Literature DB >> 23091837

The future of technologies for personalised medicine.

Alison Harvey1, Angela Brand, Stephen T Holgate, Lars V Kristiansen, Hans Lehrach, Aarno Palotie, Barbara Prainsack.   

Abstract

Personalised medicine promises prediction, prevention and treatment of illness that is targeted to individuals’ needs. New technologies for detailed biological profiling of individuals at the molecular level have been crucial in initiating the move to personalised medicine; further novel technologies will be necessary if the vision is to become a reality. We will need to develop new technologies to collect and analyse data in a way that is not just linear but integrated (understanding system level functioning) and dynamic (understanding system in flux). Key factors in the development of technologies for personalised medicine are standardisation, integration and harmonisation. For example, the tools and processes for data collection and analysis must be standardised across research sites. Research activity at different sites must be integrated to maximise synergies, and scientific research must be integrated with healthcare to ensure effective translation. There must also be harmonisation between scientific practices in different research sites, between science and healthcare and between science, healthcare and wider society, including the ethical and regulatory frameworks, the prevailing political and cultural ethos and the expectations of patients/citizens.

Entities:  

Mesh:

Year:  2012        PMID: 23091837     DOI: 10.1016/j.nbt.2012.03.009

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  19 in total

1.  Personalised Medicine and Scarce Resources: A Discussion of Ethical Chances and Challenges from the Perspective of the Capability Approach.

Authors:  Caroline Brall; Peter Schröder-Bäck
Journal:  Public Health Genomics       Date:  2016-06-01       Impact factor: 2.000

2.  NOD1 in contrast to NOD2 functional polymorphism influence Chlamydia trachomatis infection and the risk of tubal factor infertility.

Authors:  Ivan Branković; Eleanne F van Ess; Marlies P Noz; Wilhelmina Anke J Wiericx; Joke Spaargaren; Servaas A Morré; Sander Ouburg
Journal:  Pathog Dis       Date:  2015-01-11       Impact factor: 3.166

3.  Smart surface for elution of protein-protein bound particles: nanonewton dielectrophoretic forces using atomic layer deposited oxides.

Authors:  Sam Emaminejad; Mehdi Javanmard; Robert W Dutton; Ronald W Davis
Journal:  Anal Chem       Date:  2012-12-06       Impact factor: 6.986

4.  Toward a Personalized Real-Time Diagnosis in Neonatal Seizure Detection.

Authors:  Andriy Temko; Achintya Kr Sarkar; Geraldine B Boylan; Sean Mathieson; William P Marnane; Gordon Lightbody
Journal:  IEEE J Transl Eng Health Med       Date:  2017-09-11       Impact factor: 3.316

5.  Modeling factors critical for implementation of precision medicine at health systems-level: an IRT approach.

Authors:  John Jo Mogaka; Moses J Chimbari
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

Review 6.  Pre-graduate and post-graduate education in personalized medicine in the Czech Republic: statistics, analysis and recommendations.

Authors:  Jiri Polivka; Jiri Polivka; Marie Karlikova; Ondrej Topolcan
Journal:  EPMA J       Date:  2014-12-15       Impact factor: 6.543

7.  A crowdsourcing workflow for extracting chemical-induced disease relations from free text.

Authors:  Tong Shu Li; Àlex Bravo; Laura I Furlong; Benjamin M Good; Andrew I Su
Journal:  Database (Oxford)       Date:  2016-04-17       Impact factor: 3.451

8.  Conceptual and terminological confusion around personalised medicine: a coping strategy.

Authors:  Giovanni De Grandis; Vidar Halgunset
Journal:  BMC Med Ethics       Date:  2016-07-18       Impact factor: 2.652

Review 9.  Personalized ophthalmology.

Authors:  L F Porter; G C M Black
Journal:  Clin Genet       Date:  2014-07       Impact factor: 4.438

10.  Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes.

Authors:  S Chatzipanagiotou; A Ioannidis; E Trikka-Graphakos; N Charalampaki; C Sereti; R Piccinini; A M Higgins; T Buranda; R Durvasula; A L Hoogesteijn; G P Tegos; Ariel L Rivas
Journal:  Front Immunol       Date:  2016-06-10       Impact factor: 7.561

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