Autism

Feasibility of forecasting self-injurious behavior among autistic youth using wearable sensors and machine learning models.

Self-injurious behavior (SIB) is a substantial clinical challenge for many individuals on the autism spectrum, and support strategies are often only reactive. Forecasting of SIB could enable timely support, especially using wearable sensors, but its feasibility is not well understood. We evaluated SIB forecasting using a previously collected dataset (n = 9) comprising motion and physiological data...

The complexity of pain in osteoarthritis.

Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain adequate pain relief from these therapies. Predicting those patients who will not respond to current therapies remains a challenge. Although psychosocial, sensitivity, inflammation and genetic factors have been identified as pain mechanisms that predi...

Genetic association and machine learning improve the prediction of type 1 diabetes risk.

Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can enhance biological and therapeutic discovery and improve ...

Educational robotics and augmented reality for improving social skills of children with ADHD: A scoping review.

Attention Deficit Hyperactivity Disorder (ADHD) is the most common childhood neurodevelopment disorder that is characterized by symptoms of inattentio...

Radiomics-based outcome prediction for irinotecan-TACE in colorectal liver metastases: advanced analysis from the prospective CIREL trial.

OBJECTIVES: Transarterial chemoembolization (TACE) is a promising locoregional therapy for unresectable colorectal liver metastases, but patient selec...

Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.

Most genetic variants in the human genome reside in non-coding regions, where they can perturb regulatory element activity to influence gene expressio...

Machine learning-assisted paper-based chemiluminescence biosensor for choline quantification in infant milk: toward portable nutritional quality monitoring.

Choline is a critical micronutrient that is involved in neurotransmission, lipid metabolism, and neurodevelopment of infants. Poor consumption of chol...

Functional evaluation in adult spinal deformity can be reduced to 3 key kinematic parameters that can sufficiently predict health-related quality of life outcomes: an observational prospective study.

BACKGROUND CONTEXT: Recently, functional evaluation using 3D gait analysis (3DGA) proved to predict health-related quality-of-life (HRQOL) scores bett...

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamide in metastatic castration-sensitive prostate canc...

Precision Medicine in Autoimmune Thyroid Diseases: Decoding Biomarkers, Targeted Therapies and Digital Innovation.

INTRODUCTION: Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroiditis, arise from genetic, epigenetic, and environm...

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine learning (ML) being increasingly used to enhance pat...

Pleiotropic germline PTEN mutations influence gastrulation through dysregulated AKT activation.

PTEN hamartoma tumor syndrome (PHTS), caused by germline PTEN mutations, exhibits pleiotropic manifestations, including hamartomas, cancers, and neuro...

Quantum convolution searched binary neural networks based autism spectrum disorder detection using MRI images in cloud computing.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disease that causes discrepancies in social interaction and behavioral changes. The development...

Gene-Lifestyle Synergy in Diabetic Retinopathy Development.

PURPOSE: To develop a machine learning (ML)-driven polygenic risk score (PRS) for diabetic retinopathy (DR) and evaluate the extent to which lifestyle...

GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins.

De novo protein design has emerged as a transformative approach for generating functional proteins without relying on naturally occurring templates, o...

A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery.

Electrocardiogram (ECG) has been widely used in the diagnosis of cardiovascular disease (CVD). Current deep learning methods for CVD prediction using ...

From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.

The pediatric brain represents a dynamic biological target characterized by rapid myelination and functional reorganization, which presents unique cha...

Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.

OBJECTIVE: Phase II of MVP-CHAMPION, a federal collaboration between the Veterans Affairs Healthcare System (VA) and the Department of Energy (DoE), l...

Diagnosing autism spectrum disorders using ensemble-aided weighted fused features and attention-based residual LSTM with brain MRI images.

One of the neuro-developmental conditions is called Autism Spectrum Disorder (ASD), which causes changes in the behavior of the patients, and it delay...

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder, with manifestations ranging from steato...