AI Model Combines Transformers and Language Embeddings to Predict miRNA–Disease Links
A new transformer-based framework called THIMDA fuses multi-modal microRNA and disease representations to predict disease associations with high accuracy.
Tag: transformers
AI Doctor Swarm Mirrors Hospital Referrals to Sharpen Disease Prediction
A new decentralized multi-agent AI framework that mirrors hospital referral hierarchies outperformed monolithic transformer models in predicting diagnoses from electronic ...
Tiny Transformer Reads 95 Million Student Clicks in Minutes, Explains Its Predictions in Real Time
A new framework called EKT-XAI processes 95 million student interactions in minutes using a lightweight transformer that matches deep knowledge ...
AI Language Model Learns the Grammar of RNA Sequences
A self-supervised language model called NucleicBERT offers researchers a new computational lens on the vast and poorly charted space of ...
New AI Tracks Solar Filaments in Both Directions to Sharpen Space Weather Forecasts
Researchers have developed BF-TrackFormer, a bidirectional deep learning method that tracks solar filaments through splitting and fragmentation to improve space ...
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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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