AIMC Topic: Mice

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Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Scientific reports
Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal cells is a potential means of reducing the graft rejection and post-transplant complications in lung transplantation. Achieving a fully recellularized ...

An integrative assay for measuring social aversion and motivation in freely behaving mice.

Cell reports methods
Social aversion is a key feature of numerous mental health disorders, yet we lack adequate behavioral tools to interrogate social aversion in model systems. Here, we developed a behavioral task-selective access to unrestricted social interaction (SAU...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Scientific reports
Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fibrosis (IPF). This study aimed to elucidate pathogenic pathways connecting obesity and IPF and identify diagnostic biomarkers for obesity-related pulmo...

Machine Learning-Based Screening of Cosmetic Ingredients Identifies Vat Blue 6 as a Thyroid Hormone Receptor β Disruptor.

Environmental science & technology
Thyroid disorders are among the most prevalent endocrine conditions worldwide, exhibiting a rising incidence and disproportionately affecting women. In this study, we hypothesized that cosmetics may contain previously unidentified thyroid-disrupting ...

Tetanus-driven biohybrid multijoint robots powered by muscle rings with enhanced contractile force.

Science advances
Biohybrid actuators using muscle rings have been limited to twitching movements and are unsuitable for sustained contractile force applications. In this study, we developed muscle rings capable of generating high contractile forces under tetanus stim...

Exploration of Predictive Potential of AI-enabled Portable System in Anticancer Drug Delivery: A Comparative Study with Modified Gompertz like Biphasic Response Model.

AAPS PharmSciTech
Mathematical models are conventionally used to understand the of tumor behaviors, but they generally lack in precisely correlating drug efficacy with tumor response. Artificial intelligence (AI) has forged a new avenue in cancer management, but requi...

Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis.

Biology direct
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive pulmonary disease characterized by alveolar structural destruction and fibrosis. In recent years, efferocytosis has been recognized as playing a crucial role in the occurrence a...

DeepEthoProfile-Rapid Behavior Recognition in Long-Term Recorded Home-Cage Mice.

eNeuro
Animal behavior is crucial for understanding both normal brain function and dysfunction. To facilitate behavior analysis of mice within their home environments, we developed DeepEthoProfile, an open-source software powered by a deep convolutional neu...

CalTrig: A GUI-Based Machine Learning Approach for Decoding Neuronal Calcium Transients in Freely Moving Rodents.

eNeuro
Advances in in vivo Ca imaging using miniature microscopes have enabled researchers to study single-neuron activity in freely moving animals. Tools such as Minian and CalmAn have been developed to convert Ca visual signals to numerical data, collecti...

Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.

Nature communications
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...