We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...
Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
In a state where it almost never snows, athletes with Florida connections have made their way to the 2026 Winter Olympics. Andrew Torgashev, Josh Williamson, Brittany Bowe, Erin Jackson, Mia ...
Abstract: Accurate recognition of lung cancer histopathology images is of great importance for early diagnosis, subtype classification and prognosis prediction. WSIs, artifacts, and variability of ...
Fiction Translator v2.0 provides a professional translation environment with real-time pipeline progress, connected prose editing, and intelligent glossary management. The application uses a ...
Abstract: Analyzing the relationship between drug efficacy and sensitivity to mutational profiles is necessary for the effective treatment of complex diseases such as cancer. Particularly, cancerous ...
The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
OSLO, Feb 5 (Reuters) - Norway's DNO (DNO.OL), opens new tab, the largest oil producer in Iraq's Kurdistan region, said on Thursday it was considering joining an agreement that allows companies to ...
SGX posts record half‑year profit Market volatility boosts FX and commodity derivatives IPO pipeline strengthens, triple last year's tally Feb 5 (Reuters) - Singapore Exchange (SGXL.SI), opens new tab ...
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