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  1. Book: Der virtuelle Patient

    Niederlag, Wolfgang / Lemke, Heinz U. / Lehrach, Hans / Peitgen, Heinz-Otto

    (Health academy ; Band 1)

    2017  

    Author's details Wolfgang Niederlag, Heinz U. Lemke, Hans Lehrach, Heinz-Otto Peitgen
    Series title Health academy ; Band 1
    Collection
    Keywords Patient ; Computersimulation ; Erweiterte Realität ; Medizin
    Subject Humanmedizin ; Heilkunst ; Medicine ; Augmented Reality ; AR ; Simulation ; Computer ; Simulationstechnik ; Systemsimulation ; Digitale Simulation ; Computermodell ; Rechnersimulation ; Patienten
    Language German
    Size XV, 349 Seiten, Illustrationen, 24 cm
    Edition 2., erweiterte Auflage
    Publisher De Gruyter
    Publishing place Berlin
    Publishing country Germany
    Document type Book
    HBZ-ID HT019476846
    ISBN 978-3-11-055434-2 ; 3-11-055434-8 ; 9783110335668 ; 3110335662
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2017 A 1730 available for loan (reading room) Lesesaal EG

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  2. Article ; Online: Omics approaches to individual variation: modeling networks and the virtual patient.

    Lehrach, Hans

    Dialogues in clinical neuroscience

    2016  Volume 18, Issue 3, Page(s) 253–265

    Abstract: Every human is unique. We differ in our genomes, environment, behavior, disease history, and past and current medical treatment-a complex catalog of differences that often leads to variations in the way each of us responds to a particular therapy. We ... ...

    Abstract Every human is unique. We differ in our genomes, environment, behavior, disease history, and past and current medical treatment-a complex catalog of differences that often leads to variations in the way each of us responds to a particular therapy. We argue here that true personalization of drug therapies will rely on "virtual patient" models based on a detailed characterization of the individual patient by molecular, imaging, and sensor techniques. The models will be based, wherever possible, on the molecular mechanisms of disease processes and drug action but can also expand to hybrid models including statistics/machine learning/artificial intelligence-based elements trained on available data to address therapeutic areas or therapies for which insufficient information on mechanisms is available. Depending on the disease, its mechanisms, and the therapy, virtual patient models can be implemented at a fairly high level of abstraction, with molecular models representing cells, cell types, or organs relevant to the clinical question, interacting not only with each other but also the environment. In the future, "virtual patient/in-silico self" models may not only become a central element of our health care system, reducing otherwise unavoidable mistakes and unnecessary costs, but also act as "guardian angels" accompanying us through life to protect us against dangers and to help us to deal intelligently with our own health and wellness.
    MeSH term(s) Computer Simulation ; Genomics ; Humans ; Models, Genetic ; Precision Medicine
    Language English
    Publishing date 2016-09
    Publishing country France
    Document type Journal Article
    ZDB-ID 2188781-0
    ISSN 1958-5969 ; 1294-8322
    ISSN (online) 1958-5969
    ISSN 1294-8322
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6188: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Virtual Clinical Trials, an Essential Step in Increasing the Effectiveness of the Drug Development Process.

    Lehrach, Hans

    Public health genomics

    2015  Volume 18, Issue 6, Page(s) 366–371

    Abstract: Every patient is different--his/her genomes, environment, disease history and exposure to drugs. Tumours, in particular, are often heterogeneous in their genetic make-up and their response to drugs, both within and between samples. Classic clinical ... ...

    Abstract Every patient is different--his/her genomes, environment, disease history and exposure to drugs. Tumours, in particular, are often heterogeneous in their genetic make-up and their response to drugs, both within and between samples. Classic clinical trials basically ignore this complexity or, as in stratified medicine, attempt to reduce it to an analysis of a small number of still enormously heterogeneous patient groups. Medicine, however, is not the only area in which we are faced with such complex 'n = 1' (every individual case is different) situations. The weather we experience today, characterised by tens of terabytes of measurement data, has never occurred before and will never occur again. Similar to the situation in medicine, we cannot predict the development of today's weather by looking for identical weather conditions in the past, and we cannot, in real life, test drugs for every individual patient in clinical trials with large numbers of biologically identical patient replicas. We can, however, do it with the help of models duplicating the 'n = 1' situation on the computer, an approach which will also have to be used in both patient treatment and prevention as well as drug development in the future if we do not want to continue to make dangerous and expensive mistakes in real life.
    MeSH term(s) Clinical Trials as Topic/methods ; Computer Simulation ; Drug Discovery/methods ; Female ; Humans ; Male ; Precision Medicine/methods ; User-Computer Interface
    Language English
    Publishing date 2015
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2457023-0
    ISSN 1662-8063 ; 1662-4246
    ISSN (online) 1662-8063
    ISSN 1662-4246
    DOI 10.1159/000441553
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4908: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: DNA sequencing methods in human genetics and disease research.

