Autism

Letter to the Editor: Ambient voice technology in CAMHS - from documentation relief to outcome-accountable implementation.

Ambient voice technology has been proposed as a promising approach to reduce documentation burden in child and adolescent mental health services and neurodevelopmental settings. In response to Dineley and colleagues' discussion of responsible implementation and evidence gaps, this letter argues that ambient voice technology should be evaluated as a care-pathway intervention rather than merely as a...

Predictive value of the Alzheimer polygenic risk score on cognitive decline in patients with mild cognitive impairment and Alzheimer's disease dementia.

BACKGROUND: Polygenic risk scores for Alzheimer's disease (AD-PRS) are widely used to estimate genetic susceptibility to AD, but their relationship with the rate of cognitive decline (CD) after clinical onset remains insufficiently characterized. OBJECTIVES: To examine the association between AD-PRS and longitudinal CD across the AD spectrum and to evaluate the predictive contribution of individua...

FireMaster 550 Differentially Alters Gene Expression Underlying Synaptic Function in Amygdala of Prairie Voles After Gestational or Lactational Exposure.

Neurodevelopmental disorders often share similar behavioral diagnostic criteria including socioemotional and cognitive deficits. The prairie vole is a...

Genome-wide machine learning analysis of anosmia and ageusia with COVID-19.

The COVID-19 pandemic has caused substantial worldwide disruptions in health, economy, and society, manifesting symptoms such as loss of smell (anosmi...

Spectral signature mapping and deep learning detection of Frankincense (Boswellia Sacra) using worldview-3 imagery.

The identification of plant species in arid ecosystems relies on spectral signatures that capture their reflectance properties. Despite the ecological...

The role of "red flags" in the diagnostic work-up of hereditary transthyretin amyloidosis: a study using a machine-learning approach.

INTRODUCTION: Hereditary transthyretin amyloidosis (ATTRv) is a rare progressive, potentially life-threatening multisystem disorder caused by mutation...

Machine Learning Models Integrating CYP2C19 Genotypes for Long-Term Risk Prediction and Personalized Antiplatelet Therapy Selection in Myocardial Infarction.

Machine learning (ML) models integrating genetic and clinical data show promise for personalizing antiplatelet therapy after myocardial infarction (MI...

Pharmacogenomic and Drug Interactions Risk in Cardio-Oncology: A precision medicine perspective for India.

Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a consid...

Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.

The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitnes...

Decoding genetic basis of nitrogen use efficiency in maize using AI-generated deep phenotypes.

Improving nitrogen use efficiency (NUE) is essential for sustainable agriculture, yet conventionally measured plant characteristics have limited value...

Control Priorities for Persistent Organic Pollutant Mixture Based on Neurodevelopmental Disorders.

Long-term population-level exposure data of persistent organic pollutants (POPs) are fragmented, and chemical control strategies are often based on ex...

Structured Multimodal Deep Learning improves Genomic Prediction in Future Environments.

Predicting phenotypes from genetics and environmental inputs is a long-standing challenge in genetics and plant breeding. Deep neural networks are a p...

Antibiotic Mixture Exposure in Meconium Affects Child Neurodevelopment via Altering Early-Life Gut Microbiome and Metabolome.

Previous evidence has established associations of antibiotic exposure in early life with neurodevelopmental disorders. However, previous studies have ...

Multidisciplinary genomic evaluation reveals adult inborn errors of immunity with rheumatic features.

Multidisciplinary genomic evaluation is increasingly recognized for its diagnostic and therapeutic implications in adults with suspected inborn errors...

From phenoscope to GreenLab model of Arabidopsis to decipher genotype and treatment effects.

Arabidopsis thaliana leaf development was tracked dynamically from high-throughput phenotyping image series using the SAM-2 deep learning model, enabl...

SIMLINK Enables Accurate Variant Pathogenicity Prediction through Modeling the Gene-Variant-Feature Association Structure.

MOTIVATION: Predicting variant pathogenicity is crucial for clinical genetics. Existing approaches face two primary limitations. First, biologically, ...

Causal associations between hormone replacement therapy and brain structure: Evidence from large-scale Mendelian randomization and double machine learning.

BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone deficiency, particularly during menopause, yet its ca...

Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle.

BACKGROUND: Feed efficiency (FE) is recognized as a vital component of sustainable dairy production, with residual feed intake (RFI) serving as a key ...

DNAJC12 p.Asp44Gly associated with mild hyperphenylalaninemia and migraine-like headaches: Structural and deep learning analyses.

OBJECTIVE: DNAJC12 encodes a J-domain co-chaperone involved in the function of aromatic amino acid hydroxylases, and its deficiency is associated with...

From linear models to deep learning: statistical advances in genomic selection for animal breeding.

Genomic selection (GS) has revolutionized animal breeding by accelerating genetic gain through genome-wide marker data. As genotyping technologies adv...