A model developed by LMU biophysicists demonstrates how biological processes form the convoluted internal architecture of the ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

In order to show the effectiveness of the proposed model, one real multispectal and two hyperspectral dataset were experimented with the SVSA, LSVM, nonlinear SVM and the HSVSA in the classification.

Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...

Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture ...

Liver disease modelling: This liver model reconstructs the liver periportal region architecture, is able to model aspects of cholestatic liver injury and biliary fibrosis, and can show how ...

Current AI algorithms employing attention mechanisms, such as transformers, perceiver and flamingo models, are inspired by the capabilities ... Adeel evaluated his adapted transformer architecture in ...

Variables were pre-selected using cluster dendrograms and subsequently refined using logistic regression with backward elimination and Support Vector Machine (SVM) models. A final risk scoring model ...