based on genetic and clinical data.
- Practical AI Application: The course will include hands-on applications demonstrating how to use AI tools and techniques in biological data analysis, modeling biological processes, and interpreting results to maximize the utility of biological data.
- Challenges and Opportunities: Discuss ethical and technical challenges, as well as future opportunities in this evolving field.
This course is designed for researchers, students, and professionals in the fields of life sciences, medicine, data science, and software engineering who seek to gain a deep understanding of how to harness the power of artificial intelligence to drive innovation in biotechnology and improve health outcomes.