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Pregled bibliografske jedinice broj: 1057619

Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data


Primorac, Dragan; Bach-Rojecky, Lidija; Vađunec, Dalia; Juginović, Alen; Žunić, Katarina; Matišić, Vid; Skelin, Andrea; Arsov, Borna; Boban, Luka; Erceg, Damir et al.
Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data // Pharmacogenomics, 21 (2020), 2; 141-156 doi:10.2217/pgs-2019-0134 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1057619 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data

Autori
Primorac, Dragan ; Bach-Rojecky, Lidija ; Vađunec, Dalia ; Juginović, Alen ; Žunić, Katarina ; Matišić, Vid ; Skelin, Andrea ; Arsov, Borna ; Boban, Luka ; Erceg, Damir ; Ivkošić, Ivana Erceg ; Molnar, Vilim ; Ćatić, Jasmina ; Mikula, Ivan ; Boban, Ljubica ; Primorac, Lara ; Esquivel, Bernard ; Donaldson, Morgan

Izvornik
Pharmacogenomics (1462-2416) 21 (2020), 2; 141-156

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
artificial intelligence, personilized medicine, pharmacogenomics, therapy optimization

Sažetak
About Abstract 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.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove
Fakultet za dentalnu medicinu i zdravstvo, Osijek

Citiraj ovu publikaciju

Primorac, Dragan; Bach-Rojecky, Lidija; Vađunec, Dalia; Juginović, Alen; Žunić, Katarina; Matišić, Vid; Skelin, Andrea; Arsov, Borna; Boban, Luka; Erceg, Damir et al.
Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data // Pharmacogenomics, 21 (2020), 2; 141-156 doi:10.2217/pgs-2019-0134 (međunarodna recenzija, članak, znanstveni)
Primorac, D., Bach-Rojecky, L., Vađunec, D., Juginović, A., Žunić, K., Matišić, V., Skelin, A., Arsov, B., Boban, L. & Erceg, D. (2020) Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data. Pharmacogenomics, 21 (2), 141-156 doi:10.2217/pgs-2019-0134.
@article{article, year = {2020}, pages = {141-156}, DOI = {10.2217/pgs-2019-0134}, keywords = {artificial intelligence, personilized medicine, pharmacogenomics, therapy optimization}, journal = {Pharmacogenomics}, doi = {10.2217/pgs-2019-0134}, volume = {21}, number = {2}, issn = {1462-2416}, title = {Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data}, keyword = {artificial intelligence, personilized medicine, pharmacogenomics, therapy optimization} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
  • Scopus
  • MEDLINE


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