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Listen "How Data is Transforming Precision Medicine | Insights from Dr. Ying Lin"
Episode Synopsis
Dr. Ying Lin, Associate Professor in the Department of Industrial and Systems Engineering at the Cullen College of Engineering, University of Houston shares valuable insights from her research, “The Future of Medical Decisions: Data-Driven Approaches to Precision Medicine.”
This episode underscores how advanced analytics and machine learning are revolutionizing healthcare by enabling more precise, timely, and personalized decisions. By integrating vast datasets - from genetic profiles and medical histories to imaging and real-time patient monitoring - these technologies empower clinicians to design individualized treatment paths tailored to each patient’s unique needs. At the same time, predictive models support real-time risk assessment in clinical settings, enhancing early diagnosis, preventing complications, and improving outcomes. Together, these data-driven approaches represent a paradigm shift in medical practice, bridging scientific discovery with everyday patient care.
Click here to explore Dr. Ying Lin’s research work:
https://www.ie.uh.edu/faculty/lin
This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com.
Disclaimer:
A. The background music used in this video is the property of its respective developer and is protected by Copyright. Although it is a free version, Business Talk, Global Management Consultancy and Deepak Bhatt do not hold the rights to this music.
B. Dr. Ying Lin generously shared profound insights from her groundbreaking research, “The Future of Medical Decisions: Data-Driven Approaches to Precision Medicine,” during her appearance on the Business Talk podcast channel. The uploaded video contains copyrighted material; therefore, any modifications to graphics, music, or the presence of the author or host are strictly prohibited.
All content is © 2025. All rights reserved.
This episode underscores how advanced analytics and machine learning are revolutionizing healthcare by enabling more precise, timely, and personalized decisions. By integrating vast datasets - from genetic profiles and medical histories to imaging and real-time patient monitoring - these technologies empower clinicians to design individualized treatment paths tailored to each patient’s unique needs. At the same time, predictive models support real-time risk assessment in clinical settings, enhancing early diagnosis, preventing complications, and improving outcomes. Together, these data-driven approaches represent a paradigm shift in medical practice, bridging scientific discovery with everyday patient care.
Click here to explore Dr. Ying Lin’s research work:
https://www.ie.uh.edu/faculty/lin
This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com.
Disclaimer:
A. The background music used in this video is the property of its respective developer and is protected by Copyright. Although it is a free version, Business Talk, Global Management Consultancy and Deepak Bhatt do not hold the rights to this music.
B. Dr. Ying Lin generously shared profound insights from her groundbreaking research, “The Future of Medical Decisions: Data-Driven Approaches to Precision Medicine,” during her appearance on the Business Talk podcast channel. The uploaded video contains copyrighted material; therefore, any modifications to graphics, music, or the presence of the author or host are strictly prohibited.
All content is © 2025. All rights reserved.
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