TWC Faculty: Jim Hendler, Deborah L. McGuinness
Research Staff: John S. Erickson, Daniel M. Gruen, Jamie McCusker, Paulo Pinheiro, Henrique Santos, Oshani Seneviratne, Samuel Stouffer
Funding Agency/Sponsor: IBM AI Horizons

The Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS) is a five-year collaboration between Rensselaer and IBM aimed at researching how the application of advanced cognitive computing capabilities can help people to understand and improve their own health conditions.

TWC Faculty: Deborah L. McGuinness
Research Staff: Rebecca Cowan, John S. Erickson, Jamie McCusker, Paulo Pinheiro, Oshani Seneviratne
The aim of the Semantic Data Dictionary (SDD) approach is to annotate datasets such that it is machine readable, uses best practice ontologies, and follows FAIR Guiding Principles. It is a project that was developed to address machines’ difficulty in understanding data dictionaries, a standard method used to describe datasets through the use of tables that identify information about data variables’ content, description, and format. With SDD, there is an extension and integration of data from multiple domains using a common metadata standard.
TWC Faculty: Jonathan Dordick, Deborah L. McGuinness
Research Staff: Jamie McCusker

We aim to find new effective treatments for disease using existing drugs. Our approach is to gather and integrate existing data using semantic technologies to help discover promising drug repurposing.

Many diseases are based on genetic or epigenetic changes that can be targeted indirectly via upstream regulatory pathways. Targets need to have a high likelihood of affecting all possible changes, and so need to have upstream interactions that cover multiple genotypes/epigenotypes that might drive the same phenotype.