Autism

Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction.

Social robots are increasingly being used in therapeutic contexts, especially as a complement in the...

Deep Visual Proteomics maps proteotoxicity in a genetic liver disease.

Protein misfolding diseases, including α1-antitrypsin deficiency (AATD), pose substantial health cha...

Designing Clinical Trials for Patients With Rare Cancers: Connecting the Zebras.

The field of rare cancer research is rapidly transforming, marked by significant progress in clinica...

Machine Learning and Structural Dynamics-Based Approach to Reveal Molecular Mechanism of PTEN Missense Mutations Shared by Cancer and Autism Spectrum Disorder.

Missense mutations in oncogenic proteins that are concurrently associated with neurodevelopmental di...

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...

The differential diagnosis of autism spectrum disorder in adults.

INTRODUCTION: Diagnosing autism spectrum disorder (ASD) in adults is challenging due to its heteroge...

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data.

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, ...

Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.

Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical ...

Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children.

Research investigating the prenatal chemical exposome and child neurodevelopment has typically focus...

Comparative analysis of AI models in disseminating genetic counseling knowledge for gynecologic cancers.

FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.

Diffusion MRI (dMRI) offers unique insights into the microstructure of fetal brain tissue in utero. ...

A high-throughput differential chemical genetic screen uncovers genotype-specific compounds altering plant growth.

The identification of chemical compounds regulating plant growth in a genetic context can greatly en...

Leveraging artificial intelligence for diagnosis of children autism through facial expressions.

The global population contains a substantial number of individuals who experience autism spectrum di...

Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...

Transforming breast cancer diagnosis and treatment with large language Models: A comprehensive survey.

Breast cancer (BrCa), being one of the most prevalent forms of cancer in women, poses many challenge...

Common genetic variants do not impact clinical prediction of methotrexate treatment outcomes in early rheumatoid arthritis.

BACKGROUND: Methotrexate (MTX) is the mainstay initial treatment of rheumatoid arthritis (RA), but i...

Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles.

Autism spectrum disorder (ASD) presents significant challenges in diagnosis and intervention due to ...

Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavai...

Advanced stability prediction and mechanism study of goji berry beverage via ultrasound-assisted homogenization utilizing genetic algorithm-based backpropagation neural networks.

Traditional cloudy goji berry beverages (CGBs) preparation methods often cause irreversible phase se...

Random forest and Shapley Additive exPlanations predict oxytocin targeted effects on brain functional networks involved in salience and sensorimotor processing, in a randomized clinical trial in autism.

Intranasal oxytocin (IN-OXT) has shown some promises in rescuing social deficits in autism spectrum ...

Revolutionizing hematological disorder diagnosis: unraveling the role of artificial intelligence.

The integration of artificial intelligence (AI) into medical diagnostics is transforming the landsca...