Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data
| Autor: | Vid Matišić, Ivan Mikula, Lidija Bach-Rojecky, Dragan Primorac, Vilim Molnar, Bernard Esquivel, Morgan Donaldson, Alen Juginović, Katarina Žunić, Ljubica Boban, Luka Boban, Damir Erceg, Andrea Skelin, Dalia Vađunec, Lara Primorac, Jasmina Ćatić, Ivana Erceg Ivkošić, Borna Arsov |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
therapy optimization
Big Data Drug-Related Side Effects and Adverse Reactions Computer science Big data Specialty BIOMEDICINE AND HEALTHCARE. Basic Medical Sciences. Human Genetics Genomics and Proteomics Artificial Intelligence Genetics Humans Drug reaction Quality of care Precision Medicine pharmacogenomics Pharmacology business.industry Perspective (graphical) personalized medicine artificial intelligence Precision medicine Data science Pharmacogenetics Pharmacogenomics personilized medicine Molecular Medicine Personalized medicine business BIOMEDICINA I ZDRAVSTVO. Temeljne medicinske znanosti. Genetika genomika i proteomika čovjeka |
| Zdroj: | Pharmacogenomics Volume 21 Issue 2 |
| ISSN: | 1462-2416 1744-8042 |
| DOI: | 10.2217/pgs-2019-0134 |
| Popis: | Pharmacogenomics (PGx) is one of the core elements of personalized medicine. PGx information reduces the likelihood of adverse drug reactions and optimizes therapeutic efficacy. St Catherine Specialty Hospital in Zagreb/Zabok, Croatia has implemented a personalized patient approach using the RightMed Comprehensive PGx panel of 25 pharmacogenes plus Facor V Leiden, Factor II and MTHFR genes, which is interpreted by a special counseling team to offer the best quality of care. With the advent of significant technological advances comes another challenge: how can we harness the data to inform clinically actionable measures and how can we use it to develop better predictive risk models? We propose to apply the principles artificial intelligence to develop a medication optimization platform to prevent, manage and treat different diseases. |
| Databáze: | OpenAIRE |
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