AIMC Topic: Machine Learning
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Machine learning to improve predictive performance of prehospital early warning scores.
Scientific reports
Jul 1, 2025
Early warning scores are used to assess acute patients' risk of being in a critical situation, allowing for early appropriate treatment, avoiding critical outcomes. The early warning scores use changes in vital signs to provide an assessment, however...
Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls.
Scientific reports
Jul 1, 2025
This study evaluated the discriminative potential of a machine learning model using movement features during functional tasks to distinguish between patients with non-traumatic chronic neck pain and asymptomatic controls. The study included patients ...
Medium-sized protein language models perform well at transfer learning on realistic datasets.
Scientific reports
Jul 1, 2025
Protein language models (pLMs) can offer deep insights into evolutionary and structural properties of proteins. While larger models, such as the 15 billion parameter model ESM-2, promise to capture more complex patterns in sequence space, they also p...
Fabrication of serum-based SERS-tailored 3D structures for thyroid cancer diagnosis.
Scientific reports
Jul 1, 2025
Early detection of thyroid cancer improves patient survival rate from 51.9% to 99.9%. Fine needle aspiration cytology is the primary method for diagnosing thyroid cancer; however, this method is associated with limitations, including diagnostic uncer...
Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.
Scientific reports
Jul 1, 2025
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in hepatocellular carcinoma, establish a prediction model for spontaneous rupture bleeding via a machine learning algorithm, and validate and evaluate the ...
Machine learning developed LKB1-AMPK signaling related signature for prognosis and drug sensitivity in hepatocellular carcinoma.
Scientific reports
Jul 1, 2025
Hepatocellular carcinoma (HCC) is one of the most common tumors worldwide, posing a significant threat to the life and health of people globally. LKB1-AMPK signaling pathway plays a significant role in the regulation of cellular metabolism, prolifera...
Sentiment classification for telugu using transformed based approaches on a multi-domain dataset.
Scientific reports
Jul 1, 2025
Sentiment analysis is an essential component of Natural Language Processing (NLP) in resource-abundant languages such as English. Nevertheless, poor-resource languages such as Telugu have experienced limited efforts owing to multiple considerations, ...
Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.
Scientific reports
Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh...
A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides.
Scientific reports
Jul 1, 2025
Interleukin-6 (IL-6) is a cytokine with diverse biological activities that contribute to a variety of physiologic and immune responses. IL-6-inducing peptides are the short protein fragments that are critical for playing a contributing role in biolog...
Trimodal machine learning based biometrics system.
Scientific reports
Jul 1, 2025
Biometrics-based authentication systems have recently been considered as one of the safest methods to secure our data or possessions. In the literature, the solutions based on one or two measurable traits are broadly described. There was also claim t...
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