    Lehrach, Hans

    F1000prime reports

    2013  Volume 5, Page(s) 34

    Abstract: DNA sequencing has revolutionized biological and medical research, and is poised to have a similar impact in medicine. This tool is just one of a number of developments in our capability to identify, quantitate and functionally characterize the ... ...

    Abstract DNA sequencing has revolutionized biological and medical research, and is poised to have a similar impact in medicine. This tool is just one of a number of developments in our capability to identify, quantitate and functionally characterize the components of the biological networks keeping us healthy or making us sick, but in many respects it has played the leading role in this process. The new technologies do, however, also provide a bridge between genotype and phenotype, both in man and model (as well as all other) organisms, revolutionize the identification of elements involved in a multitude of human diseases or other phenotypes, and generate a wealth of medically relevant information on every single person, as the basis of a truly personalized medicine of the future.
    Language English
    Publishing date 2013-09-02
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2709303-7
    ISSN 2051-7599
    ISSN 2051-7599
    DOI 10.12703/P5-34
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book: 1000 Genome Projekt

    Lehrach, Hans

    Programm der medizinischen Genomforschung ; Schlussbericht ; Laufzeit des Vorhabens: 01.06.2008 - 30.06.2013

    2013  

    Title variant Tausend
    Author's details Max-Planck-Institut für molekulare Genetik. Projektleiter: Hans Lehrach
    Language German
    Size [13] S., Ill.
    Publishing place Berlin
    Document type Book
    Note Förderkennzeichen BMBF 01GS08201
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Book ; Online: 1000 Genome Projekt

    Lehrach, Hans

    Programm der medizinischen Genomforschung ; NGFN Nationales Genomforschungsnetz ; Schlussbericht ; Laufzeit des Vorhabens: 01.06.2008 - 30.06.2013

    2013  

    Title variant Tausend
    Institution Max-Planck-Institut für Molekulare Genetik
    Author's details Max-Planck-Institut für molekulare Genetik, Abteilung Analyse des Vertebratengenoms. Projektleiter: Hans Lehrach
    Language German
    Size Online-Ressource (PDF-Datei: 13 S., 681 KB), Ill.
    Publisher Techn. Informationsbibl. und Univ.-Bibl
    Publishing place Hannover ; Berlin
    Document type Book ; Online
    Note Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  7. Book ; Online: BMBF Pilotprojekt CancerSys: TREAT20 - Tumorforschung und -behandlung - Ein Pilotprojekt mit 20 Patienten

    Lehrach, Hans

    Schlussbericht MPIMG ; Berichtszeitraum: 01. Oktober 2010 bis 30. September 2013

    2013  

    Title variant Tumorbehandlung
    Institution Max-Planck-Institut für Molekulare Genetik / Abteilung Genomik der Vertebraten
    Author's details Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V., vertreten durch das Max-Planck-Institut für molekulare Genetik, Berlin, Abteilung Analyse des Vertebratengenoms. Projektkoordinator: Hans Lehrach
    Language German
    Size Online-Ressource (PDF-Datei: 18 S., 542 KB), graph. Darst.
    Publisher Techn. Informationsbibl. und Univ.-Bibl
    Publishing place Hannover ; Berlin
    Document type Book ; Online
    Note Förderkennzeichen BMBF 0315852b. - Verbund-Nr. 01080724 ; Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  8. Book: BMBF Pilotprojekt CancerSys: TREAT20 - Tumorforschung und -behandlung - Ein Pilotprojekt mit 20 Patienten

    Lehrach, Hans

    Schlussbericht MPIMG ; Berichtszeitraum: 01. Oktober 2010 bis 30. September 2013

    2013  

    Title variant Tumorbehandlung
    Institution Max-Planck-Institut für Molekulare Genetik / Abteilung Genomik der Vertebraten
    Author's details Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V., vertreten durch das Max-Planck-Institut für molekulare Genetik, Berlin, Abteilung Analyse des Vertebratengenoms. Projektkoordinator: Hans Lehrach
    Language German
    Size 18 S., graph. Darst.
    Publishing place Berlin
    Document type Book
    Note Förderkennzeichen BMBF 0315852b. - Verbund-Nr. 01080724 ; Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  9. Conference proceedings: System Medicine – Translation from Tumorbiology to Ophthalmology

    Lehrach, Hans

    2016  , Page(s) 16rg45

    Event/congress 29. Jahrestagung der Retinologischen Gesellschaft; Berlin; Retinologische Gesellschaft; 2016
    Keywords Medizin, Gesundheit
    Publishing date 2016-06-16
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/16rg45
    Database German Medical Science

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  10. Article: A revolution in healthcare: challenges and opportunities for personalized medicine.

    Lehrach, Hans

    Personalized medicine

    2012  Volume 9, Issue 2, Page(s) 105–108

    Language English
    Publishing date 2012-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2299146-3
    ISSN 1744-828X ; 1741-0541
    ISSN (online) 1744-828X
    ISSN 1741-0541
    DOI 10.2217/pme.12.9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6549: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 73: Show issues

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