AIMC Topic: Machine Learning
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Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach.
Scientific reports
Aug 3, 2025
With the growth of social media, people are sharing more content than ever, including X posts that reflect a variety of emotions and opinions. AI-generated synthetic text, known as deepfake text, is used to imitate human writing to disseminate mislea...
Cross-subject EEG signals-based emotion recognition using contrastive learning.
Scientific reports
Aug 3, 2025
Electroencephalography (EEG) signals based emotion brain computer interface (BCI) is a significant field in the domain of affective computing where EEG signals are the cause of reliable and objective applications. Despite these advancements, signific...
The Predictive Value of Serum Total IgE for Antihistamine Treatment Outcomes in Chinese Patients with Chronic Spontaneous Urticaria.
Acta dermato-venereologica
Aug 3, 2025
Chronic spontaneous urticaria is a common skin disorder with variable treatment responses. Second-generation H1-antihistamines are the first-line treatment for chronic spontaneous urticaria, yet many patients fail to respond to licensed doses. Predic...
Interpretable bioinformatics approaches for pheochromocytoma bioactivity and protein interaction analysis.
Computers in biology and medicine
Aug 2, 2025
Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notably involving the oncogenic c-Myc/Max and c-Myc/c-Max protein complexes. Despite their pivotal role in tumor progression, the molecular interactions and...
Multi-omics analysis of plasma and CSF in spontaneous diabetic cynomolgus monkeys: Unravelling and validating the key molecular markers that predict the preclinical pathological formation of Alzheimer's disease.
Computers in biology and medicine
Aug 2, 2025
Alzheimer's disease (AD) biomarkers (Aβ42 or Tau 181) have high diagnostic performance. However, when they are altered, it indicates that irreversible pathology has developed in the brain. Therefore, there is a lack of early prediction or monitoring ...
Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.
Scientific reports
Aug 2, 2025
To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30-day and 1-year mortality in ischemic stroke (IS) patients and to analyze the mediating effect of the HGI on the relationship between age and mortalit...
Prediction of aggregation in monoclonal antibodies from molecular surface curvature.
Scientific reports
Aug 2, 2025
Protein aggregation is one of the key challenges in the biopharmaceutical industry as its control is crucial in achieving long-term stability and efficacy of biopharmaceuticals. Attempts have been made to develop regression models for predicting the ...
The EMC acts as a chaperone for membrane proteins.
Nature communications
Aug 2, 2025
Structure formation of membrane proteins is error-prone and thus requires chaperones that oversee this essential process in cell biology. The ER membrane protein complex (EMC) is well-defined as a transmembrane domain (TMD) insertase. In this study, ...
Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.
Scientific reports
Aug 2, 2025
Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a supercritical process for formulating new pharmaceuticals. Atorvastatin, Lovastatin, and Simvastatin are statin drugs with limited solubility and low...
Using machine learning to forecast conflict events for use in forced migration models.
Scientific reports
Aug 2, 2025
Forecasting the movement of populations during conflict outbreaks remains a significant challenge in contemporary humanitarian efforts. Accurate predictions of displacement patterns are crucial for improving the delivery of aid to refugees and other ...
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