Zobrazeno 1 - 10
of 285
pro vyhledávání: '"JULIO C. FACELLI"'
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 96-97 (2024)
OBJECTIVES/GOALS: The Clinical Implementation stage in the translational pipeline is hampered by the tension between formal evidence and clinician perceptions. For instance, when guidelines are translated into electronic clinical decision support ale
Externí odkaz:
https://doaj.org/article/4823ac0dbb6141c0b2f78057f337e387
Publikováno v:
Psych, Vol 5, Iss 1, Pp 60-69 (2023)
Opioid overdose and death from overdose continue to present a pressing problem in the United States. It is well-established that a range of social and economic factors, often referred to as social determinants of health (SDOH), are associated with in
Externí odkaz:
https://doaj.org/article/580ac9ad9adb494eb88ef073a7dcb135
Autor:
Karen C. Schliep, C. Elizabeth Shaaban, Huong Meeks, Alison Fraser, Ken R. Smith, Jennifer J. Majersik, Norman L. Foster, Jean Wactawski‐Wende, Truls Østbye, JoAnn Tschanz, James F. Padbury, Surrendra Sharma, Yue Zhang, Julio C. Facelli, C. Samir Abdelrahman, Lauren Theilen, Michael W. Varner
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 15, Iss 2, Pp n/a-n/a (2023)
Abstract Introduction Women with hypertensive disorders of pregnancy (HDP) have an increased risk of cardiovascular disease. Whether HDP is also associated with later‐life dementia has not been fully explored. Methods Using the Utah Population Data
Externí odkaz:
https://doaj.org/article/401db92c54ec485dad5ef39b427fa188
Publikováno v:
Journal of Clinical and Translational Science, Vol 7, Pp 89-89 (2023)
OBJECTIVES/GOALS: Diabetes is a group of chronic metabolic diseases and significant gaps remain in our understanding of disease etiology, treatment regimens, and diabetes-related complications. The objective of study is to demonstrate how informatics
Externí odkaz:
https://doaj.org/article/f4646beddd5d4b80bd56de7f3ed033e2
Publikováno v:
Journal of Clinical and Translational Science, Vol 4, Pp 61-68 (2020)
AbstractIntroduction:Poor clinical trial (CT) recruitment is a significant barrier to translating basic science discoveries into medical practice. Improving support for primary care provider (PCP) referral of patients to CTs may be an important part
Externí odkaz:
https://doaj.org/article/5f14e6ac1c804459a926522cafa157d3
Autor:
Janette Vazquez, Samir Abdelrahman, Loretta M. Byrne, Michael Russell, Paul Harris, Julio C. Facelli
Publikováno v:
Journal of Clinical and Translational Science, Vol 5 (2021)
Abstract Introduction: Lack of participation in clinical trials (CTs) is a major barrier for the evaluation of new pharmaceuticals and devices. Here we report the results of the analysis of a dataset from ResearchMatch, an online clinical registry,
Externí odkaz:
https://doaj.org/article/8946270756bb4ce284111775e87236cb
Autor:
Rolando Hernandez, Julio C. Facelli
Publikováno v:
Heliyon, Vol 7, Iss 1, Pp e06013- (2021)
Understanding and predicting the changes of protein structure and function upon mutation and their relationship to human health is a critical element to translate the genomic revolution into actionable interventions. Therefore, it is pertinent to exp
Externí odkaz:
https://doaj.org/article/05c89d28ae1e4bb2b71beb912dc87b3d
Publikováno v:
Journal of Clinical and Translational Science, Vol 1, Pp 53-59 (2017)
Introduction. Family health history (FHx) is an important factor in breast and ovarian cancer risk assessment. As such, multiple risk prediction models rely strongly on FHx data when identifying a patient’s risk. These models were developed using v
Externí odkaz:
https://doaj.org/article/5d6fe244a5414adbb30eb9834c6f4863
Autor:
Ram Gouripeddi, Katherine Sward, Mollie Cummins, Karen Eilbeck, Bernie LaSalle, Julio C. Facelli
Publikováno v:
Journal of Clinical and Translational Science, Vol 4, Pp 66-67 (2020)
OBJECTIVES/GOALS: Characterize formal informatics methods and approaches for enabling reproducible translational research. Education of reproducible methods to translational researchers and informaticians. METHODS/STUDY POPULATION: We performed a sco
Externí odkaz:
https://doaj.org/article/eba55a24f27e4bf9ba23b215d29854d6
Publikováno v:
Journal of Clinical and Translational Science, Vol 5, Pp 46-46 (2021)
ABSTRACT IMPACT: We explored the use of machine learning to explore how multi-pollutant air quality is related to type 2 diabetes, which is more representative than the single pollutant models often employed to assess this relationship. OBJECTIVES/GO
Externí odkaz:
https://doaj.org/article/82c1d773f2384bfc9670a52017b80bc6