AIMC Topic: Animals

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Emerging therapeutic strategies in muscular dystrophy: an updated review on pathogenesis and treatment advances.

Molecular biology reports
Muscular dystrophy (MD) comprises a class of genetic conditions characterized by the progressive degeneration and weakness of skeletal muscle. Genetic etiologies differ among the major muscular dystrophies: myotonic dystrophy type 1 (DM1) is linked t...

Cell death-associated genes as novel diagnostic biomarkers for autism spectrum disorder.

Apoptosis : an international journal on programmed cell death
Autism spectrum disorder (ASD) involves neuroinflammation and dysregulated neuronal death but lacks objective diagnostic biomarkers. This study investigated whether cell death could serve as a molecular basis for ASD diagnosis. We identified cell dea...

Primate-informed neural network for visual decision-making.

Proceedings of the National Academy of Sciences of the United States of America
The human brain excels at complex tasks with remarkable efficiency, adaptability, and resilience, making it a powerful source of inspiration for AI. Here, we present a neural dynamics model inspired by the primate dorsal visual pathway, a circuit cru...

Self-reconfigurable robotic fish swarms: Collective achievement of diverse locomotion and challenging aquatic tasks.

Science advances
Conventional aquatic robots are typically constrained by fixed morphology and single-mode locomotion, limiting adaptability to unstructured environments. Inspired by the diverse fin-driven locomotion strategies of natural fish, we present a self-reco...

Leveraging AI for cell biology discovery.

Biochemical Society transactions
Artificial intelligence (AI) has become a transformative tool in cell biology, driving discoveries through the analysis of complex biological data. This review explores the diverse applications of AI, including its impact on microscopy, imaging, drug...

Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach.

Neuroinformatics
This study addresses the important question of how neuron model choice and learning rules shape the classification performance of Spiking Neural Networks (SNNs) in bio-signal processing. By systematically contrasting Leaky Integrate-and-Fire, metaneu...

SURVEILLANCE OF WEST NILE VIRUS IN MARYLAND: INTEGRATING SMART VECTOR IDENTIFICATION WITH ENVIRONMENTAL AND EPIDEMIOLOGICAL INSIGHTS.

Journal of the American Mosquito Control Association
This study presents an integrated, operational mosquito surveillance effort conducted in Anne Arundel County, Maryland, during the 2023 and 2024 seasons, revealing substantial variation in Culex pipiens s.l. abundance and West Nile virus (WNV) infect...

EVALUATING VECTECH IDX™: AI-DRIVEN IDENTIFICATION FOR ENHANCED VECTOR MANAGEMENT.

Journal of the American Mosquito Control Association
Assessing and advancing cutting-edge technologies that are designed to optimize mosquito surveillance strategies is crucial given the complex challenges presented by our rapidly changing environments. Vectech's Identification-X (IDX) machine offers a...

Bioinspired cross-medium wall-climbing robot with high-performance adhesion and contact adaptability.

Science advances
Wall-climbing robots (WCRs) using numerous attachment/grasping mechanisms replace humans in executing repetitive or challenging tasks in space-confined, high-risk, or radioactive environments, garnering substantial research interest. Nevertheless, th...

A Machine Learning-Driven Electrophysiological Platform for Real-Time Tumor-Neural Interaction Analysis and Modulation.

Nature communications
Neural-tumor electrophysiology-marked by pathological membrane potentials and ion channel dysregulation-emerges as actionable targets to curb tumor aggression. Yet, how neural-driven bioelectrical crosstalk dynamically regulates tumors within functio...