Results 141 to 150 of about 443,633 (293)

Inherited metabolic epilepsies–established diseases, new approaches

Epilepsia Open, EarlyView.
Abstract Inherited metabolic epilepsies (IMEs) represent the inherited metabolic disorders (IMDs) in which epilepsy is a prevailing component, often determining other neurodevelopmental outcomes associated with the disorder. The different metabolic pathways affected by individual IMEs are the basis of their rarity and heterogeneity.
Itay Tokatly Latzer, Phillip L. Pearl
wiley   +1 more source

Precision therapies for genetic epilepsies in 2025: Promises and pitfalls

Epilepsia Open, EarlyView.
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang, Emilio Perucca, Samuel F. Berkovic, Piero Perucca   +3 more
wiley   +1 more source

Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm, Manuel Milling, Andreas Triantafyllopoulos, Alexander Kathan, Annica Franziska Dörsam, Johanna Löchner, Björn Schuller, Katrin Elisabeth Giel   +7 more
wiley   +1 more source

Antagonistic histone post-translational modifications improve the fidelity of epigenetic inheritance - a Bayesian perspective. [PDF]

Epigenetics Chromatin
Prabhu BNB, Soni AN, Pillai SRB, Ramakrishnan N.   +3 more
europepmc   +1 more source

q‐Fractional Hesitant Fuzzy Multicriteria Decision‐Making Approaches for Uncertain Power System Performance Evaluation

Energy Science &Engineering, EarlyView.
Evaluating power system performance based on a q‐fractional hesitant fuzzy model. ABSTRACT This study introduces novel q‐fractional hesitant fuzzy multicriteria decision‐making (MCDM) approaches aimed at optimizing power system performance under uncertain and imprecise conditions. We extend hesitant fuzzy set theory by formulating q‐fractional hesitant
Zanyar A. Ameen, Hariwan Fadhil M. Salih, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

geneEX: An Integrated Phenotype-Driven Algorithm for Rapid Identification of Causative Variants in Monogenic Disorders. [PDF]

Mol Genet Genomic Med
Zhang J, Liu D, Chen M, Fang Y, Dai K, Zhu X, Xu Q, Hou M, Wang L, Wang J, Zhang J, Liang B, Teng X.   +12 more
europepmc   +1 more source

PRISM: privacy-preserving rare disease analysis using fully homomorphic encryption. [PDF]

Bioinformatics
Akkaya G, Erdoğmuş N, Akgün M.
europepmc   +1 more source

Genetic variants underlying precancerous conditions of hepatocellular carcinoma

International Journal of Cancer, EarlyView.
Abstract Hepatocellular carcinoma (HCC) is the most common form of liver cancer, accounting for 80% of cases worldwide. While chronic hepatitis B and C infections remain primary risk factors, emerging evidence highlights the increasing contributions of metabolic dysfunction‐associated steatotic liver disease (MASLD) and alcohol‐associated liver disease
Jonathan Jaime G. Guerrero, Paolo C. Encarnacion, Mark Angelo S. del Rosario, Matthew Aldren S. Ora, Jiayan Zhou, Kin Israel Notarte, Wan‐Chun Li, Ching‐Wen Chang   +7 more
wiley   +1 more source

Gene expression data mining by hybrid biclustering with improved GA and BA. [PDF]

Sci Rep
Wu Z, Wang J, Wang X.
europepmc   +1 more source

A Learning Model with Memory in the Financial Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh, Supun Chandrasena, Yue Shi, Abdullah Alhussaini, Claude Diebolt, Martin Enilov, Tapas Mishra   +6 more
wiley   +1 more source