Literature DB >> 27016224

Use of "big data" in drug discovery and clinical trials.

Guillaume Taglang1, David B Jackson2.   

Abstract

Oncology is undergoing a data-driven metamorphosis. Armed with new and ever more efficient molecular and information technologies, we have entered an era where data is helping us spearhead the fight against cancer. This technology driven data explosion, often referred to as "big data", is not only expediting biomedical discovery, but it is also rapidly transforming the practice of oncology into an information science. This evolution is critical, as results to-date have revealed the immense complexity and genetic heterogeneity of patients and their tumors, a sobering reminder of the challenge facing every patient and their oncologist. This can only be addressed through development of clinico-molecular data analytics that provide a deeper understanding of the mechanisms controlling the biological and clinical response to available therapeutic options. Beyond the exciting implications for improved patient care, such advancements in predictive and evidence-based analytics stand to profoundly affect the processes of cancer drug discovery and associated clinical trials.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Biomarkers; Clinical trials; Drug discovery; Precision medicine

Mesh:

Year:  2016        PMID: 27016224     DOI: 10.1016/j.ygyno.2016.02.022

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  5 in total

Review 1.  A systems approach to clinical oncology uses deep phenotyping to deliver personalized care.

Authors:  James T Yurkovich; Qiang Tian; Nathan D Price; Leroy Hood
Journal:  Nat Rev Clin Oncol       Date:  2019-10-16       Impact factor: 66.675

Review 2.  Clinical Research Informatics: Supporting the Research Study Lifecycle.

Authors:  S B Johnson
Journal:  Yearb Med Inform       Date:  2017-09-11

3.  Applying advanced technologies to improve clinical trials: a systematic mapping study.

Authors:  Esther Nanzayi Ngayua; Jianjia He; Kwabena Agyei-Boahene
Journal:  Scientometrics       Date:  2020-11-21       Impact factor: 3.238

Review 4.  How Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era.

Authors:  Xing Chen; Xing Zhang
Journal:  Int J Telemed Appl       Date:  2016-12-25

Review 5.  Perspective on optimizing clinical trials in critical care: how to puzzle out recurrent failures.

Authors:  Bruno François; Marc Clavel; Philippe Vignon; Pierre-François Laterre
Journal:  J Intensive Care       Date:  2016-11-04
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.