BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
1d
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
4d
Rising Demand: Why Door-to-Door Shipping from China to Canada Has Become a Preferred Import Option
SHENZHEN, GUANGDONG, CHINA, January 9, 2026 /EINPresswire.com/ -- Shenzhen Senghor Sea & Air Logistics Co., Ltd., a ...
A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Interesting Engineering on MSN
AI meets DNA: US scientists design massive genetic circuit libraries faster than ever
New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
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