AIMC Topic: Mice
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A nanoparticulate drug-delivery system for glaucocalyxin A: formulation, characterization, increased in vitro, and vivo antitumor activity.
Drug delivery
Feb 26, 2015
Glaucocalyxin A (GLA) is a phytochemical component with multiple pharmacological activities; however, glaucocalyxin A's wider use has been restricted by its poor solubility. In this study, GLA nanosuspensions were prepared with precipitation-combined...
Computationally predicting protein-RNA interactions using only positive and unlabeled examples.
Journal of bioinformatics and computational biology
Feb 8, 2015
Protein-RNA interactions (PRIs) are considerably important in a wide variety of cellular processes, ranging from transcriptional and post-transcriptional regulations of gene expression to the active defense of host against virus. With the development...
Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.
Biochimica et biophysica acta
Nov 13, 2014
Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) has been hampered by the lack of automated, deterministic methods to measure mitochondrial morphology from microscopic images. A method to quantify mit...
Sodium-Potassium-Exchanging ATPase
Stress, Physiological
Cell Membrane
Electron Transport
Cell Survival
Membrane Potential, Mitochondrial
Oxidants
Mitochondria
tert-Butylhydroperoxide
Carbonyl Cyanide m-Chlorophenyl Hydrazone
Cell Respiration
Artificial Intelligence
Phenotype
Animals
Imaging, Three-Dimensional
Mice
Cell Line
Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.
Journal of pharmacological and toxicological methods
Sep 28, 2014
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for predicting the pharmacological and/or toxicological effects that can be obtained using combined drug therapy.
Robotic adherent cell injection for characterizing cell-cell communication.
IEEE transactions on bio-medical engineering
Jul 24, 2014
Compared to robotic injection of suspended cells (e.g., embryos and oocytes), fewer attempts were made to automate the injection of adherent cells (e.g., cancer cells and cardiomyocytes) due to their smaller size, highly irregular morphology, small t...
Reduction of photobleaching effects in photoacoustic imaging using noise agnostic, platform-flexible deep-learning methods.
Journal of biomedical optics
Dec 1, 2025
SIGNIFICANCE: Molecular photoacoustic (PA) imaging with exogenous dyes faces a significant challenge due to the photobleaching of the dye that can compromise tissue visualization, particularly in 3D imaging. Addressing this limitation can revolutioni...
Innovative application of confocal Raman spectroscopy and Machine learning in cardiovascular diseases identification.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 5, 2025
Myocardial hypertrophy and heart failure are leading causes of mortality in cardiovascular diseases, yet current diagnostic techniques lack the resolution to monitor molecular changes effectively. In this study, we employed confocal Raman spectroscop...
Decoding chronic stress: From behavioral-molecular dynamics in mice to clinical implications of cortisol and IL-17 in depression severity.
Journal of affective disorders
Sep 15, 2025
BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset and severity. This study adopts a translational approach, utilizing a mouse model and a clinical cohort to explore the relationship between chronic str...
Call category classification of the isolation-induced ultrasonic vocalizations emitted by BTBR TItpr3/J mouse pups exposed to different perinatal diets.
Brain research
Sep 1, 2025
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive behaviors/restricted interests that may be diagnosed as early as 2 years of age. This suggests that the pathology underlying the disorder is present du...
Integration of multi-omics data and machine learning to identify antioxidant biomarkers in type 1 diabetes.
Free radical biology & medicine
Aug 16, 2025
The identification of biomarkers for early diagnosis and monitoring the progression of Type 1 Diabetes (T1DM) is essential for improving disease management. This study integrates multi-omics data with machine learning to identify antioxidant stress p...
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