Zobrazeno 1 - 10
of 1 314
pro vyhledávání: '"P. M. Pacheco"'
Autor:
Nicholas V. Nguyen, Andres H. Guillen Lozoya, Maria A. Caruso, Maria Graciela D. Capetillo Porraz, Laura M. Pacheco-Spann, Megan A. Allyse, Amelia K. Barwise
Publikováno v:
International Journal for Equity in Health, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background Spanish-speakers with non-English language preference and complex medical needs suffer disparities in quality of care, safety, and health outcomes. Communication challenges during prolonged hospitalizations for complex illnesses n
Externí odkaz:
https://doaj.org/article/cc7a7214289d48648a60d41852d1c122
Autor:
Gavin W. Roddy, MD, PhD, Darrell Kohli, MD, Parvin Niknam, PhD, Mohammed E. Omer, MBBS, Uttio Roy Chowdhury, PhD, Kjersten J. Anderson, Johann M. Pacheco Marrero, MD, Tommy A. Rinkoski, MS, Michael P. Fautsch, PhD
Publikováno v:
Ophthalmology Science, Vol 5, Iss 1, Pp 100590- (2025)
Purpose: To investigate subconjunctival administration of a single-stranded, adeno-associated virus, serotype 2, engineered to express stanniocalcin-1 with a FLAG tag (ssAAV2-STC-1-FLAG) as a novel sustained (IOP) lowering agent with a reduced ocular
Externí odkaz:
https://doaj.org/article/616071c62b0c48ce82e846e55dd5e155
Autor:
Hiram Díaz-Cortés, Mary S. Hedges, Laura M. Pacheco-Spann, Victoria Findley, Sandra Casanova Leyva, Kaitlin M. Moran, Christopher C. DeStephano, Zhuo Li, Gerardo Colon-Otero
Publikováno v:
Preventive Oncology & Epidemiology, Vol 2, Iss 1 (2024)
Background: Human Papillomavirus (HPV) vaccination rates remain low in the U.S., particularly among minorities and low-income, uninsured patients. We report preliminary data on a pilot study program providing education and free HPV vaccination at a c
Externí odkaz:
https://doaj.org/article/a82139f0131843c08fcd9031e91f6921
Autor:
S. Rodado Mieles, R. Martín Álvarez, G. Ortega Suero, M. Pacheco Jiménez, M. Moreno Gambín, A. Velayos Galán, J. Millán Pascual, M. García Jiménez, M. Calvo Alzola, P. Araque Arroyo, B. Proy Vega, P. López Sánchez, Á. Domingo Santos
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 58- (2024)
Externí odkaz:
https://doaj.org/article/3d27cc6ec102496b8bb012dfaa724eb0
Autor:
J. Cisneros Llanos, A. Velayos Galán, A. Domingo Santos, S. Rodado Mieles, M. Calvo Anzola, M. Pacheco Jiménez, A. Rubio Peral, J. García Escribano, E. Rambalde
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 59- (2024)
Externí odkaz:
https://doaj.org/article/90167f6086d649dca92bfd5f08ce9dc1
Autor:
A. González Manero, F. Peinado Postigo, M. Pacheco Jiménez, E. López Perona, R. Martín Álvarez, E. Botia Paniagua
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 287- (2024)
Externí odkaz:
https://doaj.org/article/226df021fcd24c2da01dfb9db2e15f2a
Autor:
A. González Manero, F. Peinado Postigo, M. Pacheco Jiménez, R. Martín Álvarez, E. Botia Paniagua
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 304- (2024)
Externí odkaz:
https://doaj.org/article/4cebe5fd65ee49dda1e0332107c39294
Autor:
J. M. Pacheco, A. M. G. Tommaselli
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-2024, Pp 183-190 (2024)
Omnidirectional images are increasingly being used in various areas, such as urban mapping, virtual reality, agriculture, and robotics. These images can be generated by different acquisition systems, including multi-camera systems, which can acquire
Externí odkaz:
https://doaj.org/article/680f12a640394ede88542e73b21c22be
In most Swiss municipalities, a curbside system consisting of heavy trucks stopping at almost each household is used for non-recoverable waste collection. Due to the many stops of the trucks, this strategy causes high fuel consumption, emissions and
Externí odkaz:
http://arxiv.org/abs/2209.03644
Autor:
Matthew R. Hall, MD, Alexander D. Weston, PhD, Mikolaj A. Wieczorek, BA, Misty M. Hobbs, MD, Maria A. Caruso, BA, Habeeba Siddiqui, BA, Laura M. Pacheco-Spann, MS, Johanny L. Lopez-Dominguez, MD, Coralle Escoda-Diaz, BA, Rickey E. Carter, PhD, Charles J. Bruce, MB, ChB
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 1, Pp 131-138 (2024)
Objective: To develop a deep learning algorithm for the analysis of patch testing. Patients and Methods: A retrospective case series between January 1, 2010, and December 31, 2020, was constructed to develop a deep learning model for the classificati
Externí odkaz:
https://doaj.org/article/6233abc4d84a4b1fad106f25a87af254