Literature DB >> 23607309

Personalized diagnostics and biosensors: a review of the biology and technology needed for personalized medicine.

Minhaz Uddin Ahmed1, Ishtiaq Saaem, Pae C Wu, April S Brown.   

Abstract

Exploiting the burgeoning fields of genomics, proteomics and metabolomics improves understanding of human physiology and, critically, the mutations that signal disease susceptibility. Through these emerging fields, rational design approaches to diagnosis, drug development and ultimately personalized medicine are possible. Personalized medicine and point-of-care testing techniques must fulfill a host of constraints for real-world applicability. Point-of-care devices (POCDs) must ultimately provide a cost-effective alternative to expensive and time-consuming laboratory tests in order to assist health care personnel with disease diagnosis and treatment decisions. Sensor technologies are also expanding beyond the more traditional classes of biomarkers--nucleic acids and proteins--to metabolites and direct detection of pathogens, ultimately increasing the palette of available techniques for the use of personalized medicine. The technologies needed to perform such diagnostics have also been rapidly evolving, with each generation being increasingly sensitive and selective while being more resource conscious. Ultimately, the final hurdle for all such technologies is to be able to drive consumer adoption and achieve a meaningful medical outcome for the patient.

Entities:  

Keywords:  Biosensors; drugs; personalized medicine; point of care devices

Mesh:

Substances:

Year:  2013        PMID: 23607309     DOI: 10.3109/07388551.2013.778228

Source DB:  PubMed          Journal:  Crit Rev Biotechnol        ISSN: 0738-8551            Impact factor:   8.429


  20 in total

Review 1.  Guide to Selecting a Biorecognition Element for Biosensors.

Authors:  Marissa A Morales; Jeffrey Mark Halpern
Journal:  Bioconjug Chem       Date:  2018-09-28       Impact factor: 4.774

2.  Smartphone operable centrifugal system (SOCS) for on-site DNA extraction from foodborne bacterial pathogen.

Authors:  Soon Woo Jeong; Yoo Min Park; Sung Hee Jo; Seok Jae Lee; Yong Tae Kim; Kyoung G Lee
Journal:  Biomicrofluidics       Date:  2019-05-22       Impact factor: 2.800

3.  Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

Authors:  Pratik Sinha; Matthew M Churpek; Carolyn S Calfee
Journal:  Am J Respir Crit Care Med       Date:  2020-10-01       Impact factor: 21.405

4.  An electrochemical aptamer-based sensor for the rapid and convenient measurement of L-tryptophan.

Authors:  Andrea Idili; Julian Gerson; Claudio Parolo; Tod Kippin; Kevin W Plaxco
Journal:  Anal Bioanal Chem       Date:  2019-02-22       Impact factor: 4.142

5.  Calibrant-Free Analyte Quantitation via a Variable Velocity Flow Cell.

Authors:  Jason G Beck; Aleksander Skuratovsky; Michael C Granger; Marc D Porter
Journal:  Anal Chem       Date:  2016-12-28       Impact factor: 6.986

Review 6.  Trends and advances in food analysis by real-time polymerase chain reaction.

Authors:  Nur Thaqifah Salihah; Mohammad Mosharraf Hossain; Hamadah Lubis; Minhaz Uddin Ahmed
Journal:  J Food Sci Technol       Date:  2016-05-05       Impact factor: 2.701

Review 7.  Thermotropic Liquid Crystal-Assisted Chemical and Biological Sensors.

Authors:  Nicolai Popov; Lawrence W Honaker; Maia Popova; Nadezhda Usol'tseva; Elizabeth K Mann; Antal Jákli; Piotr Popov
Journal:  Materials (Basel)       Date:  2017-12-23       Impact factor: 3.623

8.  Real-time reliable determination of binding kinetics of DNA hybridization using a multi-channel graphene biosensor.

Authors:  Shicai Xu; Jian Zhan; Baoyuan Man; Shouzhen Jiang; Weiwei Yue; Shoubao Gao; Chengang Guo; Hanping Liu; Zhenhua Li; Jihua Wang; Yaoqi Zhou
Journal:  Nat Commun       Date:  2017-03-21       Impact factor: 14.919

9.  Comparative Kinetic Analysis of Closed-Ended and Open-Ended Porous Sensors.

Authors:  Yiliang Zhao; Girija Gaur; Raymond L Mernaugh; Paul E Laibinis; Sharon M Weiss
Journal:  Nanoscale Res Lett       Date:  2016-09-13       Impact factor: 4.703

10.  A sensitive and innovative detection method for rapid C-reactive proteins analysis based on a micro-fluxgate sensor system.

Authors:  Lei Guo; Zhen Yang; Shaotao Zhi; Zhu Feng; Chong Lei; Yong Zhou
Journal:  PLoS One       Date:  2018-03-30       Impact factor: 3.240

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