Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Mekibib Altaye"'
Autor:
Hailong Li, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He
Publikováno v:
NeuroImage, Vol 291, Iss , Pp 120579- (2024)
Very preterm (VPT) infants (born at less than 32 weeks gestational age) are at high risk for various adverse neurodevelopmental deficits. Unfortunately, most of these deficits cannot be accurately diagnosed until the age of 2-5 years old. Given the b
Externí odkaz:
https://doaj.org/article/c160a9f12a7b4f4895d56d9c1dddf297
Autor:
Yash J. Patil, Mohamed Yakoub, Kattia F. Moreno, Colin Cotton, Meredith E. Tabangin, Mekibib Altaye, Reena Dhanda Patil, Alice Tang, Chad Zender, Aaron Domack
Publikováno v:
Laryngoscope Investigative Otolaryngology, Vol 9, Iss 1, Pp n/a-n/a (2024)
Abstract Objective To examine if perioperative blood transfusion affects overall survival (OS) and recurrence‐free survival (RFS) in head and neck cancer patients who undergo free tissue reconstruction. Design Retrospective cohort study. Methods Th
Externí odkaz:
https://doaj.org/article/ea20ac9337c847b79f7df401004f1a66
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Asthma is a heterogeneous respiratory disease characterized by airway inflammation and obstruction. Despite recent advances, the genetic regulation of asthma pathogenesis is still largely unknown. Gene expression profiling techniques are wel
Externí odkaz:
https://doaj.org/article/8b39653943724c9c9b92a8c102465842
Language Outcomes of Children Born Very Preterm in Relation to Early Maternal Depression and Anxiety
Autor:
Sisan Cuervo, Nancy Creaghead, Jennifer Vannest, Lisa Hunter, Chiara Ionio, Mekibib Altaye, Nehal A. Parikh
Publikováno v:
Brain Sciences, Vol 13, Iss 10, p 1355 (2023)
Unaddressed maternal psychological distress within the first year postpartum is known to have numerous negative consequences on the child’s developmental outcomes, including language acquisition. This study examined the relationship between early m
Externí odkaz:
https://doaj.org/article/7ef1b77a80e84a5c888443252853d27a
Autor:
Mark W. DiFrancesco, Gregory Lee, Mekibib Altaye, Dean W. Beebe, Jamie Meyers-Eaton, Hermine I. Brunner
Publikováno v:
Arthritis Research & Therapy, Vol 22, Iss 1, Pp 1-9 (2020)
Abstract Background To measure regional brain microvascular and microstructural changes in childhood-onset SLE (cSLE) using diffusion-weighted imaging (DWI) at multiple b values and investigate relationships of those measures with neurocognitive func
Externí odkaz:
https://doaj.org/article/b9d4d50add5e4c22acab6dd2093af391
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118688- (2021)
Very preterm infants (born at less than 32 weeks gestational age) are at high risk for serious motor impairments, including cerebral palsy (CP). The brain network changes that antecede the early development of CP in infants are not well characterized
Externí odkaz:
https://doaj.org/article/d26a9f6c11554544814cf51582f45da5
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-3 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/109d160a8bc640728b2e6c3f040c3618
Autor:
Lili He, Hailong Li, Ming Chen, Jinghua Wang, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The prevalence of disabled survivors of prematurity has increased dramatically in the past 3 decades. These survivors, especially, very preterm infants (VPIs), born ≤ 32 weeks gestational age, are at high risk for neurodevelopmental impairments. Ea
Externí odkaz:
https://doaj.org/article/883dbb4ee7614cdda09f5188ef0c1788
Autor:
Joseph Beyene, Solomon W. Harrar, Mekibib Altaye, Tessema Astatkie, Tadesse Awoke, Ziv Shkedy, Tesfaye B. Mersha
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Technological advances now make it possible to generate diverse, complex and varying sizes of data in a wide range of applications from business to engineering to medicine. In the health sciences, in particular, data are being produced at an unpreced
Externí odkaz:
https://doaj.org/article/35f835cb0e69499588787ee62c04898e
Autor:
Emrah Gecili, Rui Huang, Jane C. Khoury, Eileen King, Mekibib Altaye, Katherine Bowers, Rhonda D. Szczesniak
Publikováno v:
Journal of Clinical and Translational Science, Vol 5 (2021)
Abstract Introduction: To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction mode
Externí odkaz:
https://doaj.org/article/99873bcd4237459a9ee69a4000b2dd7a