Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yasmin Hurd"'
Publikováno v:
Toxicology Communications, Vol 6, Iss 1, Pp 1-5 (2022)
AbstractAcetaminophen overdose is a leading cause of liver failure in the United States. Macrophage migration inhibitory factor (MIF) is a cytokine that is released early and promotes acetaminophen toxicity in preclinical models. This cytokine could
Externí odkaz:
https://doaj.org/article/e6d667c49f304e4c844484f9cc2dee1b
Autor:
Claire L. Mann, Anahita B. Nia, Sharron Spriggs, Steven Carbonaro, Daniel DeFrancisco, Lyla Parvez, Charles Perkel, Yasmin Hurd
Publikováno v:
Journal of Clinical and Translational Science, Vol 2, Pp 48-48 (2018)
OBJECTIVES/SPECIFIC AIMS: Synthetic cannabinoids (SC) are widely available and are associated with acute psychosis. Our recent study indicated that SC using psychiatric inpatients admitted in 2014 had more psychotic symptoms, aggression, and agitatio
Externí odkaz:
https://doaj.org/article/97b8b765c6bd414c960906902e579b23
Autor:
Anahita Bassir Nia, Claire Gibson, Sharron Spriggs, Samantha Jankowskib, Daniel DeFrancisco, Amy Swift, Charles Perkel, Igor Galynker, Chandrashekhar Honrao, Alexandros Makriyannis, Yasmin Hurd
Publikováno v:
Biological Psychiatry. 93:S156-S157
Autor:
Janitza Montalvo-Ortiz, Diana Nunez-Rios, Yasmin Hurd, Gregory Rompala, Sheila Nagamatsu, José Martínez-Magaña, John Krystal
Publikováno v:
Biological Psychiatry. 93:S68
Autor:
Diana Nunez, Gregory Rompala, Yasmin Hurd, Sheila T. Nagamatsu, Jose Jaime Martínez-Magaña, John H. Krystal, Joel Gelernter, null Traumatic Stress Brain Research Group, Janitza L. Montalvo-Ortiz
Publikováno v:
European Neuropsychopharmacology. 63:e205-e206
Publikováno v:
Studies in health technology and informatics. 289
The goal of this paper is to apply unsupervised machine learning techniques in order to discover latent clusters in patients who have opioid misuse and also undergone COVID-19 testing. Target dataset has been constructed based on COVID-19 testing res
The goal of this paper is to apply unsupervised machine learning techniques in order to discover latent clusters in patients who have opioid misuse and also undergone COVID-19 testing. Target dataset has been constructed based on COVID-19 testing res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b3c4d16cfef4e6ff4f2cc92296634d
https://doi.org/10.3233/shti210874
https://doi.org/10.3233/shti210874
Publikováno v:
Biomed Eng Syst Technol Int Jt Conf BIOSTEC Revis Sel Pap
Psychiatric and medical disorders, social and family environment, and legal distress are important determinants of distress that impact the effectiveness of the treatment in opioid treatment program (OTP). This information is not routinely captured i
Publikováno v:
Biological Psychiatry. 91:S8-S9
Publikováno v:
European Neuropsychopharmacology. 63:e132