Autism

Neuroprognostication via Radiomics and Machine Learning Following Neonatal Hypoxic-Ischemic Insult.

OBJECTIVE: To produce objective predictions of neurodevelopmental outcomes after perinatal hypoxic-i...

Neuroimaging-derived brain age as a new promising biomarker in mental disorders.

Mental disorders are frequently associated with accelerated brain aging, yet the diagnostic and clas...

Early Maturation of Heart Rate Variability in Very Preterm Infants Depends on Neonatal Factors and Is Associated With Neurodevelopmental Risk.

AIM: This study investigated central autonomic network maturation deviations using a previously defi...

A Multimodal Dataset for Neurophysiological and AI Applications.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder character...

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-ass...

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increas...

Comparative analysis of BORIS, Ethovision, DeepLabCut, and SimBA for quantifying autism spectrum disorder-like behaviors in the valproic acid mouse model.

Preclinical research often relies on animal observation and subsequent behavioral analysis to study ...

Integrating environmental factors and genetic variants in machine learning to assess occupational noise impact on health.

Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as...

Unsupervised Disentanglement of Brain Heterogeneity for Identifying Subtypes of Alzheimer's Disease.

Neuroanatomical heterogeneity in Alzheimer's disease (AD) hinders precision diagnosis and treatment,...

A machine learning classifier to identify and prioritise genes associated with murine cardiac development.

Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenge...

Precision imaging and evolving therapies in paragangliomas and pheochromocytomas: from molecular diagnostics to imaging-guided management.

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors originating from neural ...

Effects of Lactiplantibacillus plantarum on moderate dyslipidemia before medication involving gut microbiota and host genetics.

In this 12-week trial, 136 participants with moderately dyslipidemia were randomly assigned to recei...

Digital transformation of Jiangxiangxing Baijiu production: integrating flavor compound analysis, machine learning recognition, and genetic algorithm blending of multi-rounds.

The blending of Jiangxiangxing Baijiu is achieved through the specific proportional blending of base...

Unraveling the Mechanistic Spectrum of Myhre Syndrome: SMAD4 Signaling Disruption, Skeletal Phenotypes, and Translational Innovation.

Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent hetero...

Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.

Synthetic biology employs engineering principles to construct genetic circuits with customized funct...

Genetic Diagnosis and Discovery Enabled by Large Language Models.

Artificial intelligence (AI) has been used in many areas of medicine, and large language models (LLM...

Importance of genetic ancestry in pharmacogenomics for precision medicine.

Genetic ancestry refers to an individual's biogeographical origins inferred from correlated allele f...

Decoding cortical folding with deep learning: toward neurodevelopmental biomarkers of psychiatric disorders.

Deep Learning Artificial Intelligence and Restriction Spectrum Imaging for Patient-level Detection of Clinically Significant Prostate Cancer on Biparametric Magnetic Resonance Imaging.

BACKGROUND AND OBJECTIVE: Our aim was to evaluate whether combining the maximum restriction score de...

Identifying genome-by-childhood trauma interactions for depression using a forest-based approach in the UK Biobank and Adolescent Brain Cognitive Development Study.

Depression is shaped by both genetic and environmental factors, but genome-wide interaction studies ...

Multiple neural networks from cognition to motivation of prosocial behaviour in rodents: Potential mechanism between empathy and autism spectrum disorder.

Prosocial behaviour, as a facet of social behaviour across species, entails voluntary actions that b...