The Strategic IP Insight Platform (SIIP): A Foundation for Discovery

Abstract

With billions at stake in new product development, acquisitions and alliances, IBM's Strategic IP insight Platform (SIIP) delivers transformative results, helping clients gain strategic insights. Applied to the pharmaceutical industry, SIIP accelerates the discovery of information to more quickly and accurately answer questions such as: which chemical compounds are good for which targets? What's the likelihood this compound will succeed? What diseases could be treated with this target? What are the candidate drugs that can be repurposed for a given disease? Applied to drug discovery in life sciences, the SIIP platform leverages and integrates a wide range of public and private content, rich set of deep analytics and a massive-scale architecture to improve patient outcomes. SIIP was born prior to the proliferation of the many big data tools available today. We describe what tools and architecture decisions have been helpful in this first phase of solution development, and what tools and architectures we are relying on as we raise our own standard for performance and service delivery.

IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research

“…For example, if a gene annotator sees examples of "P53, WEE1, and ATM" in the context of MEDLINE journal publications, it will apply machine learning and domain rules to "figure out" other words and phrases in the text that look like the genes IL17, IL1, and so on. 30,31 Deep natural language-processing and machinelearning techniques were developed so that Watson could teach itself about these concepts and comprehend the subject at a more meaningful level. Figure 3 is an example of a life sciences annotator that extracts protein relationships from unstructured text.…”

“…31,32 If the observation and interpretation of concepts are the foundation for discovery in a human's cognitive process, the next step is evaluation. 30 Humans have the ability to evaluate evidence and apply it to solve different types of problems. Evidence can be evaluated to provide a single best evidence-based answer to a query or offer several answer candidates.…”