AIMC Topic: Humans

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Quercetagetin alleviates ischemic stroke injury by preserving macrophage/microglia homeostasis via inhibiting ACP5.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: The proinflammatory response triggered by macrophages/microglia plays a crucial role in the prognosis of acute ischemic stroke (AIS). Identifying novel targets to regulate the homeostasis of these cells is essential. Developing therapeuti...

Construction and multi-omics analysis of ccRCC mitochondrial related gene machine learning model and validate of key gene FKBP10.

International immunopharmacology
BACKGROUND: Clear cell renal cell carcinoma represents the most prevalent histological subtype of renal malignancy Emerging evidence underscores the critical involvement of mitochondrial dysfunction in oncogenesis and tumor progression. In this study...

Human activities and climate override local catchment characteristics in explaining long-term phytoplankton trends in prairie lakes.

The Science of the total environment
Lakes across the globe are experiencing growing ecological pressure from climate change and human activities. In prairie regions, these pressures often result in shifts in phytoplankton abundance, a key indicator of water quality. Yet identifying the...

A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis.

ACS sensors
The lack of effective optimization strategies hinders the optimal performance of paper-based microfluidic analytical devices (μPADs). In this work, a Machine Learning-driven Computer vision-BP Neural Networks-Genetic Algorithm-based Cyclic Optimizing...

TuNa-AI: A Hybrid Kernel Machine To Design Tunable Nanoparticles for Drug Delivery.

ACS nano
Artificial intelligence (AI) has the potential to transform nanoparticle development for drug delivery; however, existing strategies typically optimize either material selection or component ratios in isolation. To enable simultaneous optimization of...

A New Approach to Large Multiomics Data Integration.

Analytical chemistry
Data reduction and data mining are common practices for handling large-scale data from wide-ranging sources, but high-dimensional omics and imaging data sets present difficult challenges for feature extraction and data mining due to the large number ...

Prediction Model of Intradialytic Hypertension in Hemodialysis Patients Based on Machine Learning.

Journal of medical systems
The escalating global burden of chronic kidney disease (CKD), particularly end-stage renal disease (ESRD), has intensified reliance on hemodialysis (HD), imposing substantial financial and operational burdens on healthcare systems and patients. Intra...

Uncloggable ventriculoperitoneal shunt system for hydrocephalus via an integrated soft robotic device: CLEARS device.

Biomedical microdevices
Ventriculoperitoneal (VP) shunt obstruction, often caused by protein and fat accumulation at the ventricular catheter ports, impedes cerebrospinal fluid (CSF) outflow, increases intracranial pressure (ICP), and leads to hydrocephalus. Current treatme...

Multi-class machine learning-based classification of SCID-related genetic variants.

Immunologic research
BACKGROUND: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). Th...

Microfluidic-assisted analysis of extracellular vesicles for advanced biomedical applications.

Chemical communications (Cambridge, England)
Extracellular vesicles are lipid bilayer-enclosed nanoparticles that play a crucial role in intercellular communication by transporting bioactive molecules across cells, tissues, and even organisms. Although certain aspects of EV biogenesis, function...