AIMC Topic: Animals
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Machine learning-based discovery of UPP1 as a key oncogene in tumorigenesis and immune escape in gliomas.
Frontiers in immunology
Sep 24, 2024
INTRODUCTION: Gliomas are the most common and aggressive type of primary brain tumor, with a poor prognosis despite current treatment approaches. Understanding the molecular mechanisms underlying glioma development and progression is critical for imp...
SELFNet: Denoising Shear Wave Elastography Using Spatial-temporal Fourier Feature Networks.
Ultrasound in medicine & biology
Sep 23, 2024
OBJECTIVE: Ultrasound-based shear wave elastography offers estimation of tissue stiffness through analysis of the propagation of a shear wave induced by a stimulus. Displacement or velocity fields during the process can contain noise as a result of t...
Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data.
Harmful algae
Sep 23, 2024
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phyto...
Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs.
Nature methods
Sep 23, 2024
Transposon (IS200/IS605)-encoded TnpB proteins are predecessors of class 2 type V CRISPR effectors and have emerged as one of the most compact genome editors identified thus far. Here, we optimized the design of Deinococcus radiodurans (ISDra2) TnpB ...
Untethered & Stiffness-Tunable Ferromagnetic Liquid Robots for Cleaning Thrombus in Complex Blood Vessels.
Advanced materials (Deerfield Beach, Fla.)
Sep 23, 2024
Thrombosis is a significant threat to human health. However, the existing clinical treatment methods have limitations. Magnetic soft matter is used in the biomedical field for years, and ferromagnetic liquids exhibit tunable stiffness and on-demand m...
Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair.
eLife
Sep 23, 2024
Cell division is fundamental to all healthy tissue growth, as well as being rate-limiting in the tissue repair response to wounding and during cancer progression. However, the role that cell divisions play in tissue growth is a collective one, requir...
Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks.
Bulletin of mathematical biology
Sep 23, 2024
Collective migration is an important component of many biological processes, including wound healing, tumorigenesis, and embryo development. Spatial agent-based models (ABMs) are often used to model collective migration, but it is challenging to thor...
Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.
Nature computational science
Sep 23, 2024
Reproducible definition and identification of cell types is essential to enable investigations into their biological function and to understand their relevance in the context of development, disease and evolution. Current approaches model variability...
Effect of ethanol extract of nigella sativa L seeds and propofol on BDNF protein level as neuroplasticity and neuroprotection of traumatic brain injury in rats.
F1000Research
Sep 23, 2024
BACKGROUND: Traumatic brain injury (TBI) is a change in brain function or evidence of brain pathology caused by external mechanical forces. Brain Derived Neurotrophic Factor (BDNF) is a neurotropin that functions as a neuron protective. Nigella sativ...
Differential plasma cytokine variation following X-ray or proton brain irradiation using machine-learning approaches.
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Sep 21, 2024
PURPOSE: X-ray and proton irradiation have been reported to induce distinct modifications in cytokine expression in vitro and in vivo, suggesting a dissimilar inflammatory response between X-rays and protons. We aimed to investigate the differences i...
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