AIMC Topic: Animals

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Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

BMC musculoskeletal disorders
Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the relevant biomarkers remain unclear. This study sought to identify key genes associated with adipogenesis in the context of muscle aging. Firstly, gene expre...

Systems biology of Haemonchus contortus - Advancing biotechnology for parasitic nematode control.

Biotechnology advances
Parasitic nematodes represent a substantial global burden, impacting animal health, agriculture and economies worldwide. Of these worms, Haemonchus contortus - a blood-feeding nematode of ruminants - is a major pathogen and a model for molecular and ...

Predicting phototaxis of almond moth, Cadra cautella (Walker) using ANN models: insights for wavelength and intensity as key factors.

Pest management science
BACKGROUND: The almond moth, Cadra cautella (Walker), is a significant pest of stored products globally, causing severe damage and contamination. This insect was reported to have attraction towards light and this phenomenon can be exploited for its m...

High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.

Journal of neuroscience methods
BACKGROUND: The Lateral Geniculate Nucleus (LGN) is an essential contributor to high-level visual processing despite being an early subcortical area in the visual system. Current LGN computational models focus on its basic properties, with less empha...

Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.

International journal of biometeorology
The corn leafhopper (CL), Dalbulus maidis (DeLong & Wolcott) (Hemiptera: Cicadellidae), has become the most important corn pest in Brazil and other corn-producing countries. This highly efficient insect vector transmits corn stunting pathogens result...

SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images.

Computers in biology and medicine
Caenorhabditis elegans is a great model for exploring organismal, cellular, and subcellular biology through optical and fluorescence microscopy, with its research applications steadily expanding. However, manual processing of numerous microscopic ima...

Development of a machine learning-based tension measurement method in robotic surgery.

Surgical endoscopy
BACKGROUND: Over 300,000 colorectal surgeries are performed annually in the U.S. with up to 10% complicated by anastomotic leaks, which cause significant morbidity and mortality. Despite its significant association with anastomotic leaks, tension is ...

Functional Imaging of CYP3A4 at Multiple Dimensions Using an AI-Driven High Performance Fluorogenic Substrate.

Small (Weinheim an der Bergstrasse, Germany)
Cytochrome P450 3A4 (CYP3A4) is a key mediator in xenobiotic metabolism and drug-drug interactions (DDI), developing orally active fluorogenic substrates for sensing and imaging of a target enzyme in biological systems remains challenging. Here, an a...

Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound.

IEEE transactions on bio-medical engineering
OBJECTIVE: Targeted blood-brain barrier (BBB) opening using focused ultrasound (FUS) and micro/nanobubbles is a promising method for brain drug delivery. This study aims to explore the feasibility of multiple instance learning (MIL) in accurate and f...

Quadrupole Magnetic Tweezers for Precise Cell Transportation.

IEEE transactions on bio-medical engineering
This research introduces a quadrupole magnetic tweezers which can be used for precise cell transportation by actuating magnetic spherical microrobots. The focus of the system is on navigating and manipulating cells within environments characterized b...