東京大学医科学研究所

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学友会セミナー

学友会セミナー:2019年2月14日

開催日時: 2019年2月14日 17:00 ~ 18:00
開催場所: 東京大学医科学研究所 講堂
講師: Yu Shyr
所属: Harold L. Moses Chair in Cancer Research Chair, Department of Biostatistics Director, Vanderbilt Center for Quantitative Sciences Director, Vanderbilt Technologies for Advanced Genomics Analysis and Research Design Professor of Biostatistics, Biomedical Informatics, Cancer Biology, and Health Policy Vanderbilt University Medical Center
演題: Big Data, Smart Data, and Actionable Data:
Shaping the Future of Precision Medicine and Healthcare
概要:

The key concepts of precision medicine are prevention and treatment strategies that take individual molecular profile and clinical information into account. Single-cell next-generation sequencing technologies (NGS), liquid biopsy for circulating tumor DNA (ctDNA) analysis, microbiomics, radiomics, and other types of high-throughput assays have exploded in popularity in recent years, thanks to their ability to produce an enormous volume of data quickly and at relatively low cost. The emergence of these big data has advanced the goals of precision medicine; however, across the entire continuum of big data capture and utilization, many more challenges lie ahead—from analysis of high-throughput biomarkers to maximum exploitation of the electronic health record (EHR), to the ultimate goal of clinical guidance based on a patient’s genome.
In recent years, almost all top biomedical journals have published major findings using advanced data science technologies, including complex statistical modeling, machine learning, and AI. Interpreting these results for patients and applying them for clinical guidance, however, remain significant challenges.
In this presentation, I will offer some perspectives on the changing landscape for precision medicine, including the road map for choosing between statistical modeling and machine learning; the concept of treating unstructured text as quantitative data; the need for physicians to adapt their mindset around the explosive growth in information technology; machine learning; and the AI revolution. These areas present great opportunities for medical researchers to strengthen their role in precision medicine. I will finish up with some thoughts about future medical developments, including how to design and conduct pivotal trials, pragmatic trials, and real-world evidence studies in the precision medicine era.

世話人: 〇村上 善則 (人癌病因遺伝子分野)
 武川 睦寛 (分子シグナル制御分野)