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2012 1
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Electronic medical records as a tool in clinical pharmacology: opportunities and challenges.
Roden DM, Xu H, Denny JC, Wilke RA. Roden DM, et al. Clin Pharmacol Ther. 2012 Jun;91(6):1083-86. doi: 10.1038/clpt.2012.42. Clin Pharmacol Ther. 2012. PMID: 22534870 Free PMC article. Review.
The development and increasing sophistication of electronic medical record (EMR) systems hold the promise of not only improving patient care but also providing unprecedented opportunities for discovery in the fields of basic, translational, and implementation …
The development and increasing sophistication of electronic medical record (EMR) systems hold the promise of not only improvin …
Proceedings of the 3rd IPLeiria's International Health Congress : Leiria, Portugal. 6-7 May 2016.
Tomás CC, Oliveira E, Sousa D, Uba-Chupel M, Furtado G, Rocha C, Teixeira A, Ferreira P, Alves C, Gisin S, Catarino E, Carvalho N, Coucelo T, Bonfim L, Silva C, Franco D, González JA, Jardim HG, Silva R, Baixinho CL, Presado MªH, Marques MªF, Cardoso ME, Cunha M, Mendes J, Xavier A, Galhardo A, Couto M, Frade JG, Nunes C, Mesquita JR, Nascimento MS, Gonçalves G, Castro C, Mártires A, Monteiro MªJ, Rainho C, Caballero FP, Monago FM, Guerrero JT, Monago RM, Trigo AP, Gutierrez ML, Milanés GM, Reina MG, Villanueva AG, Piñero AS, Aliseda IR, Ramirez FB, Ribeiro A, Quelhas A, Manso C, Caballero FP, Guerrero JT, Monago FM, Santos RB, Jimenez NR, Nuñez CG, Gomez IR, Fernandez MªJL, Marquez LA, Moreno AL, Huertas MªJT, Ramirez FB, Seabra D, Salvador MªC, Braga L, Parreira P, Salgueiro-Oliveira A, Arreguy-Sena C, Oliveira BF, Henriques MªA, Santos J, Lebre S, Marques A, Festas C, Rodrigues S, Ribeiro A, Lumini J, Figueiredo AG, Hernandez-Martinez FJ, Campi L, Quintana-Montesdeoca MªP, Jimenez-Diaz JF, Rodriguez-De-Vera BC, Parente A, Mata MªA, Pereira AMª, Fernandes A, Brás M, Pinto MªR, Parreira P, Basto ML, Rei AC, Mónico LM, Sousa G, Morna C, Freitas O, Freitas G, Jardim A, Vasconcelos … See abstract for full author list ➔ Tomás CC, et al. BMC Health Serv Res. 2016 Jul 6;16 Suppl 3(Suppl 3):200. doi: 10.1186/s12913-016-1423-5. BMC Health Serv Res. 2016. PMID: 27409075 Free PMC article.
Silva, Alice Brito, Antonia Silva P27 Validation of the Portuguese versions of the nursing students' perceptions of learning and learner satisfaction with simulation tool Hugo Duarte, Maria Dos Anjos Dixe, Pedro Sousa P28 Physiotherapists' perceived knowledge on technologi …
Silva, Alice Brito, Antonia Silva P27 Validation of the Portuguese versions of the nursing students' perceptions of learning and learner sat …
Opportunities and challenges in application of artificial intelligence in pharmacology.
Kumar M, Nguyen TPN, Kaur J, Singh TG, Soni D, Singh R, Kumar P. Kumar M, et al. Pharmacol Rep. 2023 Feb;75(1):3-18. doi: 10.1007/s43440-022-00445-1. Epub 2023 Jan 9. Pharmacol Rep. 2023. PMID: 36624355 Free PMC article. Review.
AI functions with specialized algorithms and integrates with deep and machine learning. Living in the digital world can generate a huge amount of medical data every day. Therefore, we need an automated and reliable evaluation tool that can make decisions more accura …
AI functions with specialized algorithms and integrates with deep and machine learning. Living in the digital world can generate a huge amou …
MetBERT: a generalizable and pre-trained deep learning model for the prediction of metastatic cancer from clinical notes.
Liu K, Kulkarni O, Witteveen-Lane M, Chen B, Chesla D. Liu K, et al. AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:331-338. eCollection 2022. AMIA Jt Summits Transl Sci Proc. 2022. PMID: 35854741 Free PMC article.
Distant metastasis is the major cause of cancer-related deaths; however, early diagnosis of cancer metastasis remains a significant challenge. The recent advances in pre-trained natural language processing models coupled with the accumulation of publicly available Elect
Distant metastasis is the major cause of cancer-related deaths; however, early diagnosis of cancer metastasis remains a significant chall
Clinical prediction tools for identifying antimicrobial-resistant organism (ARO) carriage on hospital admissions: a systematic review.
Jeon D, Chavda S, Rennert-May E, Leal J. Jeon D, et al. J Hosp Infect. 2023 Apr;134:11-26. doi: 10.1016/j.jhin.2023.01.003. Epub 2023 Jan 16. J Hosp Infect. 2023. PMID: 36657490 Review.
BACKGROUND: Increasing prevalence of antimicrobial-resistant organisms (AROs) is a growing economic and healthcare challenge. Increasing utilization of electronic medical record (EMR) systems and improvements in computation and analytical techniques afford an …
BACKGROUND: Increasing prevalence of antimicrobial-resistant organisms (AROs) is a growing economic and healthcare challenge. Increas …
PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis.
Zhang S, Strayer N, Vessels T, Choi K, Wang GW, Li Y, Bejan CA, Hsi RS, Bick AG, Velez Edwards DR, Savona MR, Philips EJ, Pulley J, Self WH, Hopkins WC, Roden DM, Smoller JW, Ruderfer DM, Xu Y. Zhang S, et al. medRxiv [Preprint]. 2023 Jul 30:2023.07.23.23293047. doi: 10.1101/2023.07.23.23293047. medRxiv. 2023. PMID: 37547012 Free PMC article. Preprint.
MOTIVATION: Multimorbidity, characterized by the simultaneous occurrence of multiple diseases in an individual, is an increasing global health concern, posing substantial challenges to healthcare systems. ...Yet, there exist limited tools and datasets that character …
MOTIVATION: Multimorbidity, characterized by the simultaneous occurrence of multiple diseases in an individual, is an increasing global h
Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients.
Sperry MM, Oskotsky TT, Marić I, Kaushal S, Takeda T, Horvath V, Powers RK, Rodas M, Furlong B, Soong M, Prabhala P, Goyal G, Carlson KE, Wong RJ, Kosti I, Le BL, Logue J, Hammond H, Frieman M, Stevenson DK, Ingber DE, Sirota M, Novak R. Sperry MM, et al. PLoS Comput Biol. 2023 May 5;19(5):e1011050. doi: 10.1371/journal.pcbi.1011050. eCollection 2023 May. PLoS Comput Biol. 2023. PMID: 37146076 Free PMC article.
Top drug predictions included statins, which were then assessed using electronic medical records containing over 4,000 COVID-19 patients on statins to determine mortality risk in patients prescribed specific statins versus untreated matched controls. ...These …
Top drug predictions included statins, which were then assessed using electronic medical records containing over 4,000 …