Results 181 to 190 of about 227,027 (269)

A Global Prospective Harmonization Framework for Suicidality, Anhedonia, and Obsessive‐Compulsive Symptoms in Psychiatric Genetic Studies: A Cross‐Continental Study Within the Ancestral Population Network

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga, Jacey L. Anderberg, Ana M. Ramirez‐Diaz, Andrea Horvath Marques, Catherine E. Rast, Daniel Bustamante, Deborah Jonker, Johanna Valencia‐Echeverry, Joseph Kyebuzibwa, Josselyn S. Muñoz, Kristien van der Walt, Mauricio Castaño Ramirez, Olivia Wootton, Renee M. Frederick, Rocky E. Stroud II, Ruben Gur, Sang Jin Rhee, Shaili C. Jha, Stella Gichuru, Susan Service, Victor I. Reus, Akena Dickens, Carlos Lopez‐Jaramillo, Carrie E. Bearden, Dan J. Stein, Ezra S. Susser, James J. Crowley, Jonathan Flint, Kenneth S. Kendler, Lukoye Atwoli, Michele T. Pato, Nelson B. Freimer, Roel A. Ophoff, Yong Min Ahn, Loes Olde Loohuis, Eric A. Storch, Bizu Gelaye   +36 more
wiley   +1 more source

Auditory Stimulation of Slow‐Wave Sleep Promotes Recovery after Brain Injury in an Animal Model

Annals of Neurology, EarlyView.
Objective Traumatic brain injury (TBI) significantly reduces the quality of life for millions of survivors worldwide, causing persistent brain tissue damage and cognitive impairments, with no established therapeutic interventions currently available.
Carlos G. Moreira, Adrian Müllner, Meltem Gönel, Pascal Hofmann, Filipe Teixeira, Rosa C. Paolicelli, Inês Dias, Sergio I. Nemirovsky, Christian R. Baumann, Daniela Noain   +9 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds. [PDF]

Sensors (Basel)
Liu Y, Meng X, Hu L, Bao Y, Hancock C.
europepmc   +1 more source

Association Between Healthy Lifestyle Behaviors and Mental Health Symptoms in Children With Autism and ADHD: A Latent Profile Analysis

Autism Research, EarlyView.
ABSTRACT Healthy lifestyle behaviors, including physical activity, screen time, sleep, and diet quality, are important determinants of mental health, yet little is known about how these behaviors cluster among children with neurodevelopmental disorders.
Matthew Bourke, Jacqueline L. Walker, George Thomas, Kathryn Fortnum, Martin O'Flaherty   +4 more
wiley   +1 more source

Autistic Children With Speech Onset Delay Show Reversed Bias in Spectral Versus Temporal Auditory Processing

Autism Research, EarlyView.
ABSTRACT A recent “hierarchical” reinterpretation of the neurological basis of autism suggests that in autism with early language delay, perceptual processing may be favored over the integration of transmodal information. This model is largely based on neuroimaging findings relating to visual processing, but predicts a corresponding reorganization in ...
Luodi Yu, Shuyu Xie, Li Wang, Laurent Mottron   +3 more
wiley   +1 more source

Blood pressure effects of SGLT2 inhibitors and GLP‐1 receptor agonists: Mechanisms, trial evidence and Real‐world data

British Journal of Clinical Pharmacology, EarlyView.
SGLT2 inhibitors and GLP‐1 receptor agonists modestly lower blood pressure across diverse patient populations, including those without diabetes. These effects appear largely independent of glycaemic control and offer additive value in high‐risk patients with overlapping comorbidities.
Andrej Belančić, Yusuf Ziya Sener, Marijana Vučković, Joseph Edgar Blais, Almir Fajkić, Emina Sher, Mislav Radić, Josipa Radić   +7 more
wiley   +1 more source

Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant period

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu, Zihan Qin, Logan S. Smith, Jeong M. Park, Hao‐Jie Zhu   +4 more
wiley   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source