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Two AI models have achieved gold medal standard for the first time in a prestigious competition for young mathematicians – ...
Cells called astrocytes are about as abundant in the brain as neurons, but scientists have spent much less time figuring out ...
Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...
AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...
Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...
CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Deep learning has revolutionized data processing by recognizing complicated patterns using multi-layered neural networks. Encoding complex data like hyperspectral photos may help deep learning models ...
CTSMamba is a multitask deep learning model trained on longitudinal CT images of neoadjuvant chemotherapy-treated locally advanced gastric cancer that accurately predicts lymph node metastasis and ...
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