AIMC Topic: Animals

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Fusion of near-infrared and Raman spectroscopy with machine learning strategies: Non-destructive rapid assessment of freshness and TVB-N value prediction in Pacific white shrimp (Litopenaeus vannamei).

Food research international (Ottawa, Ont.)
Total volatile base nitrogen (TVB-N) is a key indicator of shrimp freshness. Nevertheless, traditional detection methods are cumbersome, time-intensive, and destructive. Here, a rapid and non-destructive method based on near-infrared (NIR) and Raman ...

LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.

Research in veterinary science
Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to assist physicians in diagnosing various disorders. However, segmenting spinal disks and bones becomes challenging in the presence of abnormalities and c...

Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.

Aquatic toxicology (Amsterdam, Netherlands)
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...

Unique bioaccumulation and biosynthesis of arsenobetaine in marine fish.

Aquatic toxicology (Amsterdam, Netherlands)
Arsenic (As) contamination represents a significant global concern, particularly prevalent in regions such as China, South Asia, and Southeast Asia. Arsenic permeates the food chain, posing potential hazards to ecosystems and human health. Studies ha...

Development and application of cell-based bioassay in aquatic toxicity assessment.

Aquatic toxicology (Amsterdam, Netherlands)
Cell-based bioassays provide a dynamic and physiologically relevant platform for investigating cellular responses to chemical, biological, and environmental stimuli. Unlike traditional biochemical assays, cell-based bioassays utilize living cells to ...

Differentiation of Healthy Ex Vivo Bovine Tissues Using Raman Spectroscopy and Interpretable Machine Learning.

Lasers in surgery and medicine
OBJECTIVES: Integrating machine learning with Raman spectroscopy (RS) shows strong potential for intraoperative guidance in orthopedic procedures, but limited algorithm transparency remains a barrier to clinician trust. This study aims to develop int...

Mechanistic exploration of hexokinase 2 and metabolism in diabetic cardiomyopathy.

Molecular medicine reports
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study employed weighted gene co‑expression network analysis to analyze the DCM transcriptome dataset from the Gene Expression Omnibus (GEO) database to ide...

In-silico evaluation of aging-related interventions using omics data and predictive modeling.

Ageing research reviews
A major challenge in aging research is identifying interventions that can improve lifespan and health and minimize toxicity. Clinical studies cannot usually consider decades-long follow-up periods, and therefore, in-silico evaluations using omics-bas...

Unmet needs in autoimmune liver diseases.

Current opinion in immunology
Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defined autoimmune liver diseases, the pathophysiology of which remains enigmatic. While major therapeutic advances have been achieved for many other autoi...

Machine learning Reveals ATM and CNOT6L as critical factors in Cataract pathogenesis.

Experimental eye research
OBJECTIVE: Cataract, a common age-related blinding eye disease, has a complex pathogenesis. This study aims to identify key genes and potential mechanisms associated with cataracts, offering new targets and insights for its prevention and treatment.