Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. ...

The Impact of Genetic and Acquired Risk Factors on Thromboembolic Events: A Retrospective Study.

This study, involving a cohort of 980 patients with arterial and/or venous events, evaluated the rel...

AncestryGeni: A novel genetic ancestry classification pipeline for small and noisy sequence data.

MOTIVATION: Efforts to address health disparities are often limited by the lack of robust computatio...

Gesture recognition and response system for special education using computer vision and human-computer interaction technology.

Gesture recognition has emerged as a pivotal technology for enhancing human-computer interaction (HC...

Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network.

Accurate risk assessment in international trade settlement has become increasingly critical as globa...

Beyond the human touch: A critical review of the promise and challenges of animal- and robot-assisted therapy in loneliness and mental healthcare.

Mental health disorders, including depression, anxiety, post-traumatic stress disorder, and dementia...

Dynamicasome-a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations.

Advances in genomic medicine accelerate the identification of mutations in disease-associated genes,...

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. Wh...

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their...

Early transcriptional responses reveal cell type-specific vulnerability and neuroprotective mechanisms in the neonatal ischemic hippocampus.

Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, se...

Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction.

Trait Genome-to-Phenome (G2P) dimensionality and "breeding context" combine to influence the realise...

Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene.

Genetic disorders commonly share features such as developmental delays, cognitive impairment, and be...

Advancing breast cancer prediction using blockchain-secured hybrid genetic algorithm.

Feature selection using evolutionary algorithms-a well-liked technique for choosing pertinent charac...

Large language models predict cognition and education close to or better than genomics or expert assessment.

Previous research using standard social survey data has emphasized a relative lack of power when pre...

A Public Dataset of Annotated Orcinus orca Acoustic Signals for Detection and Ecotype Classification.

Killer whales (Orcinus orca) exhibit significant ecological and genetic diversity, with three primar...

Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma.

Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the endocrine system. muta...

Genetic features for drug responses in cancer - Investigating an ensemble-feature-selection approach.

Predicting drug responses using genetic and transcriptomic features is crucial for enhancing persona...

Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Early infant crying provides critical insights into neurodevelopment, with atypical acoustic feature...

Gene therapy and genome editing for lipoprotein disorders.

Genetic factors play a critical role in the development of lipoprotein disorders, which significantl...

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate ...

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