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Privacy-preserving error analysis loop For ML-based extraction of oncology EHR data
ESMO AI & Digital Oncology
Publication summary
Publications
Data science
Machine learning
Data management
A pan-tumor and pan-country approach to LLM-based extraction of systemic therapies from the electronic health record
ESMO AI & Digital Oncology
Publication summary
Publications
Machine learning
Tumor agnostic
Data management
A framework for evaluating performance of LLM-based extraction from the electronic health record across different healthcare systems
ESMO AI & Digital Oncology
Publication summary
Publications
Machine learning
Quality improvement
Data management
Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical context
ESMO AI & Digital Oncology
Publication summary
Publications
Machine learning
Structuring GDPR-compliant private networks to enable LLM-Extracted oncology data on pseudonymized patient EHR data in Europe
ESMO AI & Digital Oncology
Publication summary
Publications
Data science
Machine learning
Real-world treatment patterns and survival outcomes in second and third line settings in large B-cell lymphoma
ASH Annual Meeting
Publication summary
Publications
Treatment patterns
Diffuse large B-Cell lymphoma
Real-world measurable residual disease (MRD) testing patterns and associated outcomes in patients with Philadelphia-negative B-cell acute lymphoblastic leukemia
ASH Annual Meeting
Publication summary
Publications
Real-world insights into diffuse large B-cell lymphoma from EHR-derived data in Germany and the United Kingdom
ASH Annual Meeting
Publication summary
Publications
Use and outcomes following blinatumomab rechallenge in adolescents and young adults and adults with B-cell acute lymphoblastic leukemia
ASH Annual Meeting
Publication summary
Publications
Treatment patterns
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