AIMC Topic: Animals

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VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Accurate detection of vessel bifurcation points from mesoscopic whole-brain images plays an important role in reconstructing cerebrovascular networks and understanding the pathogenesis of brain diseases. Existing detection m...

Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay.

Scientific reports
Bhas 42 cell transformation assay (CTA) has been used to estimate the carcinogenic potential of chemicals by exposing Bhas 42 cells to carcinogenic stimuli to form colonies, referred to as transformed foci, on the confluent monolayer. Transformed foc...

Identification of public submitted tick images: A neural network approach.

PloS one
Ticks and tick-borne diseases represent a growing public health threat in North America and Europe. The number of ticks, their geographical distribution, and the incidence of tick-borne diseases, like Lyme disease, are all on the rise. Accurate, real...

Rapid detection of α-amanitin and β-amanitin in rat plasma by ultra-performance liquid chromatography-tandem mass spectrometry and its application to the toxicokinetic study of Lepiota brunneoincarnata.

Forensic toxicology
PURPOSE: Lepiota brunneoincarnata is a well-known poisonous mushroom and is responsible for fatal mushroom poisoning cases worldwide. α-Amanitin and β-amanitin are the main amatoxin compounds of Lepiota brunneoincarnata. However, there are no publish...

The Whale Optimization Algorithm Approach for Deep Neural Networks.

Sensors (Basel, Switzerland)
One of the biggest challenge in the field of deep learning is the parameter selection and optimization process. In recent years different algorithms have been proposed including bio-inspired solutions to solve this problem, however, there are many ch...

Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.

BMC bioinformatics
BACKGROUND: Deep learning is an active bioinformatics artificial intelligence field that is useful in solving many biological problems, including predicting altered epigenetics such as DNA methylation regions. Deep learning (DL) can learn an informat...

Lateral bending and buckling aids biological and robotic earthworm anchoring and locomotion.

Bioinspiration & biomimetics
Earthworms () are characterized by soft, highly flexible and extensible bodies, and are capable of locomoting in most terrestrial environments. Previous studies of earthworm movement focused on the use of retrograde peristaltic gaits in which control...

Comparative Study on the Efficacy of MF 59, ISA70 VG, and Nano-Aluminum Hydroxide Adjuvants, Alone and with Nano-Selenium on Humoral Immunity Induced by a Bivalent Newcastle+Avian Influenza Vaccine in Chickens.

Archives of Razi Institute
Newcastle disease (ND) and Avian influenza (AI) are the major problems and the most economically important viral diseases in the poultry industry; therefore, vaccination against these diseases is considered one of the most effective ways of preventio...

Antioxidant Activity of Rosmarinic Acid Extracted and Purified from .

Archives of Razi Institute
Rosmarinic acid was obtained from methanolic extract of under a reflux condenser. The current study aimed to evaluate the in vitro antioxidant activities and rosmarinic acid levels of the methanol extracts of . The analysis of the sample by high-per...

Testing the effects of body depth on fish maneuverability via robophysical models.

Bioinspiration & biomimetics
Fish show a wide diversity of body shapes which affect many aspects of their biology, including swimming and feeding performance, and defense from predators. Deep laterally compressed bodies are particularly common, and have evolved multiple times in...