Data-Driven Precision Pharmacology

We are making drugs safer through the analysis of data. Everyday millions of us or our loved ones take medications to manage our health. We trust in these prescriptions to improve our lives and give us hope for a healthier future. Often, however, these drugs have harmful side effects or dangerous interactions. Adverse drug reactions are experienced by millions of patients each year and cost the healthcare industry billions of dollars. In the Tatonetti Lab we use advanced data science methods, including artificial intelligence and machine learning, to investigate these medicines. Using emerging resources, such as electronic health records (EHR) and genomics databases, we are working to identify for whom these drugs will be safe and effective and for whom they will not. Browse our databases, contribute to our projects, and join us on this journey to make precision pharmacology a reality.

New Publication: TLab Shows Accent Impacts Clinical AI Transcription

Mar 2, 2026

Interventional GI fellow Jamil Samaan, MD, MS, and Yasaman Fatapour found that widely used speech recognition AI systems make more errors for non-native English speakers, especially on clinical terminology. A simple LLM-based correction step improved accuracy and reduced variability. Preview the paper: npj Digital Medicine

TLab Awarded Three Research Grants!!

Dec 18, 2025

A strong finish to the year for the TLab! We are thrilled to share that the lab was awarded three new research grants supporting our work at the intersection of AI, biomedical data science, and translational cancer research. These awards will support new efforts in machine learning for biomedical discovery, large-scale data integration, and computational approaches to understanding disease mechanisms. A big thank you to our collaborators and funding partners who make this work possible — we’re excited to get started!

TLab Alumni enter prestigious PhD Programs!

Mar 25, 2025

Congratulations to future-doctors Jacob Berkowitz and Sophia Kivelson for accepting positions to pursue their PhDs! Jacob will be part of the inaugural Health AI PhD class here at Cedars-Sinai and Sophia will be matriculating into the Biomedical Data Sciences PhD program at Stanford University!