AIMC Topic: Animals
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A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection.
Computers in biology and medicine
Dec 3, 2024
Heart diseases remain one of the leading causes of death worldwide. As a result, early and accurate diagnostics have become an urgent need for treatment and management. Most of the conventional methods adopted tend to have major drawbacks: the issues...
Identification of structural stability and fragility of mouse liver glycogen via label-free Raman spectroscopy coupled with convolutional neural network algorithm.
International journal of biological macromolecules
Dec 3, 2024
Glycogen structure is closely associated with its physiological functions. Previous studies confirmed that liver glycogen structure had two dominant states: mainly stable during the day and largely fragile at night. However, the diurnal change of gly...
Discovering geroprotectors through the explainable artificial intelligence-based platform AgeXtend.
Nature aging
Dec 3, 2024
Aging involves metabolic changes that lead to reduced cellular fitness, yet the role of many metabolites in aging is unclear. Understanding the mechanisms of known geroprotective molecules reveals insights into metabolic networks regulating aging and...
Exploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.
Scientific reports
Dec 3, 2024
Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, which can seriously harm the health of cancer patients. However, there is currently a lack of effective and reliable biomarkers for the early diagnosis of...
Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network.
PloS one
Dec 3, 2024
Ammonia is widely acknowledged to be a stressor and one of the most detrimental gases in animal enclosures. In livestock- and poultry-breeding facilities, a precise, rapid, and affordable method for detecting ammonia concentrations is essential. We d...
Cognitive process and information processing model based on deep learning algorithms.
Neural networks : the official journal of the International Neural Network Society
Dec 2, 2024
According to the developmental process of infants, cognitive abilities are divided into four stages: the Exploration Stage (ES), the Mapping Stage (MS), the Phenomena-causality Stage (PCS), and the Essence-causality Stage (ECS). The MS is a training ...
High-content imaging and deep learning-driven detection of infectious bacteria in wounds.
Bioprocess and biosystems engineering
Dec 2, 2024
Fast and accurate detection of infectious bacteria in wounds is crucial for effective clinical treatment. However, traditional methods take over 24 h to yield results, which is inadequate for urgent clinical needs. Here, we introduce a deep learning-...
ATP2A3 in Primary Aldosteronism: Machine Learning-Based Discovery and Functional Validation.
Hypertension (Dallas, Tex. : 1979)
Dec 2, 2024
BACKGROUND: Aldosterone-producing adenomas (APAs) are a common cause of primary aldosteronism that can lead to cardiovascular complications if left untreated. Machine learning-based bioinformatics approaches have emerged as powerful tools for identif...
Ambiguous animals, ambivalent carers and arbitrary care collectives: Re-theorizing resistance to social robots in healthcare.
Social science & medicine (1982)
Dec 2, 2024
Many countries are under pressure because of lack of healthcare staff to provide care to an increasingly aged population. Potential solutions are often sought through technological innovation, including social robots to cater to the patients' emotion...
Machine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing.
ACS nano
Dec 2, 2024
The development of novel detection technology for meat species authenticity is imperative. Here, we developed a machine learning-supported, dual-channel biosensor-in-microdroplet platform for meat species authenticity detection named CC-drop (RISPR/C...
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