• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Cancer and Clinical Oncology >Future of Medical Research in Rare Diseases and Cancers: Shift from Pharma to Biotech and the Golden Age of Medical Advancement
【24h】

Future of Medical Research in Rare Diseases and Cancers: Shift from Pharma to Biotech and the Golden Age of Medical Advancement

机译：罕见疾病和癌症的医学研究的未来：从药物到生物技术的转变和医学进步的黄金时代

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The objective of the paper is to elucidate how interconnected biological systems can be better mapped and understood using the rapidly growing area of Big Data. We can harness network efficiencies by analyzing diverse medical data and probe how we can effectively lower the economic cost of finding cures for rare diseases. Most rare diseases are due to genetic abnormalities, many forms of cancers develop due to genetic mutations. Finding cures for rare diseases requires us to understand the biology and biological processes of the human body. In this paper, we explore what the historical shift of focus from pharmacology to biotechnology means for accelerating biomedical solutions. With biotechnology playing a leading role in the field of medical research, we explore how network efficiencies can be harnessed by strengthening the existing knowledge base. Studying rare or orphan diseases provides rich observable statistical data that can be leveraged for finding solutions. Network effects can be squeezed from working with diverse data sets that enables us to generate the highest quality medical knowledge with the fewest resources. This paper examines gene manipulation technologies like Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) that can prevent diseases of genetic variety. We further explore the role of the emerging field of Big Data in analyzing large quantities of medical data with the rapid growth of computing power and some of the network efficiencies gained from this endeavor.
机译：本文的目的是阐明如何利用快速发展的大数据领域更好地绘制和理解相互联系的生物系统。我们可以通过分析各种医学数据来利用网络效率，并探索如何有效降低发现罕见疾病的治疗方法的经济成本。大多数罕见疾病是由于遗传异常引起的，由于遗传突变会发展出多种形式的癌症。寻找治愈罕见疾病的方法要求我们了解人体的生物学和生物过程。在本文中，我们探索了从药理学到生物技术的历史重点转移对加速生物医学解决方案的意义。随着生物技术在医学研究领域的领先地位，我们探索了如何通过增强现有知识库来利用网络效率。研究稀有或孤儿疾病可提供丰富的可观察统计数据，可用于寻找解决方案。通过使用各种数据集可以减少网络效应，使我们能够以最少的资源生成最高质量的医学知识。本文研究了基因操纵技术，例如可防止遗传多样性疾病的簇状规则间隔的短回文重复序列（CRISPR）。随着计算能力的快速增长以及从这一努力中获得的一些网络效率，我们将进一步探讨新兴的大数据领域在分析大量医疗数据中的作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号