Results 101 to 110 of about 171,614 (301)

Lactate receptor HCAR1 in neonatal hypoxic–ischemic seizures

open access: yesEpilepsia, EarlyView.
Abstract Hydroxycarboxylic acid receptor 1 (HCAR1) is a G‐protein‐coupled lactate receptor expressed in the brain and plays a role in neuronal excitability and repair after injury. Hypoxic–ischemic encephalopathy (HIE) is the most common cause of brain injury and seizures in term neonates.
Jennifer Burnsed   +11 more
wiley   +1 more source

Detection of the t(2;13) chromosomal translocation in alveolar rhabdomyosarcoma using the reverse transcriptase-polymerase chain reaction [PDF]

open access: bronze, 1996
Karen C. Arden   +4 more
openalex   +1 more source

Disease Site‐Specific Outcomes in p16‐Positive Non‐Oropharyngeal Mucosal Head and Neck Cancer

open access: yesHead &Neck, EarlyView.
ABSTRACT Objectives To report disease‐free survival (DFS) in p16‐positive non‐oropharyngeal head‐and‐neck squamous‐cell carcinoma (HNSCC). Methods Curatively‐treated non‐oropharyngeal HNSCC (2009–2021) were reviewed. DFS was compared among p16‐positive, p16‐negative, and p16‐untested cases for the overall cohort and by disease site.
Revadhi C. Chelvarajah   +21 more
wiley   +1 more source

THE APLICATION OF REVERSE TRANSCRIPTASE-POLYMERASE CHAIN REACTION FOR THE DIAGNOSIS OF CANINE DISTEMPER

open access: yesJurnal Veteriner, 2008
A study was conducted to apply reverse transcriptase-polymerase chain reaction (RT-PCR) technique for the confirmative diagnosis of canine distemper in dogs. Twenty mongreal dogs with clinical symptoms of canine distemper were used in this study.
I Nyoman Suartha   +6 more
doaj  

When to test for COVID-19 using real-time reverse transcriptase polymerase chain reaction: a systematic review. [PDF]

open access: yesInt J Infect Dis, 2022
Dos Santos PG   +7 more
europepmc   +1 more source

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

open access: yesInterdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai   +11 more
wiley   +1 more source

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