Neurology

Autism

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

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Oocyte and embryo preservation in wild animals: an update.

The reduction in population genetic diversity due to inbreeding depression and the negative impact o...

An Optimized Decision Tree with Genetic Algorithm Rule-Based Approach to Reveal the Brain's Changes During Alzheimer's Disease Dementia.

BACKGROUND: It is desirable to achieve acceptable accuracy for computer aided diagnosis system (CADS...

AI, Virtual Reality, and Robots Advancing Autism Diagnosis and Therapy.

Autism spectrum disorder (ASD) is a challenge in multiple ways. Just getting diagnosed can take mont...

Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm.

BACKGROUND: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the t...

Short-Term Memory Binding Distinguishing Amnestic Mild Cognitive Impairment from Healthy Aging: A Machine Learning Study.

BACKGROUND: Amnestic mild cognitive impairment (aMCI) is the most common preclinical stage of Alzhei...

A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Man...

Fuzzy support vector machine with joint optimization of genetic algorithm and fuzzy c-means.

BACKGROUND: Motor imagery electroencephalogram (MI-EEG) play an important role in the field of neuro...

Estimation of COVID-19 epidemic curves using genetic programming algorithm.

This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm ...

Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models.

Intrinsic and acquired drug resistance is a major challenge in cancer therapy. Synergistic drug comb...

Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children?

Several studies show altered heart rate variability (HRV) in autism spectrum disorder (ASD), but fin...

[Application of artificial intelligence technology in the diagnosis and treatment of colorectal cancer].

The combination of artificial intelligence (AI) technology and medicine is an important milestone in...

Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.

IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, w...

Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes.

Morphologic interpretation is the standard in diagnosing myelodysplastic syndrome (MDS), but it has ...

Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.

Traditionally, new treatments have been developed for the population at large. Recently, large-scale...

Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques.

Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver a...

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.

BACKGROUND: Identifying genetic mutations in cancer patients have been increasingly important becaus...

Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity.

Many brain disorders - such as Alzheimer's disease, Parkinson's disease, schizophrenia and autism - ...

A Randomized Controlled Trial of an Intelligent Robotic Response to Joint Attention Intervention System.

Although there has been growing interest in utilizing robots for intervention in autism spectrum dis...

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