AIMC Topic: Animals

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'Applications of machine learning in liposomal formulation and development'.

Pharmaceutical development and technology Jan 11, 2025
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the design and optimization of liposomal formulations. This review focuses on the intersection of ML and liposomal technology, highlighting how advanced algo...
Chemistry, Pharmaceutical Drug Delivery Systems Animals Drug Development Humans Drug Liberation Machine Learning Liposomes Drug Compounding
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Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment.

Journal of hazardous materials Jan 10, 2025
Point of departure (POD) is a concept used in risk assessment to calculate the reference dose of exposure that is likely to have no appreciable risk on health. POD can be directly utilized from no observed adverse effect levels (NOAEL) which is the d...
No-Observed-Adverse-Effect Level Toxicity Tests Hazardous Substances Machine Learning Humans Animals Risk Assessment
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Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Meat science Jan 10, 2025
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts we...
Red Meat Neural Networks, Computer Paraspinal Muscles Animals Pork Meat Hydrogen-Ion Concentration Swine Deep Learning Hyperspectral Imaging Principal Component Analysis Cooking Least-Squares Analysis
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Toward collaborative artificial intelligence development for animal well-being.

Journal of the American Veterinary Medical Association Jan 10, 2025
This review focuses on opportunities and challenges of future AI developments in veterinary medicine, from the perspective of computer science researchers in developing AI systems for animal behavior analysis. We examine the paradigms of supervised l...
Behavior, Animal Veterinary Medicine Artificial Intelligence Animals Animal Welfare Humans
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Bioinspired Smart Triboelectric Soft Pneumatic Actuator-Enabled Hand Rehabilitation Robot.

Advanced materials (Deerfield Beach, Fla.) Jan 10, 2025
Quantitative assessment for post-stroke spasticity remains a significant challenge due to the encountered variable resistance during passive stretching, which can lead to the widely used modified Ashworth scale (MAS) for spasticity assessment dependi...
Adult Humans Stroke Rehabilitation Animals Middle Aged Female Equipment Design Muscle Spasticity Male Convolutional Neural Networks Aged Hand Nephropidae Robotics Stroke
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Machine Learning-Driven Prediction, Preparation, and Evaluation of Functional Nanomedicines Via Drug-Drug Self-Assembly.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 10, 2025
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-...
Paclitaxel Nanomedicine Indomethacin Antineoplastic Agents Drug Carriers Anti-Inflammatory Agents, Non-Steroidal Humans Machine Learning Drug Delivery Systems Animals
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Machine learning models provide modest accuracy in predicting clinical impact of porcine reproductive and respiratory syndrome type 2 in Canadian sow herds.

American journal of veterinary research Jan 9, 2025
OBJECTIVE: To determine the predictive potential of the open reading frame 5 nucleotide sequence of porcine reproductive and respiratory syndrome (PRRS) virus and the basic demographic data on the severity of the impact on selected production paramet...
Animals Disease Outbreaks Swine Machine Learning Retrospective Studies Female Ontario Porcine respiratory and reproductive syndrome virus Longitudinal Studies Porcine Reproductive and Respiratory Syndrome
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Optimizing the value of bioinks and robotics to advance in vivo bioprinting.

Current opinion in biotechnology Jan 9, 2025
In vivo bioprinting strategies aim at facilitating immediate integration of engineered tissues with the host's biological system. As integral parts of current bioprinting technologies, bioinks and robotics should be holistically considered for new bi...
Ink Humans Robotics Animals Bioprinting Printing, Three-Dimensional Tissue Engineering
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Diagnostic Accuracy of Ambient Mass Spectrometry with Blood Plasma in a Murine Glioma Model Using Machine Learning.

World neurosurgery Jan 9, 2025
OBJECTIVE: Malignant glioma progresses rapidly and shows poor prognosis, but clinically applicable blood plasma-based biochemical tumor markers remain lacking. This study aimed to develop a diagnostic system using probe electrospray ionization mass s...
Brain Neoplasms Animals Male Machine Learning Biomarkers, Tumor Disease Models, Animal Mice, Inbred C57BL Cell Line, Tumor Spectrometry, Mass, Electrospray Ionization Mice Glioma
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Elephant Sound Classification Using Deep Learning Optimization.

Sensors (Basel, Switzerland) Jan 9, 2025
Elephant sound identification is crucial in wildlife conservation and ecological research. The identification of elephant vocalizations provides insights into the behavior, social dynamics, and emotional expressions, leading to elephant conservation....
Vocalization, Animal Elephants Animals Bayes Theorem Deep Learning Sound Sound Spectrography
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