Autism

Dango: Predicting higher-order genetic interactions.

Higher-order genetic interactions have profound implications for understanding the molecular mechanisms of phenotypic variation, yet they remain poorly characterized. Most studies focus on pairwise interactions because high-throughput screens over the vast combinatorial space are challenging. Here, we develop Dango, a computational method based on a self-attention hypergraph neural network, to pre...

FaceTrack-AOI: An AI-driven tool for automated dynamic AOI placement and eye movement analysis in face perception studies.

Face perception is fundamental to human social interaction, relying on the dynamic allocation of visual attention to facial features across natural variations in poses, expressions, lighting and context-critical factors for real-world face perception. While eye-tracking studies have advanced our understanding of this process, analyzing gaze data in naturalistic settings presents challenges due to ...

Genetic algorithm-based daily power output forecasting for energy storage power stations.

Accurate day-ahead power generation forecasting is crucial for improving the operational efficiency of energy storage power stations and enhancing the...

Integrating EEG microstate dynamics in a stacked ensemble for neurodiagnostic ASD assessment.

Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterogeneity and the current reliance on subjective beha...

Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes.

Lung ground-glass nodules (GGNs) represent a critical early imaging manifestation of lung adenocarcinoma, and exploring the relationship between their...

Amyloidosis secondary to familial Mediterranean fever: machine learning-based prediction models.

OBJECTIVES: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEFV mutations, with amyloidosis as its most severe c...

Early prediction of gestational diabetes mellitus with clinical characteristics, cell-free DNA and genetic variants.

BACKGROUND: Gestational diabetes mellitus (GDM) remains a prevalent and heterogeneous pregnancy complication with limited strategies for early identif...

Associations Between Perceived Stress and Sperm DNA Methylation Among Men Attending a Fertility Center.

BACKGROUND: Stress has been negatively associated with reproductive outcomes, including poor semen quality in men; however, the molecular mechanisms u...

Are Lemons Fast for People With Autism? Semantic and Perceptual Crossmodal Correspondences in Autism Beyond the Kiki-Bouba Effect.

Attenuated sound-shape matching in the classic Kiki-Bouba effect in autism has already been replicated in several studies, but it remains unclear whet...

Genetic algorithm-guided design of garlic-derived ligands targeting the TEN domain of telomerase reverse transcriptase with machine learning-based activity classification.

Human telomerase reverse transcriptase (hTERT) plays a key role in cancer cell immortalization and represents an important therapeutic target for anti...

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.

Leigh syndrome (Leigh) is an untreatable mitochondrial disorder characterized by lactic acidosis and basal ganglia and midbrain pathology, leading to ...

The future of follow-up: technology-enabled medical and developmental follow-up care for NICU graduates.

Premature infants are at higher risk of long-term clinical and developmental sequelae compared to their term counterparts. Specialized, multidisciplin...

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personalized strategies in current guidelines. Despite curat...

Genomic characterization and breed identification of Wannan Yellow-feathered chicken using whole-genome resequencing and machine learning.

Accurate identification of indigenous chicken breeds is fundamental for the conservation and utilization of poultry genetic resources. To enable relia...

Enhancing smart factory performance via hybrid scheduling and intelligent resource management.

The rise of connected devices since the industrial revolution has led to vast data generation and new digital challenges. A huge data from smart asset...

From evolution to rational design: AI-driven engineering of safe and highly efficient food enzymes.

As a representative area of industrial biocatalysis, food enzyme engineering plays a critical role in advancing the food industry. Recently, bioinform...

Beyond chemotherapy: The rise of nucleic acid nanoformulations in personalized lung cancer therapy.

Lung cancer remains the leading cause of cancer-related mortality worldwide, driven by complex crosstalk among genetic, molecular, and environmental f...

Identifying neuroimaging-based biomarkers for obsessive-compulsive disorder: A resting-state fMRI and machine learning study in patients and unaffected first-degree relatives.

BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent the illness itself or an underlying genetic vulnera...

Cavitation-enhanced carbonation for nano-ZnO synthesis via an ultrasonic-jet coupled reactor: Machine learning prediction and multi-objective optimization using a genetic algorithm.

Nano-sized zinc oxide (Nano-ZnO) is of significant interest in catalysis, adsorption, rubber reinforcement, and electronic devices due to its high spe...

A causal AI and explainable optimization framework for social robot design.

Mapping human-machine requirements in smart product design remains challenging. An integrated framework combining semiotic architecture product design...