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Nehal A. Parikh

Researcher at Cincinnati Children's Hospital Medical Center

Publications -  119
Citations -  3657

Nehal A. Parikh is an academic researcher from Cincinnati Children's Hospital Medical Center. The author has contributed to research in topics: Gestational age & Medicine. The author has an hindex of 26, co-authored 101 publications receiving 2879 citations. Previous affiliations of Nehal A. Parikh include Thomas Jefferson University Hospital & Memorial Hermann Healthcare System.

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Intensive care for extreme prematurity--moving beyond gestational age.

TL;DR: The likelihood of a favorable outcome with intensive care can be better estimated by consideration of four factors in addition to gestational age: sex, exposure or nonexposure to antenatal corticosteroids, whether single or multiple birth, and birth weight.
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Effect of Depth and Duration of Cooling on Deaths in the NICU Among Neonates With Hypoxic Ischemic Encephalopathy: A Randomized Clinical Trial

Seetha Shankaran, +176 more
- 24 Dec 2014 - 
TL;DR: This report focuses on safety and NICU deaths by marginal comparisons of 72 hours' vs 120 hours' duration and 33.5°C for 72 hours did not reduce NICU death, and among neonates who were full-term with moderate or severe hypoxic ischemic encephalopathy, longer cooling, deeper cooling, or both compared with hypothermia at 33.3°C.
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Effect of Therapeutic Hypothermia Initiated After 6 Hours of Age on Death or Disability Among Newborns With Hypoxic-Ischemic Encephalopathy: A Randomized Clinical Trial.

TL;DR: In this paper, the authors estimate the probability that hypothermia initiated at 6 to 24 hours after birth reduces the risk of death or disability at 18 months among infants with hypoxic-ischemic encephalopathy.
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A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes.

TL;DR: A deep transfer learning neural network framework for enhancing the classification of whole brain functional connectivity patterns and suggests that DTL-NN approaches could enhance disease classification for neurological conditions, where accumulating large neuroimaging datasets has been challenging.
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Diffusion tensor imaging of the developing human cerebrum.

TL;DR: The studies suggest that the DTI‐estimated anisotropy could be useful in following neuronal migration, cortical maturation, and associated changes in the germinal matrix during early brain development.