AI Turns Cognitive Test Data Into Images to Forecast Multiple Sclerosis Disability
Researchers converted serial cognitive reaction time data into images and used a Transformer-based deep survival model to predict disability progression ...
Researchers converted serial cognitive reaction time data into images and used a Transformer-based deep survival model to predict disability progression ...
Researchers at MIT's Senseable City Lab and international collaborators have developed a deep learning framework that converts street camera video ...
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
Researchers have developed JianduReg, a fracture-surface-guided AI framework that digitally reassembles fragmented ancient bamboo slips with greater stability and precision ...
A multimodal AI framework combining maize leaf image analysis, NASA weather data, and large language models achieved 94 percent diagnostic ...
A deep learning model trained on 45 years of Nigerian weather data predicts heatwave trends in the country's northwest with ...
Researchers at Harbin Normal University have developed WFGformer, a dual-branch transformer network that uses Haar wavelet frequency decomposition to restore ...
A deep-learning analysis of satellite radar images has produced the first monthly record of ice loss at 147 Svalbard tidewater ...
A new study explains how neural networks trained inside the forecast–analysis cycle can match ensemble Kalman filters and even iterative ...
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
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© 2025 Scienmag - Science Magazine