Mehdi Damaghi | Professor- lab head
Stony Brook Hospital

Mehdi Damaghi, Professor- lab head, Stony Brook Hospital

Mehdi Damaghi is a distinguished Professor and lab head at Stony Brook Hospital, with a proven track record of excellence in the field of biotechnology and cancer innovation. With a strong background in cancer evolution and high resolution imaging of sptial biology and its big data analytics using artificial intelligence Mehdi is at the forefront of driving transformative advancements in the cancer patient healthcare.
Throughout his career, Mehdi has been dedicated to leveraging cutting-edge technologies to revolutionize patient care and treatment development strategies. His research focuses on harnessing the power of data and AI to optimize treatment strategies, improve diagnostic accuracy, and enhance overall healthcare outcomes using basic understanding of tumors eevolution and ecology. By integrating precision medicine approaches into his work, Mehdi is pioneering personalized solutions that have the potential to revolutionize the way diseases are diagnosed and treated.

As a sought-after speaker and thought leader, Mehdi has shared his insights at numerous prestigious conferences and symposiums, including BioTechX Europe 2025. His presentations are known for their innovative perspectives, practical applications, and visionary outlook on the future of cancer healthcare. With a deep commitment to collaboration and partnership, Mehdi actively engages with industry stakeholders, academic institutions, and healthcare professionals to drive interdisciplinary innovation and foster a culture of continuous learning and improvement.

Mehdi Damaghi's expertise, passion for innovation, and dedication to advancing the frontiers of cancer biotechnology make him a valuable asset to any organization or initiative seeking to make a meaningful impact in the healthcare landscape. His visionary approach and collaborative spirit position him as a key player in shaping the future of healthcare through data-driven insights, AI technologies, and precision medicine solutions.

Appearances:



BioTechX Europe Day 1 @ 17:25

From Data to Diagnosis: The Power of Multi-Omics in Clinical Research

BioTechX Europe Day 2 @ 11:45

Chair's remarks

BioTechX Europe Day 2 @ 13:10

Single cell barcoding technology to design treatment for ovarian cancer

BioTechX Europe Day 2 @ 17:30

Unravelling the Impact of AI and Machine Learning in Image Analysis: Advancements, Challenges, and Future Directions in Pharma and Healthcare Industries

last published: 02/Jul/25 12:56 GMT

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