Latest AI and machine learning research in adhd/add for healthcare professionals.
In HIV-infected, combination antiretroviral therapy (cART)-treated patients, immune activation and microbial translocation persist and associate with inadequate CD4 recovery and morbidity/mortality. We analyzed whether alterations in the toll-like receptor (TLR) pathway could be responsible for the immune hyperactivation seen in these patients. PBMC/monocyte-derived macrophages (MDMs) of 28 HIV+ u...
Electrophysiological recordings from human muscles can serve as control signals for robotic rehabilitation devices. Given that many diseases affecting the human sensorimotor system are associated with abnormal patterns of muscle activation, such biofeedback can optimize human-robot interaction and ultimately enhance motor recovery. To understand how mechanical constraints and forces imposed by a r...
Citation and coauthor networks offer an insight into the dynamics of scientific progress. We can also view them as representations of a causal structu...
Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the setting of autoimmune disorders (AID). It is known...
Transmembrane proteins (TMPs) are important drug targets because they are essential for signaling, regulation, and transport. Despite important breakt...
In this paper, we propose an unsupervised incremental learning neural network based on local distribution learning, which is called Local Distribution...
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive dis...
Mirror therapy has been performed as effective occupational therapy in a clinical setting for functional recovery of a hemiplegic arm after stroke. It...
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical...
Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and neuropsychological assessment. These methods rely on...
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral disorders in childhood and adolescence. Recently, ...
Measuring the similarity between pairs of biological entities is important in molecular biology. The introduction of Gene Ontology (GO) provides us wi...
The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far...
OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extract...
BACKGROUND: Authoring bio-ontologies is a task that has traditionally been undertaken by skilled experts trained in understanding complex languages su...
Recombination is crucial for biological evolution, which provides many new combinations of genetic diversity. Accurate identification of recombination...
BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5Â % of hospitalized patients and can result in 40-70Â % morbidity and mortality. Even followin...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modal...
The reinforcing and motivational aspects of food are tied to the release of the dopamine in the mesolimbic system (ML). Free fatty acids from triglyce...
Recent years have shown the critical importance of inter-regional neural network connectivity in supporting healthy brain function. Such connectivity ...