AIMC Journal:
Scientific reports
Showing 801 to 810 of 5361 articles
Machine learning analysis identified NNMT as a potential therapeutic target for hepatocellular carcinoma based on PCD-related genes.
Scientific reports
Mar 3, 2025
Programmed cell death (PCD) plays a critical role in cancer biology, influencing tumor progression and treatment response. This study aims to investigate the role of PCD-related genes in hepatocellular carcinoma (HCC), identifying potential prognosti...
High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm.
Scientific reports
Mar 3, 2025
In this era of internet, e-commerce has grown tremendously and the customers are increasingly relying on reviews for product information. As these reviews influence the purchasing ability of the future customer, it can give a positive or negative imp...
Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.
Scientific reports
Mar 3, 2025
A neural network was trained to generate synthetic images of severe and moderate psoriatic plaques, after being trained on 375 photographs of patients with psoriasis taken in a clinical setting. A latent w-space vector was identified that allowed the...
Tongue shape classification based on IF-RCNet.
Scientific reports
Mar 1, 2025
The classification of tongue shapes is essential for objective tongue diagnoses. However, the accuracy of classification is influenced by numerous factors. First, considerable differences exist between individuals with the same tongue shape. Second, ...
Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.
Scientific reports
Mar 1, 2025
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the conve...
A deep ensemble learning approach for squamous cell classification in cervical cancer.
Scientific reports
Mar 1, 2025
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identif...
A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences.
Scientific reports
Mar 1, 2025
The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature of the medical data, the TMID technique of transferring the ...
Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study.
Scientific reports
Mar 1, 2025
This study aimed to develop an interpretable machine learning model to predict methylene blue (MB) responsiveness in adult patients with refractory septic shock and to identify key factors influencing MB responsiveness using the SHapley Additive exPl...
Skin cancer detection using dermoscopic images with convolutional neural network.
Scientific reports
Mar 1, 2025
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and...
A novel voice in head actor critic reinforcement learning with human feedback framework for enhanced robot navigation.
Scientific reports
Feb 28, 2025
This work presents a novel Voice in Head (ViH) framework, that integrates Large Language Models (LLMs) and the power of semantic understanding to enhance robotic navigation and interaction within complex environments. Our system strategically combine...
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