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Stor potential när genomikdatakan implementeras i klinisk rutin: [Clinical translation of genomic medicine]
Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health.
Klinisk neurovetenskap, Karolinska institutet, Stockholm, Sverige.
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.
Avdelningen för obstetrik och gynekologi, Göteborgs universitet; kvinnokliniken, Sahlgrenska universitetssjukhuset, Göteborg, Sverige.
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2021 (Swedish)In: Läkartidningen, ISSN 0023-7205, E-ISSN 1652-7518, Vol. 118Article, review/survey (Refereed) Published
Abstract [en]

Recent technical developments and early clinical examples support that precision medicine has potential to provide novel diagnostic and therapeutic solutions for patients with complex diseases, who are not responding to existing therapies. Those solutions will require integration of genomic data with routine clinical, imaging, sensor, biobank and registry data. Moreover, user-friendly tools for informed decision support for both patients and clinicians will be needed. While this will entail huge technical, ethical, societal and regulatory challenges, it may contribute to transforming and improving health care towards becoming predictive, preventive, personalised and participatory (4P-medicine).

Abstract [sv]

Ett av de största problemen för många patienter är attde inte förbättras av läkemedelsbehandling. Detta orsakar, förutom lidande, stora samhällskostnader. Viktigaorsaker är sjukdomars molekylära komplexitet samt sendiagnostik och behandling.

Precisionsmedicin kan bidra till att lösa problem genom att karakterisera och tolka denna komplexitet. Ettexempel är att läkemedelsbehandling kan provas ut ochindividualiseras genom datorsimuleringar.

Precisionsmedicin har potential att påtagligt förbättrabåde hälsa och ekonomi. Detta kräver en bred IT-strategi för att integrera genomik- och andra storskaligadatakällor, som inkluderar nationella superdator-,visualiserings- och AI-centrum.

Place, publisher, year, edition, pages
Sveriges Läkarförbund , 2021. Vol. 118
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Medical Ethics
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URN: urn:nbn:se:liu:diva-185093PubMedID: 33977515OAI: oai:DiVA.org:liu-185093DiVA, id: diva2:1658782
Available from: 2022-05-17 Created: 2022-05-17 Last updated: 2022-05-31Bibliographically approved

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Gawel, DanutaSysoev, OlegJönsson, Jan-IngvarYnnerman, AndersBenson, Mikael

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Gawel, DanutaSysoev, OlegJönsson, Jan-IngvarYnnerman, AndersBenson, Mikael
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Faculty of Medicine and Health SciencesDivision of Children's and Women's HealthThe Division of Statistics and Machine LearningFaculty of Arts and SciencesDivision of Molecular Medicine and VirologyMedia and Information TechnologyFaculty of Science & EngineeringH.K.H. Kronprinsessan Victorias barn- och ungdomssjukhus
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Medical Ethics

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