| Autor: |
Gomez, Adriana Morales, Staff, Nathan, Ekker, Stephen C. |
| Zdroj: |
Journal of Clinical & Translational Science; 2024 Suppl 1, Vol. 8, p117-117, 1p |
| Abstrakt: |
This document is an abstract from the Journal of Clinical & Translational Science. The first section discusses a study on the potential of transcriptional adaptation as a mechanism for rare Amyotrophic lateral sclerosis (ALS). The researchers used CRISPR-Cas9 to generate a premature termination codon in the CHCHD10 gene and observed changes in protein and gene expression. The second section describes a machine learning approach to predicting high-risk irritability trajectories in adolescents using data from the Adolescent Brain Cognitive Development (ABCD) Study. The study identified four different trajectories of irritability and used baseline variables to develop predictive models. The document provides insights into potential mechanisms for ALS and the prediction of irritability in adolescents. [Extracted from the article] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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