110 citations · 113 across the 5 of their papers we have counts for
6 papers
Stale-Document Poisoning: When Outdated Retrieval Overrides Correct Model Answers
Md Shamim Ahmed, Lukas Galke Poech, Richard Röttger
Retrieval-augmented generation (RAG) is often used to address outdated knowledge by providing external evidence. But retrieval helps only when that evidence is still valid. We iden…
SYNRARE: Synthetic Rare Disease EHR Generation for ML Benchmarking
Nicolai Dinh Khang Truong, Richard Röttger
Motivation: Rare disease (RD) diagnosis is frequently delayed due to the similarities in symptoms to common disease variants. Machine Learning Algorithms applied to Electronic Heal…
ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning
Md Shamim Ahmed, Farzaneh Firoozbakht, Lukas Galke Poech +2
Biomedical knowledge graphs (KGs) treat disease associations as static facts, but temporal information is crucial for clinical reasoning, e.g., a symptom diagnostic of one disease…
Federated singular value decomposition for high dimensional data
Anne Hartebrodt, Richard Röttger, David B. Blumenthal
Federated learning (FL) is emerging as a privacy-aware alternative to classical cloud-based machine learning. In FL, the sensitive data remains in data silos and only aggregated pa…
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
Julian Matschinske, Julian Späth, Reza Nasirigerdeh +29
Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data. However, this data is o…
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal +22
Artificial intelligence (AI) has been successfully applied in numerous scientific domains. In biomedicine, AI has already shown tremendous potential, e.g. in the interpretation of…