Genetic Engineering & Biotechnology News (GEN) featured Data4Cure, Inc. in the article Machines Learn to Sift Big Biodata by Kristen Slawinski, Ph.D. GEN is the premier biotech publication since its launch in 1981.
Here are some highlights from the article:
“As more relevant connections are made among biological data, more meaningful conclusions can be made to drive drug discovery and development. Large datasets are a starting point for integrating and connecting data; however, there is also critical biological information that exists discreetly buried within millions of scientific publications. Accessing and linking this information requires an intelligence beyond human processing.”
“Data4Cure’s all-inclusive bioinformatics platform, the Biomedical Intelligence Cloud, is powered by a dynamic graphical knowledge base named CURIE, which uses advanced machine learning to automatically mine molecular datasets as well as published texts.”
“The robust network of biological information contained within the Biomedical Intelligence Cloud allows users to visualize their favorite biological molecule at a systems level. Even more impressive is the way in which the data can be analyzed to stratify patients into disease subtypes, a capability that can lead to predictions of therapeutic efficacy.
For example, a pathway activity analysis using patient expression data can identify immune cell-infiltrated and noninfiltrated tumor subtypes and associates them with specific genomic alterations. This information can then be used in immuno-oncology clinical trial planning by linking subtypes to treatment response.
Use of Data4Cure’s bioinformatic platform ensures an informed drug development plan which is beneficial for everyone.”
Read the full article here.