Latest AI and machine learning research in autism for healthcare professionals.
The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due to its association with morbidity and mortality in later life. Previous studies have found that genetic variants inherited at birth can begin to exert their effects on cardiometabolic traits during the early stages of the lifecourse. In this study, we have conducted genome-wide association studies (...
The post-genomic era has raised a growing demand for efficient procedures to identify protein functions, which can be accomplished by applying machine learning to the characteristics set extracted from the protein. This approach is feature-based and has been the focus of several works in bioinformatics. In this work, we investigated the characteristics of proteins, representing the primary, second...
Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental outcomes based on the location or number of lesions. This study ...
Understanding landscape connectivity has become a global priority for mitigating the impact of landscape fragmentation on biodiversity. Connectivity m...
BACKGROUND: Accurate segmentation of neonatal brain tissues and structures is crucial for studying normal development and diagnosing early neurodevelo...
BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant developmental disorders in the first months of life. Thus...
The concept of scaffolding refers to the support that the environment provides in the acquisition and consolidation of new abilities. Technological ad...
Recent deep learning algorithms have further improved risk classification capabilities. However, an appropriate feature selection method is required t...
Electroencephalogram (EEG) is a non-stationary random signal with strong background noise, which makes its feature extraction difficult and recognitio...
Genetic architecture of plasma lipidome provides insights into regulation of lipid metabolism and related diseases. We applied an unsupervised machine...
Computer vision system (CVSs) are effective tools that enable large-scale phenotyping with a low-cost and non-invasive method, which avoids animal str...
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor...
The genetic etiologies of common diseases are highly complex and heterogeneous. Classic methods, such as linear regression, have successfully identifi...
Characterizing disease relationships is essential to biomedical research to understand disease etiology and improve clinical decision-making. Measurem...
Analysis of host genetic components provides insights into the susceptibility and response to viral infection such as severe acute respiratory syndrom...
Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly in use to support many areas of genomic medicine....
High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. However, due to the small changes and erratic fluct...
The noise and redundant information are the main reasons for the performance bottleneck of medical image segmentation algorithms based on the deep lea...
It has been a major challenge to systematically evaluate and compare how pharmacological perturbations influence social behavioral outcomes. Although ...