AIMC Topic: Mice

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New artificial neural network models for risk assessment of skin sensitization using amino acid derivative assay, KeratinoSens™, human cell line activation test and in silico structural alert parameter.

Regulatory toxicology and pharmacology : RTP
In the next-generation risk assessment (NGRA) of skin sensitization, estimating the point of departure (PoD) is crucial. The murine local lymph node assay (LLNA) has been considered the 'gold standard' for evaluating the skin sensitizing potential of...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

ACS nano
Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and efficacy of therapeutic agents to tumors. In this work, utilizing anaerobic bacteria capable of seeking out hypoxic areas for flourishing, we constructed...

Magnetic-Driven Hydrogel Robots Loaded with Mitomycin for Active Therapy of Bladder Cancer.

ACS applied materials & interfaces
Intravesical drug instillation is a common treatment for bladder cancer, but it suffers from poor targeting and suboptimal patient experience due to the influence of gravity. Here, we innovatively designed a bladder cancer treatment method using sodi...

Automated analysis of mouse rearing using deep learning.

Journal of pharmacological sciences
Rodent rearing behavior is frequently assessed as an indicator of anxiety and exploratory tendencies. This study developed a convolutional recurrent neural network (CRNN) model to detect mouse rearing using overhead videos. Behavioral data from C57BL...

Enhancing R-loop prediction with high-throughput sequencing data.

NAR genomics and bioinformatics
R-loops are three-stranded RNA and DNA hybrid structures that often occur in the genome and play important roles in a variety of cellular processes from bacteria to mammals. Sequencing methods profiling R-loops genome-wide have revealed that they can...

A novel predictive model and therapeutic potential of quercetin derivatives in chronic kidney disease progression.

Biochemical pharmacology
Chronic kidney disease (CKD) remains a pressing global health issue with limited therapeutic options. The loss of nephrons is a crucial pathological change driving CKD progression, influenced by diverse programmed cell death (PCD) pathways, yet the p...

Screening of bioactive compounds and deep learning-driven quality control of Angong Niuhuang pills.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound preparation, is widely used to treat stroke and other brain disorders. However, owing to the complexity of herbal components and diversity of production...

A machine-learning-based approach to predict early hallmarks of progressive hearing loss.

Hearing research
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...

Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An Open-Source Platform for Automatic Sleep Staging of Rodent Electrocorticographic and Electromyographic Data.

Journal of biological rhythms
Accurately capturing the temporal distribution of polysomnographic sleep stages is critical for the study of sleep function, regulation, and disorders in higher vertebrates. In laboratory rodents, scoring of electrocorticography (ECoG) and electromyo...

Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.

Nature neuroscience
From visual perception to language, sensory stimuli change their meaning depending on previous experience. Recurrent neural dynamics can interpret stimuli based on externally cued context, but it is unknown whether they can compute and employ interna...