Seminar: “Modern Biotechnology and Data Analytics for Tissue Characterization”

We are glad to invite you to a seminar by Dr Dmitry V. Dylov, titled “Modern Biotechnology and Data Analytics for Tissue Characterization”

Seminar abstract:

Personalized medicine rapidly gains its recognition around the world. Nowadays, physicians and biomedical researchers routinely rely on genetic analysis, histo- and immuno- pathology, various -omics technologies, and biomarker assays. Combined with multiplexed imaging and conventional radiology, these tests instigated rogue waves of data, effectively bringing a rather old field of data mining to its resurgence. The personalized medicine era has become the era of Big Data and Artificial Intelligence.

In this talk we will specifically focus on tissue characterization needs in personalized medicine and will discuss synergy of instrumentation and data-intensive analytics that can assist diagnosticians and surgeons in carrying out their duties. In particular, we will review: advances in multiplexed pathology (applied to neurodegenerative and cancerous tissues);   a new biopsy quality assessment approach for interventional radiologists; and a new platform for visualization of specific tissue types during surgeries in-vivo (such as nerves and vasculature). The seminar will be concluded by emphasizing technological gaps in the field and the matching innovation opportunities.

Speaker introduction:   


Dr. Dmitry V. Dylov earned his Ph.D. degree in Electrical Engineering at Princeton University (Princeton, NJ, USA) in 2010, and M.Sc. degree in Applied Physics and Mathematics at Moscow Institute of Physics and Technology (Moscow, Russia) in 2006.

 He is currently holding a position of Lead Physicist at GE Global Research Center (Niskayuna, NY, USA), where he has been leading a variety of projects in biomedical optics, biotech systems, and big-data analytics. Dr. Dylov’s innovation record includes IP contributions for GE Healthcare, as well as foundation of two biotech spin-off companies which currently undergo clinical trials.

In addition to technological research, Dr. Dylov has established a new theoretical and computational paradigm for treating noise in imaging systems, resulting in impactful publications in reputable journals, such as Physical Review Letters and Nature Photonics. His total career record includes 32 peer-reviewed publications, 15 patents, and 72 invited and contributed talks. Dr. Dylov represents the editorial board of Optics and Photonics News, where he has been a guest editor. He has served as an avid scientific reviewer and an advocate for educational outreach within SPIE, OSA, APS, and IEEE societies.

If you like to participate and for further information or questions, please Liliya Abaimova.

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