NOV 20, 2018 07:00 AM PST

COLD-PCR technology: current status and application in liquid biopsies for cancer and prenatal diagnosis

SPONSORED BY: Perkin Elmer
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Professor and Director of the Medical Physics & Biophysics division in Radiation Oncology at Dana Farber Cancer Institute and Brigham and Women's Hospitals, Harvard Medical School
    Biography
      Dr. Makrigiorgos is a Professor and Director of the Medical Physics & Biophysics division in Radiation Oncology at Dana Farber Cancer Institute and Brigham and Women's Hospitals, Harvard Medical School. He is as ABR-certified radiation oncology physicist and he also directs his DNA technology laboratory and a radiation pre-clinical facility. His research interests include the development of novel DNA technologies for molecular diagnostics in Oncology and the detection of circulating cancer biomarkers. Funded continuously by NIH over the last 25 years, he invented several new techniques for molecular diagnostics, including Balanced-PCR, COLD-PCR and NaME-PrO. He is a Member of the Editorial Board of Clinical Chemistry and has published over 150 articles in journals including Nature Medicine, Nature Biotechnology, Nucleic Acid Research and Clinical Chemistry. He received his undergraduate degree in Physics from the University of Athens, Greece, his PhD in Medical Physics from the University of Leeds, UK and his postdoctoral training in radiation biology from Harvard Medical School, Boston.

    Abstract:

    DATE: November 20, 2018
    TIME: 07:00 PST

    Since its original development (2008) COLD-PCR has been used by several groups for increasing the sensitivity of mutation detection in different settings including cancer diagnostics and prenatal screening. This webinar will review the principle and basic improvements in the technology over the years and will describe envisioned clinical applications in liquid biopsies.

    Learning Objectives:

    • Learn about COLD-PCR principles
    • Understand COLD-PCR application in DNA diagnostics
    • Understand the comparison with other technologies

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