Tag: Machine learning

A landmark comparison of the two leading plasma proteomic platforms across 11 cohorts shows which protein measurements travel reliably between ...

A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...

Researchers combined a graph autoencoder, an attention-equipped graph convolutional network, and a slime-mould-inspired optimizer to locate hidden faults in smart ...

Researchers at the University of Tehran have developed a hybrid deep learning framework called RAME that achieves 0.87 R-squared accuracy ...

A major review in the Journal of Neurology charts three years of advances in diagnosing and treating vertigo, from stroke-detecting ...

A benchmark of deep learning and tree-based models shows that one-month drought early warning is achievable in Morocco's Atlas mountains, ...

A new systematic review and meta-analysis finds that machine learning models can predict speech-in-noise performance with moderate to high accuracy, ...

A new critical review argues that artificial intelligence has accelerated epitope prediction for multi-epitope vaccines, but chemical developability, nanocarrier formulation ...

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...

An open-source MATLAB and COMSOL software tool called VDMM-BESP automates batch finite element simulation, statistical analysis, and machine learning inversion ...