AIMC Topic: Animals
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Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.
Environmental science & technology
Jul 14, 2025
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...
The apportionment of dietary diversity in wildlife.
Proceedings of the National Academy of Sciences of the United States of America
Jul 14, 2025
Evaluating species' roles in food webs is critical for advancing ecological theories on competition, coexistence, and biodiversity but is complicated by pronounced dietary variability within species and overlap across species. We combined dietary DNA...
Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.
Journal of robotic surgery
Jul 14, 2025
Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synthetic biology, and intelligent computation to create a novel frontier in precision medicine. This review critically discusses the most recent experime...
Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.
Nature communications
Jul 14, 2025
Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope of stem cell biology. Clinically, the functional quality of HSCs critically influences the safety and therapeutic efficacy of stem cell therapies. Howe...
Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study.
Journal of robotic surgery
Jul 13, 2025
To create a deep neural network capable of recognizing basic surgical actions and categorizing surgeons based on their skills using video data only. Nineteen surgeons with varying levels of robotic experience performed three wet lab tasks on a porcin...
The role of artificial intelligence for dengue prevention, control, and management: A technical narrative review.
Acta tropica
Jul 12, 2025
Dengue fever remains a significant global health threat, particularly in tropical and subtropical regions, where rapid urbanization and climate variability exacerbate its spread. Traditional surveillance and control systems often struggle with delaye...
Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.
Nature communications
Jul 12, 2025
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an Image...
Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence.
Nature communications
Jul 12, 2025
The rise of antibiotic-resistant pathogens, particularly gram-negative bacteria, highlights the urgent need for novel therapeutics. Drug-resistant infections now contribute to approximately 5 million deaths annually, yet traditional antibiotic discov...
A deep learning approach for objective evaluation of microscopic neuro-drilling craniotomy skills.
Computers in biology and medicine
Jul 11, 2025
BACKGROUND: Minimally invasive microscopic and endoscopic neurosurgery demands precise use of high-speed micro-drilling tools to prevent potential complications. Present-day neuro-drilling training methods include cadaveric specimens and surgical sim...
Machine-Learning-Driven Discovery of -Phenylbenzenesulfonamides as a Novel Chemotype for Lactate Dehydrogenase A Inhibition with Anti-Pancreatic Cancer Activity.
Journal of medicinal chemistry
Jul 11, 2025
Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in aerobic glycolysis. Despite extensive efforts, the structural diversity of LDHA inhibitors remains limited. Here, we utilized machine learning techniqu...
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