Zobrazeno 1 - 10 of 24 pro vyhledávání: '"Deborah, Lin"'
2
Drugs targeting epithelial–mesenchymal transition molecules for treatment of lichen planopilaris
Autor: Jessika Sanz, Deborah Lin, Mariya Miteva
Publikováno v: Clinical and Experimental Dermatology. 47:1642-1649
Primary cicatricial alopecia (PCA), also known as scarring alopecia, comprises a diverse group of hair disorders that cause permanent destruction of the pilosebaceous unit, resulting in disappearance of the follicular ostia. Lichen planopilaris (LPP)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9cdd7d0f290a67a8e8dcb8d94d31ea2
https://doi.org/10.1111/ced.15245
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3
Documented Reasons of Cancellation and Rescheduling of Telehealth Appointments During the Pandemic
Autor: Emre Sezgin, Deborah Lin, Lindsey Pauline, Yungui Huang, Simon Lin, Ujjwal Ramtekkar
Publikováno v: Telemedicine and e-Health
Background and Objective: The COVID-19 pandemic increased the use of telehealth around the world. The aim is to minimize health care service disruption as well as reducing COVID-19 exposure. However, one of the major operational concerns is cancellat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84300e5d0158a6cdfb668d2c1faaf44f
https://doi.org/10.1089/tmj.2020.0454
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4
Insurance delays in the approval of biologic medications for patients with psoriasis and psoriatic arthritis
Autor: Thomas Vazquez, Mahtab Forouzandeh, Deborah Lin, Felix Chin, Mariana Perez, Alberto Caban-Martinez, Andrea Maderal
Publikováno v: Archives of Dermatological Research.
Biologics are the most effective treatment for moderate-to-severe psoriasis. Insurance approval and need for prior authorization continue to be a barrier to care for many patients with psoriasis and psoriatic arthritis. We sought to determine whether
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5234363826730a1bb985145d1a73a3
https://doi.org/10.1007/s00403-022-02457-6
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7
Digital Health for the Opioid Crisis: Funding the Future (Preprint)
Autor: En-Ju Deborah Lin, Madeleine Schroeder, Yungui Huang, Simon Lin
UNSTRUCTURED The opioid crisis is ravaging economies and communities across the United States. Technology has the potential to end this crisis. Digital health offers new ways to reach, diagnose, and treat individuals with opioid use disorders. Federa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbf298c54847cbdce5a565275481d3ca
https://doi.org/10.2196/preprints.20442
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8
Akademický článek
Critical role of arcuate Y4 receptors and the melanocortin system in pancreatic polypeptide-induced reduction in food intake in mice.
Autor: Shu Lin, Yan-Chuan Shi, Ernie Yulyaningsih, Aygul Aljanova, Lei Zhang, Laurence Macia, Amy D Nguyen, En-Ju Deborah Lin, Matthew J During, Herbert Herzog, Amanda Sainsbury
Publikováno v: PLoS ONE, Vol 4, Iss 12, p e8488 (2009)
BACKGROUND: Pancreatic polypeptide (PP) is a potent anti-obesity agent known to inhibit food intake in the absence of nausea, but the mechanism behind this process is unknown. METHODOLOGY/PRINCIPAL FINDINGS: Here we demonstrate that in response to i.
Externí odkaz: https://doaj.org/article/96da940f84ef45d7a3b5ecf50a21e74a
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9
Multilevel Self-Attention Model and its Use on Medical Risk Prediction
Autor: Xianlong, Zeng, Yunyi, Feng, Soheil, Moosavinasab, Deborah, Lin, Simon, Lin, Chang, Liu
Publikováno v: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 25
Various deep learning models have been developed for different healthcare predictive tasks using Electronic Health Records and have shown promising performance. In these models, medical codes are often aggregated into visit representation without con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::6adc1e395afceeb3cf1287996d793c3c
https://pubmed.ncbi.nlm.nih.gov/31797591
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10
Multilevel Self-Attention Model and its Use on Medical Risk Prediction
Autor: Yunyi Feng, Deborah Lin, Soheil Moosavinasab, Simon Lin, Xianlong Zeng, Chang Liu
Publikováno v: PSB
Various deep learning models have been developed for different healthcare predictive tasks using Electronic Health Records and have shown promising performance. In these models, medical codes are often aggregated into visit representation without con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0956a24bfef40563eec1a6668a9091f1
https://doi.org/10.1142/9789811215636_0011
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