AIMC Topic: Animals
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Machine learning-driven Raman spectroscopy: A novel approach to lipid profiling in diabetic kidney disease.
Nanomedicine : nanotechnology, biology, and medicine
Jan 22, 2025
Diabetes mellitus is a chronic metabolic disease that increasingly affects people every year. It is known that with its progression and poor management, metabolic changes can lead to organ dysfunctions, including kidneys. The study aimed to combine R...
Deep proximal gradient network for absorption coefficient recovery in photoacoustic tomography.
Physics in medicine and biology
Jan 22, 2025
The optical absorption properties of biological tissues in photoacoustic (PA) tomography are typically quantified by inverting acoustic measurements. Conventional approaches to solving the inverse problem of forward optical models often involve itera...
Neuromorphic computing at scale.
Nature
Jan 22, 2025
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficien...
I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.
Journal of the Royal Society, Interface
Jan 22, 2025
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism's brain, body and environment. Insects, despite their limited computational resources, demonstrate rema...
Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.
Journal of environmental management
Jan 21, 2025
Honey bees (Apis mellifera) play an important role in our agricultural systems. In recent years, beekeepers have reported high colony mortality rates in several parts of the world. Inadequate foraging landscapes are often cited as a major factor dete...
Robotic Fast Dual-Arm Patch Clamp System for Mechanosensitive Excitability Research of Neurons.
IEEE transactions on bio-medical engineering
Jan 21, 2025
OBJECTIVE: A robotic fast dual-arm patch clamp system with controllable mechanical stimulation is proposed in this paper for mechanosensitive excitability research of neurons in brain slice.
iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control.
Nature communications
Jan 21, 2025
Quality control (QC) in mass spectrometry (MS)-based proteomics is mainly based on data-dependent acquisition (DDA) analysis of standard samples. Here, we collect 2754 files acquired by data independent acquisition (DIA) and paired 2638 DDA files fro...
Genomic and algorithm-based predictive risk assessment models for benzene exposure.
Frontiers in public health
Jan 21, 2025
AIM: In this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.
Using machine learning models to predict the dose-effect curve of municipal wastewater for zebrafish embryo toxicity.
Journal of hazardous materials
Jan 20, 2025
Municipal wastewater substantially contributes to aquatic ecological risks. Assessing the toxicity of municipal wastewater through dose-effect curves is challenging owing to the time-consuming, labor-intensive, and costly nature of biological assays....
Sulfonic acid functionalized β-amyloid peptide aggregation inhibitors and antioxidant agents for the treatment of Alzheimer's disease: Combining machine learning, computational, in vitro and in vivo approaches.
International journal of biological macromolecules
Jan 20, 2025
Alzheimer's disease (AD) is characterized as a neurodegenerative disorder that is caused by plaque formation by accumulating β-amyloid (Aβ), leading to neurocognitive function and impaired mental development. Thus, targeting Aβ represents a promising...
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