AIMC Topic: Animals

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Experimental study and geometrical method to design bio-inspired robotic kinematic chains of inching-locomotion caterpillars.

Bioinspiration & biomimetics
Inching-locomotion caterpillars (ILAR) show impressive environmental adaptation, having high dexterity and flexibility. To design robots that mimic these abilities, a novel bioinspired robotic design (BIROD) method is presented. The method is compose...

Scoping Review of Deep Learning Techniques for Diagnosis, Drug Discovery, and Vaccine Development in Leishmaniasis.

Transboundary and emerging diseases
, a single-cell parasite prevalent in tropical and subtropical regions worldwide, can cause varying degrees of leishmaniasis, ranging from self-limiting skin lesions to potentially fatal visceral complications. As such, the parasite has been the subj...

Effectiveness of animal-assisted therapy and pet-robot interventions in reducing depressive symptoms among older adults: A systematic review and meta-analysis.

Complementary therapies in medicine
BACKGROUND: Systematic reviews suggest that animal-assisted therapy (AAT) and pet-robot interventions (PRI) achieve a reduction in mental health variables such as depressive symptoms. However, these systematic reviews include both randomised and non-...

Advancements in microneedle fabrication techniques: artificial intelligence assisted 3D-printing technology.

Drug delivery and translational research
Microneedles (MNs) are micron-scale needles that are a painless alternative to injections for delivering drugs through the skin. MNs find applications as biosensing devices and could serve as real-time diagnosis tools. There have been numerous fabric...

Analysis of KangDuo-SR-1500 and KangDuo-SR-2000 robotic partial nephrectomy from an operative and ergonomic perspective: a prospective controlled study in porcine models.

Journal of robotic surgery
The objective of this study is to explore the safety and effectiveness of two new models of KangDuo surgical robots for partial nephrectomy in porcine models, and evaluate the ergonomic characteristics from both subjective and objective perspectives....

Engineers use a porcine heart scaffold to create a bio-robotic model of the right ventricle.

Artificial organs
The simulator can provide a dynamic and sophisticated platform to further aid in the study of the right heart in an era where numerous technologies are rapidly emerging in this space.

The probable future of toxicology - probabilistic risk assessment.

ALTEX
Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasing...

Individual honey bee tracking in a beehive environment using deep learning and Kalman filter.

Scientific reports
The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There are numerous ways for thousands of bees in a hive to communicate with one another. Individual trajectories and social interactions are thus complex b...

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.

Chemical research in toxicology
Despite being extremely relevant for the protection of prenatal and neonatal health, the developmental toxicity (Dev Tox) is a highly complex endpoint whose molecular rationale is still largely unknown. The lack of availability of high-quality data a...

Invariant Molecular Representations for Heterogeneous Catalysis.

Journal of chemical information and modeling
Catalyst screening is a critical step in the discovery and development of heterogeneous catalysts, which are vital for a wide range of chemical processes. In recent years, computational catalyst screening, primarily through density functional theory ...