Tatonetti Lab
The Tatonetti Lab is dedicated to making drugs safer through data analysis. Every day, millions of us or our loved ones take medications to manage our health. We trust these prescriptions to improve our lives and give us hope for a healthier future. However, these drugs can sometimes have harmful side effects or dangerous interactions. Each year, adverse drug reactions affect millions of patients and cost the healthcare industry billions of dollars. At the Tatonetti Lab, we use advanced data science methods, including artificial intelligence and machine learning, to investigate these medicines. By leveraging emerging resources such as electronic health records (EHRs) and genomics databases, we aim to identify for whom these drugs will be safe and effective—and for whom they will not.
Personal Statement
I believe that within the billions of data points generated by our healthcare system lies the key to making medications safer and more effective for everyone. My team analyzes electronic health records and genomics databases to uncover hidden patterns in drug effects and interactions. By bridging the gap between big data and precision medicine, we aim to predict for whom drugs will be safe and effective—and for whom they may pose risks. Our mission is to transform the vast landscape of healthcare data into actionable insights that protect patients and personalize treatment, making precision pharmacology not just a promise but a reality.
Nicholas Tatonetti
Breakthrough Research
The Tatonetti Lab leads data-driven precision pharmacology, pioneering approaches to drug safety and interaction discovery. Our computational methods have revealed unknown drug effects, including sex-specific risks through AwareDX and OnSIDES for extracting adverse events from FDA labels. We've advanced automated disease classification with BB-TEN, a transformer model that extracts cancer staging across 23 cancer types. Our lab's analysis of familial relationships in medical records has yielded insights into disease heritability and genetic risk factors. These tools and databases are freely available, advancing computational biomedicine and improving patient care through data-driven discoveries.
Publications
Learn more about the recent research publications from the Tatonetti Lab.
Laboratory Team
Learn more about the scientists, faculty members, investigators, and other healthcare professionals of the Tatonetti Lab, whose dedicated efforts lead to groundbreaking discoveries.
Internships
We offer summer internship opportunities every year, allowing interns to collaborate with and learn from our lab members. We welcome applications from students enrolled in a BSc or MS program. Our next application cycle will open in December 2024.
Collaborations
The Tatonetti Lab collaborates with a wide range of investigators within Cedars-Sinai and institutions around the world.
- Konrad Karczewski, PhD, Broad Institute
- Maricel Kann, PhD, University of Maryland,Baltimore County
- Annie Burns-Pieper
- Lorenzo Grego, MPH - Tempus Labs, Inc.
- Marina Sirota, PhD, University of California, San Francisco
- Tomiko Oskotsky, MD
Diversity Statement
Diversity drives innovation, and diversity of thought thrives in an environment that promotes equity, encourages inclusion and fosters a sense of safety and belonging. The Tatonetti Lab strongly supports student and lab member involvement in health disparities research and anti-racism initiatives. We seek to understand the role of systemic biases, including racism and their effect on healthcare, science and society. We are committed to the critical evaluation of our research methods and results within this context.