A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...
In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...
First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...
Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...
There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
Neoantigens are unique markers that distinguish only cancer cells. By adding B cell reactivity, cancer vaccines can move ...
Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Rapid global population aging is reshaping healthcare systems, with older adults accounting for an increasing share of disease burden, healthcare ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results