Autism

Modulation of DNA-protein Interactions by Proximal Genetic Elements as Uncovered by Interpretable Deep Learning.

Transcription factors (TF) recognize specific motifs in the genome that are typically 6-12 bp long t...

Validation of genetic variants from NGS data using deep convolutional neural networks.

Accurate somatic variant calling from next-generation sequencing data is one most important tasks in...

Complex computation from developmental priors.

Machine learning (ML) models have long overlooked innateness: how strong pressures for survival lead...

Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models.

Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly ...

Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study.

BACKGROUND: Patients and families need to be provided with trusted information more than ever with t...

Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy.

Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notabl...

Precision engineering of biological function with large-scale measurements and machine learning.

As synthetic biology expands and accelerates into real-world applications, methods for quantitativel...

A genome-wide association study of childhood adiposity and blood lipids.

The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due t...

Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm.

The post-genomic era has raised a growing demand for efficient procedures to identify protein functi...

Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass.

Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying car...

Automatic detection of punctate white matter lesions in infants using deep learning of composite images from two cases.

Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental outcomes based...

Estimating resistance surfaces using gradient forest and allelic frequencies.

Understanding landscape connectivity has become a global priority for mitigating the impact of lands...

An automatic and accurate deep learning-based neuroimaging pipeline for the neonatal brain.

BACKGROUND: Accurate segmentation of neonatal brain tissues and structures is crucial for studying n...

Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features.

BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant develop...

Computational design of clinical trials using a combination of simulation and the genetic algorithm.

Artificial intelligence (AI) has come to be used in various technological fields in recent years. Ho...

Artificial scaffolding: Augmenting social cognition by means of robot technology.

The concept of scaffolding refers to the support that the environment provides in the acquisition an...

Genetic Risk Assessment of Nonsyndromic Cleft Lip with or without Cleft Palate by Linking Genetic Networks and Deep Learning Models.

Recent deep learning algorithms have further improved risk classification capabilities. However, an ...

Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm.

The main aim of the present study was to establish a relationship model between bio-hydrogen yield a...

Android robot was beneficial for communication rehabilitation in a patient with schizophrenia comorbid with autism spectrum disorders.

Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model : EEG signal processing.

Electroencephalogram (EEG) is a non-stationary random signal with strong background noise, which mak...

Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods.

Genetic architecture of plasma lipidome provides insights into regulation of lipid metabolism and re...