AIMC Topic: Humans
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Enhanced glioma semantic segmentation using U-net and pre-trained backbone U-net architectures.
Scientific reports
Aug 29, 2025
Gliomas are known to have different sub-regions within the tumor, including the edema, necrotic, and active tumor regions. Segmenting of these regions is very important for glioma treatment decisions and management. This paper aims to demonstrate the...
Optimized hierarchical CLSTM model for sentiment classification of tweets using boosted killer whale predation strategy.
Scientific reports
Aug 29, 2025
Opinion mining is more challenging than it was before because of all the user-generated material on social media. People use Twitter (X) to gather opinions on products, advancements, and laws. Sentiment Analysis (SA) examines people's thoughts, feeli...
DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongue.
Scientific reports
Aug 29, 2025
This study aimed to develop and evaluate deep convolutional neural network (DCNN) models with Grad-CAM visualization for the automated classification with interpretability of tongue conditions-specifically glossitis and oral squamous cell carcinoma (...
Personalized health monitoring using explainable AI: bridging trust in predictive healthcare.
Scientific reports
Aug 29, 2025
AI has propelled the potential for moving toward personalized health and early prediction of diseases. Unfortunately, a significant limitation of many of these deep learning models is that they are not interpretable, restricting their clinical utilit...
Adipose tissue gene expression and longitudinal clinical phenotypes are early biomarkers of lipid-regulating drug usage.
Scientific reports
Aug 29, 2025
Cardiovascular disease progression is characterised by the dysregulation of lipid metabolism and pro-atherogenic effects of adipose tissue signalling. Recent findings from the analysis of transcriptomic data in bulk tissue has enabled these insights ...
An attention-based mRNA transformer network for accurate prediction of melanoma response to immune checkpoint inhibitors.
Scientific reports
Aug 29, 2025
Melanoma immunotherapy urgently requires approaches that can accurately predict drug responses to minimize unnecessary treatments. Deep learning models have emerged as powerful tools in this domain due to their robust predictive capabilities. Integra...
Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients with pancreatic cancer.
Scientific reports
Aug 29, 2025
Pancreatic cancer is aggressive with high recurrence rates, necessitating accurate prediction models for effective treatment planning, particularly for neoadjuvant chemotherapy or upfront surgery. This study explores the use of variational autoencode...
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 ...
Using deep learning to predict internalizing problems from brain structure in youth.
Translational psychiatry
Aug 29, 2025
Internalizing problems (e.g., anxiety and depression) are associated with a wide range of adverse outcomes. While some predictors of internalizing problems are known (e.g., their frequent co-occurrence with neurodevelopmental (ND) conditions), the bi...
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation.
JMIR medical informatics
Aug 29, 2025
BACKGROUND: Osteoporotic vertebral fractures (OVFs) are common in older adults and often lead to disability if not properly diagnosed and classified. With the increased use of computed tomography (CT) imaging and the development of radiomics and deep...
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