Latest AI and machine learning research in autism for healthcare professionals.
Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite the critical importance of these molecular alterations, existing computational models often lack interpretability and fail to integrate essential physicochemical interactions. To overcome these limitations, we propose SheafLapNet, a predictive framew...
Schizophrenia (SCZ) is a highly heritable psychiatric disorder, yet its genetic links with chronic pulmonary diseases remain poorly defined. Such links may reflect shared biological pathways and could create opportunities for cross-disorder risk prediction and therapeutic repurposing. Here we applied a multiancestry, multitrait GWAS framework to SCZ and chronic pulmonary disease datasets. The anal...
Autism spectrum disorder (ASD) consists of a spectrum of neurodevelopmental conditions characterized by complex behavioural traits and subtle, atypica...
Early identification of animals with high growth potential is essential for enhancing efficiency and sustainability in goat breeding systems. This stu...
PURPOSE OF REVIEW: Autism spectrum disorder (ASD) is a neurodevelopmental condition with significant implications for childhood development and public...
OBJECTIVE: Successful dental implant placement relies on the proper integration of bone graft material into an area of deficient native bone. Traditio...
BACKGROUND: Influenza A virus (IAV) infection induces complex antiviral immune responses, yet how innate sensing, host genetic susceptibility, and ada...
BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases cardiovascular disease (CVD) risk, yet comprehensive a...
BACKGROUND: Diagnosing autism spectrum disorder (ASD) in adulthood is time-consuming and markedly complicated by the requirement to distinguish betwee...
Artificial intelligence (AI) has been increasingly integrated into autism interventions to support personalization and scalability; however, the stren...
Aim: We aimed to compare Quan and colleagues (2011) established weights for the Charlson Comorbidity Index (CCI) conditions to autism-specific weights...
The silkworm, Bombyx mori, is not only an economically important insect but also an increasingly promising chassis for insect synthetic biology. This ...
Nervous system activity drives both normal neurodevelopment and childhood brain cancers through paracrine and synaptic signaling. In childhood gliomas...
Cellular senescence is a complex, highly regulated cell state induced by cellular damage and stress. Senescence is central to many areas of biology, w...
PURPOSE OF REVIEW: Artificial intelligence (AI) is being rapidly but unevenly integrated into many aspects of medicine as well as society more broadly...
CNS-related conditions span tumors, vascular, neurodevelopmental, and psychiatric disorders, yet therapeutic development for CNS disorders continues t...
Autism Spectrum Disorder (ASD) is a highly heterogeneous neurodevelopmental condition characterized by significant inter-subject variability in electr...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Familial AD accounts for less than 1% of cases, while sporadic AD (SAD) accounts...
OBJECTIVES: To map the available evidence on the use of health databases for the early identification of autism spectrum disorder (ASD) across diverse...
Objective laboratory diagnostics for autism spectrum disorder (ASD) are lacking, necessitating rapid clinical screening tools. Because serum extracell...