The Tatonetti Lab has just launched a new nSIDES.io site to serve as the home for our growing list of resources on drug safety. The new site will serve as the official resource launching platform for OnSIDES, OffSIDES, TwoSIDES, ManySIDES, and the newest member KidSIDES. Read more about these drug safety resources and how to […]
The entire Tatonetti Lab is proud to congratulate Catherine Kim on her top three placing at the Society for Science and Regeneron International Student Scientist Competition. Catherin was awarded the a Regeneron Young Scientist Award with a cash prize of $50,000 for her work in the Tatonetti Lab titled “Novel Prediction of Adverse Drug Reactions and Underlying […]
TLab member Payal Chandak was featured by the Department of Computer Science for her work on characterizing the differences in adverse drug effect reporting between men and women. Payal invented a method for data mining the FDA’s Adverse Event Reporting System to look for biases along reported sex that resulted in significantly different safety signals. […]
As a (mostly) computational lab, we count ourselves lucky to continue our work without too much disruption during the pandemic. It is probably because of this situation and the fact that we all are part of a community hit hard by the virus, that we are feeling extra motivated to do what we can to […]
Thank you to for the HUGE turnout for my 2020 TBI Year-in-Review talk! I had a wonderful time hosting my first YiR. To recap, we reviewed over 260 papers and highlighted 21 amazing translational bioinformatics papers plus an additional 11 COVID papers. The slides are available for download here.
Phyllis Thangaraj, an MD/PhD student in the lab, successfully defended her dissertation entitled “Electronic health record-derived phenotyping models to improve genomic research in stroke.” Her work explores the use of machine learning methods to transform noisy binary indicators of disease status common in electronic health records to quantitative descriptors. Dr. Thangaraj’s central hypothesis is that […]
An updated version (NSIDES pre-release v0.1) of our OFFSIDES/TWOSIDES databases is now available. As with the previous versions, this database contains adverse drug effects for single drugs (OFFSIDES) and drugs used in combination with others (TWOSIDES). This version (v0.1) of OFFSIDES contains adverse event predictions for over 9 million drug-event pairs from 3,394 drugs and […]
Dr. Tatonetti and Phyllis Thangaraj will be presenting at the American Society for Human Genetics Annual Conference, Oct 15-19. Dr. Tatonetti will be giving an invited talk on the use of EHR data for genetic analysis in the session “What about the phenotype? Integrating Electronic Health Records to Drive Discovery in Precision Health” and Phyllis […]
Phyllis Thangaraj, MD/PhD Candidate in the lab, presents her work on developing automated stroke phenotyping algorithms for the electronic health records at Columbia’s 14th Annual MD-PhD Student Research Symposium on April 25th, 2019. In addition, she was one of five poster competition winners! Read more about Phyllis in this feature article.
The 12th meeting on Genome Medicine hosted by the National Human Genome Research Institute focused on Genomics and Risk Prediction in Silver Spring, MD. Dr. Tatonetti speaks to the group about how to use commonly collected hospital data to infer millions of familial relationships between patients and use this novel resource to study disease heritability, […]