Literature DB >> 23463359

Future of medicine: models in predictive diagnostics and personalized medicine.

Babette Regierer1, Valeria Zazzu, Ralf Sudbrak, Alexander Kühn, Hans Lehrach.   

Abstract

Molecular medicine is undergoing fundamental changes driving the whole area towards a revolution in modern medicine. The breakthrough was generated the fast-developing technologies in molecular biology since the first draft sequence of the human genome was published. The technological advances enabled the analysis of biological samples from cells and organs to whole organisms in a depth that was not possible before. These technologies are increasingly implemented in the medical and health care system to study diseases and refine diagnostics. As a consequence, the understanding of diseases and the health status of an individual patient is now based on an enormous amount of data that can only be interpreted in the context of the body as a whole. Systems biology as a new field in the life sciences develops new approaches for data integration and interpretation. Systems medicine as a specialized aspect of systems biology combines in an interdisciplinary approach all expertise necessary to decipher the human body in all its complexity. This created new challenges in the area of information and communication technologies to provide the infrastructure and technology needed to cope with the data flood that will accompany the next generation of medicine. The new initiative 'IT Future of Medicine' aims at driving this development even further and integrates not only molecular data (especially genomic information), but also anatomical, physiological, environmental, and lifestyle data in a predictive model approach-the 'virtual patient'-that will allow the clinician or the general practitioner to predict and anticipate the optimal treatment for the individual patient. The application of the virtual patient model will allow truly personalized medicine.

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Mesh:

Year:  2013        PMID: 23463359     DOI: 10.1007/10_2012_176

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  6 in total

1.  Prognostic Model of Prehypertension Risk Based on Molecular Markers.

Authors:  V V Sherstnev; M A Gruden; A V Kuznetsova; O V Senko
Journal:  Bull Exp Biol Med       Date:  2021-03-31       Impact factor: 0.804

2.  Using a machine learning approach to investigate factors associated with treatment-resistant depression among adults with chronic non-cancer pain conditions and major depressive disorder.

Authors:  Drishti Shah; Wanhong Zheng; Lindsay Allen; Wenhui Wei; Traci LeMasters; Suresh Madhavan; Usha Sambamoorthi
Journal:  Curr Med Res Opin       Date:  2021-03-24       Impact factor: 2.580

Review 3.  Patient-specific workup of adrenal incidentalomas.

Authors:  Romy R de Haan; Johannes B R Visser; Ewoud Pons; Richard A Feelders; Uzay Kaymak; M G Myriam Hunink; Jacob J Visser
Journal:  Eur J Radiol Open       Date:  2017-09-07

4.  Diseases and Molecular Diagnostics: A Step Closer to Precision Medicine.

Authors:  Shailendra Dwivedi; Purvi Purohit; Radhieka Misra; Puneet Pareek; Apul Goel; Sanjay Khattri; Kamlesh Kumar Pant; Sanjeev Misra; Praveen Sharma
Journal:  Indian J Clin Biochem       Date:  2017-08-22

5.  Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

Authors:  J Douglas Thornton; Nilanjana Dwibedi; Virginia Scott; Charles D Ponte; Douglas Ziedonis; Nethra Sambamoorthi; Usha Sambamoorthi
Journal:  Am Health Drug Benefits       Date:  2018-02

Review 6.  e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors.

Authors:  Florian Ferreri; Alexis Bourla; Stephane Mouchabac; Laurent Karila
Journal:  Front Psychiatry       Date:  2018-03-01       Impact factor: 4.157

  6 in total

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