AIMC Topic: Child

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AgeAnno: a knowledgebase of single-cell annotation of aging in human.

Nucleic acids research
Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell le...

Interleukin-6 and interleukin-8 levels in children with aplastic anemia and its correlation with disease severity and response to immunosuppressive therapy.

Annals of African medicine
BACKGROUND: Aplastic anemia (AA) is an uncommon condition characterized by pancytopenia and hypocellular bone marrow. Interleukin (IL)-6 and IL-8 have been shown to inhibit myelopoiesis and are major mediators of tissue damage. The primary goal of th...

Assessing the Competence of Artificial Intelligence Programs in Pediatric Ophthalmology and Strabismus and Comparing their Relative Advantages.

Romanian journal of ophthalmology
The aim of the study was to determine the knowledge levels of ChatGPT, Bing, and Bard artificial intelligence programs produced by three different manufacturers regarding pediatric ophthalmology and strabismus and to compare their strengths and weak...

Statistical and artificial intelligence techniques to identify risk factors for suicide in children and adolescents.

Science progress
BACKGROUND: Suicidal Behaviors and Thoughts are a relevant public health issue that includes suicidal ideation, non-suicidal self-harm, attempted suicide, and failed suicides. Since there is a progression of suicidal behaviors, whereby suicide is mor...

A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, heart attack, stroke, and lower limb amputation. A Clinical Decision Support System (CDSS) can assist healthcare practitioners in their daily effort a...

Use of the PARO robot as a social mediator in a sample of children with neurodevelopmental disorders and typical development.

La Clinica terapeutica
BACKGROUND: Social robotics is a research field aimed at providing robots with skills related to social behavior and natural human interaction. Many studies have demonstrated the efficacy of these robots as socio-communicative mediators. Others have ...

[Robot-assisted choledochal cyst resection in a child].

Khirurgiia
The generally accepted method for choledochal cysts is total resection of cystic extrahepatic bile ducts and gallbladder followed by biliodigestive anastomosis. Minimally invasive interventions have recently become the «gold» standard in pediatric he...

Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.

Journal of X-ray science and technology
BACKGROUND: Recently, deep learning reconstruction (DLR) technology aiming to improve image quality with minimal radiation dose has been applied not only to pediatric scans, but also to computed tomography angiography (CTA).

A Guide to MethylationToActivity: A Deep Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes in Individual Tumors.

Methods in molecular biology (Clifton, N.J.)
Genome-wide DNA methylomes have contributed greatly to tumor detection and subclassification. However, interpreting the biological impact of the DNA methylome at the individual gene level remains a challenge. MethylationToActivity (M2A) is a pipeline...