AIMC Topic: Animals

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Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials.

Psychiatry research
This study aims to systematically evaluate the efficacy of Pet robot intervention (PRI) for people with dementia. Two waves of electronic searches of the PubMed, EMBASE, Web of Science, Cochrane library, IEEE Digital Library and PsycINFO databases we...

Insulin resistance and adrenal incidentalomas: A bidirectional relationship.

Maturitas
An adrenal incidentaloma (AI) is an adrenal mass incidentally found via a radiological modality, independent of an endocrinological investigation. In this review, we aimed to investigate the possible reasons behind the increased frequency in AI detec...

Smart Plasmonic Nanorobot for Real-Time Monitoring Cytochrome c Release and Cell Acidification in Apoptosis during Electrostimulation.

Analytical chemistry
Cytochrome c (Cyt c) release and cellular pH change are two important mediators of apoptosis. Effective methods to regulate or monitor such two events are therefore highly desired for apoptosis research and cancer cell therapy. Herein, we exploited e...

Porcine single nucleotide polymorphisms and their functional effect: an update.

BMC research notes
OBJECTIVE: To aid in the development of a comprehensive list of functional variants in the swine genome, single nucleotide polymorphisms (SNP) were identified from whole genome sequence of 240 pigs. Interim data from 72 animals in this study was publ...

Development of a real-time nucleic acid sequence-based amplification assay for the rapid detection of Salmonella spp. from food.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Salmonella spp. is one of the most common foodborne infectious pathogen. This study aimed to develop a real-time nucleic acid sequence-based amplification (NASBA) assay for detecting Salmonella in foods. Primers and a molecular beacon targeting the S...

A Primer on Data Analytics in Functional Genomics: How to Move from Data to Insight?

Trends in biochemical sciences
High-throughput methodologies and machine learning have been central in developing systems-level perspectives in molecular biology. Unfortunately, performing such integrative analyses has traditionally been reserved for bioinformaticians. This is now...

A neural data structure for novelty detection.

Proceedings of the National Academy of Sciences of the United States of America
Novelty detection is a fundamental biological problem that organisms must solve to determine whether a given stimulus departs from those previously experienced. In computer science, this problem is solved efficiently using a data structure called a B...

CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.

Iranian journal of allergy, asthma, and immunology
Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in animal models. This study aims to determine the immunogenicity of CbpM, CbpG and CbpL proteins of Streptococcus pneumoniae in a mice model. The genes w...

High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.

Nature communications
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherap...