AIMC Topic: Animals

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Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.

Science advances
Sensitivity enhancement for pressure sensors over a broad linear range can improve sensing performance for a wide range of applications such as health monitoring and artificial intelligence. Here, inspired by the high-precision mechanosensory mechani...

Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens.

Communications biology
Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. This study focuses on multiple Brucella species, which...

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o...

Embodied intelligence paradigm for human-robot communication.

Science robotics
Animals leverage their full embodiment to achieve multimodal, redundant, and subtle communication. To achieve the same for robots, they must similarly exploit their brain-body-environment interactions or their embodied intelligence. To advance this a...

Ferroptosis-related hub genes and immune cell dynamics as diagnostic biomarkers in age-related macular degeneration.

European journal of medical research
BACKGROUND: Age-related Macular Degeneration (AMD) is widely acknowledged as a principal cause of vision loss in the elderly. Currently, the therapeutic interventions available in clinical practice fail to achieve satisfactory outcomes. Therefore, it...

Determination of intrinsic cellular electrical and mechanical properties using micro/nano manipulation techniques.

Soft matter
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ...

TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues.

Nature communications
The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial...

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.

Nature communications
Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio...

Identifying fish populations prone to abrupt shifts via dynamical footprint analysis.

Proceedings of the National Academy of Sciences of the United States of America
Fish population biomass fluctuates through time in ways that may be either gradual or abrupt. While abrupt shifts in fish population productivity have been shown to be common, they are rarely integrated into stock assessment or fishery management, in...

Design and realization of a low-drive bionic frog robot.

Bioinspiration & biomimetics
This paper presents the design and fabrication of a compact underdriven bionic frog robot, which is inspired by the locomotion stance of a frog. The robot's hind legs were ingeniously built using an underdriven associative 8-bar linkage mechanism wit...