AIMC Topic: Animals
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Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.
PloS one
Aug 11, 2025
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...
Advancements in the investigation of the mechanisms underlying cognitive aging.
Biogerontology
Aug 10, 2025
Cognitive aging, a pivotal domain at the intersection of neuroscience and psychology, exhibits a strong association with neurodegenerative disorders; however, its comprehensive underlying mechanisms remain incompletely elucidated. This review aims to...
Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.
Nature communications
Aug 9, 2025
Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies for treating advanced or recurrent tumors. However, gold ion's dynamic thiol exchange nature strongly attenuates its bioactivity due to the fast forma...
Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.
Scientific reports
Aug 9, 2025
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif...
Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.
Hereditas
Aug 8, 2025
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response....
Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds.
BMC genomics
Aug 8, 2025
BACKGROUND: Shandong's local duck breeds are renowned for their outstanding egg-laying performance and are regarded as valuable assets within China's waterfowl germplasm. Understanding the genetic characteristics of these populations, along with moni...
Deep learning model enables the discovery of a novel BET inhibitor YD-851.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Aug 7, 2025
BET inhibitor is a novel strategy in tumor therapy based on targeting epigenetic mechanism. In recent decades, dozens of clinical trials have been conducted to validate the potential efficacy of the first-generation BET inhibitors in refractory cance...
Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level.
Communications biology
Aug 7, 2025
Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease. The molecular understanding of ALS is hampered by the lack of experimental models recapitulating disease heterogeneity and analytical framework integrating multi-omics dataset...
From molecular chaos to precision medicine in the treatment of cardiac hypertrophy: A rational use of natural products by integrating artificial intelligence and multi-omics data.
Pharmacological research
Aug 6, 2025
Given the intricate and multifactorial molecular mechanisms underlying cardiac hypertrophy (CH), conventional pharmacological treatments often face significant challenges in achieving disease reversal. This review presents an innovative approach to t...
Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.
Scientific data
Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al...
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