Ilya Gipp, MD, PhD

Ilya Gipp, MD, PhD

Philips

Atlanta, Georgia

Dr. Gipp received his medical degree from the Russian State Medical University and his doctorate in neuroradiology from the Moscow State University of Medicine and Dentistry. In his role as medical officer, he drives company strategy for oncology and supports marketing, research, and development teams. He is an oncology subject matter expert and has experience in executive sales, product and field marketing, and clinical science. Before joining Philips in 2005, Dr. Gipp was a practicing physician and chair of a large imaging department. He has over 50 publications in peer-reviewed journals related to diagnostic imaging, oncology, and healthcare management. Dr. Gipp is passionate about hybridization in clinical and technical fields and enabling delivery of personalized care.

Disclosures:

Dr. Gipp is an employee of Philips.

Talks by Ilya Gipp, MD, PhD

Personalization of Prostate Cancer Care Through Integration of Data

In this presentation, given during the 2021 Virtual Global Summit on Precision Diagnosis and Treatment of Prostate Cancer and supported by Philips, Ilya Gipp, MD, PhD, a medical officer and oncology solutions subject matter expert with Philips in Atlanta, Georgia, discusses solutions for integrating data to personalize prostate cancer care. He first describes positive trends and challenges in prostate cancer care, noting that data silos across service lines and service providers remain a key barrier to effective and efficient treatment. Dr. Gipp describes the prostate cancer service line as beginning with early detection, progressing to diagnosis and staging, treatment selection, therapy planning and deployment, and assessment and follow-up. He then focuses on the actionability and insightfulness of information, and how to synthesize data throughout the cancer care pathway using magnetic resonance imaging (MRI). Dr. Gipp remarks that while MRI is often used in diagnosis, to benefit from the data, MRI must be the modality used at all points from screening to post-therapy assessment. For example, MRI can generate images similar to CT scans for radiation dose planning as well as guiding dose painting to offer localized, non-uniform radiation dose distribution. He summarizes by comparing the traditional approach to cancer care with a state-of-the-art model that employs biomarker imaging, image-guided multi-modality navigated fusion biopsies, digital pathology, and focal therapies.

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