AIMC Topic: Animals

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Neural network-based identification for scallops (Pecten maximus) in natural marine habitats.

PloS one
The Great Atlantic scallop, or King scallop (Pecten maximus), ranks third in value after mackerel and Nephrops in UK fisheries. Its landings have surged over recent decades, making it the UK's fastest-growing fishery. Scallop stock assessments, cruci...

Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.

Nature microbiology
Filoviruses such as Ebola virus (EBOV) give rise to frequent epidemics with high case fatality rates while therapeutic options remain limited. Earlier genetic screens aimed to identify potential drug targets for EBOV relied on systems that may not fu...

Muscle-inspired elasto-electromagnetic mechanism in autonomous insect robots.

Nature communications
In nature, the dynamic contraction and relaxation of muscle in animals provide the essential force and deformation necessary for diverse locomotion, enabling them to navigate and overcome environmental challenges. However, most autonomous robotic sys...

Little-to-no industrial fishing occurs in fully and highly protected marine areas.

Science (New York, N.Y.)
There is a widespread perception that illegal fishing is common in marine protected areas (MPAs) due to strong incentives for poaching and the high cost of monitoring and enforcement. Using artificial intelligence and satellite-based Earth observatio...

Automatic porcine diarrhea viruses classification using pathological images and hybrid semantic neural network.

Computers in biology and medicine
Porcine epidemic diarrhea is a highly contagious intestinal disease in pigs, caused by various strains of porcine epidemic diarrhea virus (PEDV). The infection rate in suckling piglets can reach 100%. Manual analysis of pathological images is the pri...

Volumetric imaging and computation to explore contractile function in zebrafish hearts.

Cell reports methods
Novel insights into cardiac contractile dysfunction at the cellular level could deepen understanding of arrhythmia and heart injury, which are leading causes of morbidity and mortality worldwide. We present a comprehensive experimental and computatio...

Untangling the Postmortem Metabolome: A Machine Learning Approach for Accurate PMI Estimation.

Analytical chemistry
Accurate estimation of the postmortem interval (PMI) is crucial for medico-legal investigations, providing critical timelines for criminal cases. Current PMI methods, however, often lack precision, limiting their forensic utility. In this study, we d...

Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

eLife
Trained immunity presents a unique target for modulating the immune response against infectious and non-infectious threats to human health. To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer researc...

Research pathways from tensegrity-related biological structures to tensegrity robots: a bibliometric analysis.

Bioinspiration & biomimetics
Tensegrity describes a structural principle featuring a self-stabilizing system that consists of continuous tension elements and discontinuous compression elements. This paper undertakes a comprehensive systematic review of the overall development st...