activity
20192023
most citedDeveloping a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions

39 citations · 43 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 1 cited

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…

cs.AI2022★ 39 cited

Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions

Sanya B. Taneja, Tiffany J. Callahan, Mary F. Paine +4

Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are co-consumed with pharmaceutical drugs. Understanding mechanisms of NPDIs is key…

cs.DB2022★ 1 cited

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29

Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…

cs.CL2021

Introducing Information Retrieval for Biomedical Informatics Students

Sanya B. Taneja, Richard D. Boyce, William T. Reynolds +1

Introducing biomedical informatics (BMI) students to natural language processing (NLP) requires balancing technical depth with practical know-how to address application-focused nee…

cs.CL2019★ 2 cited

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage

Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik +2

Fine-grained Entity Recognition (FgER) is the task of detecting and classifying entity mentions to a large set of types spanning diverse domains such as biomedical, finance and spo…