Literature DB >> 25479798

Data collection as a barrier to personalized medicine.

David Zakim1, Matthias Schwab2.   

Abstract

Basic life science research holds the promise of personalizing medical care. However, translation steps from the laboratory to the bedside are not trivial. Results from clinical research are difficult to replicate in part because study cohorts are poorly defined phenotypically. Here, we discuss how computer technology can improve the collection of clinical data to enable translation of insights from basic science to validated clinical guidelines.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  CLEOS; computerized history-taking program; personalized medicine

Mesh:

Year:  2014        PMID: 25479798     DOI: 10.1016/j.tips.2014.11.002

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  12 in total

1.  Design and Evaluation of a Real Time Physiological Signals Acquisition System Implemented in Multi-Operating Rooms for Anesthesia.

Authors:  Quan Liu; Li Ma; Shou-Zen Fan; Maysam F Abbod; Cheng-Wei Lu; Tzu-Yu Lin; Kuo-Kuang Jen; Shang-Ju Wu; Jiann-Shing Shieh
Journal:  J Med Syst       Date:  2018-06-30       Impact factor: 4.460

Review 2.  Electronic Assessment of Physical Decline in Geriatric Cancer Patients.

Authors:  Ramin Fallahzadeh; Hassan Ghasemzadeh; Armin Shahrokni
Journal:  Curr Oncol Rep       Date:  2018-03-08       Impact factor: 5.075

Review 3.  Impact of Genetic Polymorphisms of ABCB1 (MDR1, P-Glycoprotein) on Drug Disposition and Potential Clinical Implications: Update of the Literature.

Authors:  Stefan Wolking; Elke Schaeffeler; Holger Lerche; Matthias Schwab; Anne T Nies
Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

Review 4.  Pharmacogenetics: Implications for Modern Type 2 Diabetes Therapy.

Authors:  Harald Staiger; Elke Schaeffeler; Matthias Schwab; Hans-Ulrich Häring
Journal:  Rev Diabet Stud       Date:  2016-02-10

Review 5.  Achieving the World Health Organization's vision for clinical pharmacology.

Authors:  Jennifer H Martin; David Henry; Jean Gray; Richard Day; Felix Bochner; Albert Ferro; Munir Pirmohamed; Klaus Mörike; Matthias Schwab
Journal:  Br J Clin Pharmacol       Date:  2015-11-23       Impact factor: 4.335

Review 6.  ABCB1 genetic variants in leukemias: current insights into treatment outcomes.

Authors:  Ravindran Ankathil
Journal:  Pharmgenomics Pers Med       Date:  2017-05-12

Review 7.  Improving the Primary Care Consultation for Diabetes and Depression Through Digital Medical Interview Assistant Systems: Narrative Review.

Authors:  Geronimo Jimenez; Shilpa Tyagi; Tarig Osman; Pier Spinazze; Rianne van der Kleij; Niels H Chavannes; Josip Car
Journal:  J Med Internet Res       Date:  2020-08-28       Impact factor: 5.428

8.  Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation.

Authors:  Ramyar Saeedi; Keyvan Sasani; Assefaw H Gebremedhin
Journal:  Sensors (Basel)       Date:  2020-03-30       Impact factor: 3.576

9.  From genomic medicine to precision medicine: highlights of 2015.

Authors:  Charles Auffray; Timothy Caulfield; Julian L Griffin; Muin J Khoury; James R Lupski; Matthias Schwab
Journal:  Genome Med       Date:  2016-01-29       Impact factor: 11.117

10.  Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Authors:  Elena Daskalaki; Peter Diem; Stavroula G Mougiakakou
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

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