FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
The patent reinforces Rail Vision’s global IP protection building on previous approvals in regions including the United ...
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal ...
At ELRIG 2025 Dr Barak Gilboa of Novo Nordisk unveiled a suite of AI-enabled approaches that turn brightfield microscopy from ...
LittleTechGirl on MSN
The AI cell counter that lives in the biosafety cabinet
Modern biology runs on precision, yet so much of the daily lab workflow remains stubbornly manual. Even today, one of ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...
BrainChip Holdings Ltd., a leader in commercial production high-performance, ultra-low-power, event-based neuromorphic ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...
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