Lab profile
About KrauthammerLab
The KrauthammerLab focuses on applying computational and machine learning methods to clinical and genomic data. Their research spans clinical data science, genome data science, translational bioinformatics, and speech and cognition, aiming to improve patient care through data-driven approaches in areas such as cancer genomics, precision medicine, and clinical decision support.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Deidentification Pipeline (M2P2)Multilingual de-identification techniques for medical records.
- Liquid BiopsyComputational solutions to improve liquid biopsies.
- Single-cell multi-omics analysisInvestigating skin cancers using single-cell multi-omics.
- AttentionDDIPredicting drug drug interactions for enhancing patient safety.
- BEDICT modelsPredicting base editing efficiencies in both lab cells and living models.
- Drug Synergy PredictionPredicting drug synergy for enhancing therapeutic effectiveness.
- Emergency care outcome predictionML models rapidly stratify patient cardiac risk in emergency settings.
- PRIDICTPredicting prime editing efficiencies and optimizing prime editing guide RNA (pegRNA) design.
- Systemic Sclerosis Subtype AnalysisGenerative DL models patient trajectories.
- Data-driven psychiatryModeling speech and behavior to support mental health research and assessment.
- Protein DesignGenerative AI for protein fitness optimization.
- Automated Image AnalysisAI-assisted diagnosis in rheumatology.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- A hierarchical reinforcement learning and predictive control framework for automated multi-variable anesthesia.Computers in biology and medicine · 2026
- From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting.JAMIA open · 2026
- Heart Rate Variability Integrated into a Longitudinal Multimodal Model to Predict Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.Bioengineering (Basel, Switzerland) · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- A Social Update from the Krauthammer LabNewsOct 21, 2025 · krauthammerlab.ch
- Lab Social UpdateNewsOct 20, 2025
- AI to support the early diagnosis of Systemic Sclerosis (SSc)PublicationNov 26, 2024 · krauthammerlab.ch
- Late Autumn social updateNewsNov 26, 2024 · krauthammerlab.ch
- Lab Outing: Küsnacht walkEventJun 19, 2023 · krauthammerlab.ch
- Zoo visit and Christmas dinnerEventJun 19, 2023 · krauthammerlab.ch
- Lab Ski TripEventJun 19, 2023
- Interpretable Machine LearningNewsApr 21, 2023 · krauthammerlab.ch
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.