Deep learning model predicts rice protein interactions from sequence data
A new deep learning framework called RCNNricePPI predicts rice protein-protein interactions from amino acid sequences, achieving an accuracy of 0.8996 ...
Tag: Deep
Deep learning model predicts multiple chromatin interaction types from DNA sequence
UniLoopNet predicts enhancer–promoter, enhancer–enhancer, CTCF-mediated, and stripe-associated chromatin interactions from DNA sequence using a multi-task deep learning framework.
Anatomy-guided AI reconstructs chest CT scans from sparse X-ray views
A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...
Magnetotelluric Survey Maps Deep Heat Sources Beneath the Northern Songliao Basin
A 107-site magnetotelluric survey of the northern Songliao Basin reveals shallow caprocks, a deep crystalline basement reservoir, mantle-linked heat sources ...
AI Learns to Hide Patient Fingerprints Hidden in Raman Spectra of Brain Tumors
An adversarial deep learning framework reduced patient-identity predictability in glioma Raman spectra from 68 percent to 12 percent while preserving ...
New deep learning dropout method sharpens enzyme prediction across fish species
A new deep learning framework called VARDON uses adaptive dropout mechanisms to improve enzyme classification in fish proteomes, with strong ...
LDNP-enhanced CNN improves COVID-19 lung CT segmentation in small dataset
A lightweight CNN combining directional texture information with original CT images improved COVID-19 infection segmentation in a computational study of ...
Hybrid model classifies 32 insect species in controlled audio dataset
A hybrid deep-learning model classified 32 insect species from 4,800 recordings with 99.90% accuracy on the InsectSet32 dataset, but independent ...
Transformer Models Show Promise for Lung Cancer Imaging
A review of 2019–2025 research finds that transformer models show promise for lung cancer detection and classification, but variable validation ...
Stacking deep learning reaches 97.2% accuracy for olive disease images
A stacking ensemble combining EfficientNet, ResNet and MobileNet classified healthy and diseased olive leaf images with 97.21% accuracy on a ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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