AIMC Topic: Computational Biology
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Diagnostic PANoptosis-related genes in acute kidney injury: bioinformatics, machine learning, and validation.
Annals of medicine
Sep 2, 2025
BACKGROUND: Acute kidney injury (AKI) is a prevalent and life-threatening condition characterized by abrupt renal function decline and subsequent inflammatory cascades. PANoptosis has emerged as a significant contributor to the pathophysiology of AKI...
RENOVO-NF1 accurately predicts NF1 missense variant pathogenicity.
Human genomics
Aug 31, 2025
Identification of a pathogenic variant in NF1 is diagnostic for neurofibromatosis, but is often impossible at the moment of variant detection due to many factors including allelic heterogeneity, sequence homology, and the lack of functional assays. C...
Major pathophysiological changes in pulmonary disease provided a molecular insight based on deep learning approach.
Scientific reports
Aug 31, 2025
The outburst of pulmonary disorders among the society has shown the devastating effect of undergoing a delay in diagnosis and treatment. Sometimes the traditional methods in detecting and treating the airway disease fail to cure efficiently due to a ...
Combining knowledge distillation and neural networks to predict protein secondary structure.
Scientific reports
Aug 31, 2025
The secondary structure of a protein serves as the foundation for constructing its three-dimensional (3D) structure, which in turn is critical for determining its function and role in biological processes. Therefore, accurately predicting secondary s...
Enhancing pedagogical practices with Artificial Neural Networks in the age of AI to engage the next generation in Biomathematics.
Bulletin of mathematical biology
Aug 31, 2025
In this work we present a C-MATH-NN framework that extends a C-MATH framework that was developed in recent years to include prediction using artificial neural networks (NN) in a way that is engaging, interdisciplinary and collaborative to help equip ...
Exploring potential associations and biomarkers linked polycystic ovarian syndrome with atherosclerosis via comprehensive bioinformatics analysis, machine learning, and animal experiments.
Functional & integrative genomics
Aug 30, 2025
Polycystic ovary syndrome (PCOS), a common endocrine condition affecting multiple systems, is tied to atherosclerosis (AS) progression among reproductive-aged women. The present study aimed to explore the underlying associations and uncover potential...
Utility of the continuous spectrum formed by pathological states in characterizing disease properties.
NPJ systems biology and applications
Aug 29, 2025
Understanding diseases as the result of continuous transitions from a healthy system is more realistic than understanding them as discrete states. Here, we designed the spectrum formation approach (SFA), a machine learning-based method that extracts ...
A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease.
Lipids in health and disease
Aug 29, 2025
BACKGROUND: Kidney stone disease (KSD) is a growing global health concern, with obesity (OB) as a major risk factor linked to metabolic dysfunction and chronic inflammation. Although the common method for evaluating OB is body mass index (BMI), it is...
The effect of taxonomic, host-dependent features and sample bias on virus host prediction using machine learning and short sequence k-mers.
Scientific reports
Aug 27, 2025
Metaviromic studies of potential emerging infection reservoirs led to discovery of many novel viruses. Since metaviromes contain viruses from target host, its food or other sources, fast and robust approaches are needed to predict hosts of unknown vi...
ADAMTS2 mediates epithelial‒mesenchymal transition and inflammation in high-grade serous ovarian cancer: a study based on bioinformatic analyses and experiments.
BMC cancer
Aug 26, 2025
BACKGROUND: The importance of epithelial‒mesenchymal transition (EMT) in tumour invasion and metastasis in high-grade serous ovarian cancer (HGSOC) has been highlighted in numerous studies, but genetic biomarkers for predicting EMT in HGSOC are still...
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