IBM Watson for Drug Discovery:
The essential cloud-based, cognitive platform for life sciences researchers

Watson for Drug Discovery helps researchers identify novel drug targets and new indications for existing drugs. The platform can help researchers uncover new connections rapidly, which may lead to new insights and scientific breakthroughs. State-of-the art cognitive capabilities synthesize broad and diverse sources of structured and unstructured, public, licensed and private content to help researchers:

Generate insights at a scale and speed beyond human capability

Improve decision making with novel, evidence backed hypotheses developed from predictive analytics to unlock hidden patterns and connections

Interact with dynamic visualizations to quickly understand gene, protein, drug, and disease interactions and identify and validate new relationships

Increase confidence in decision making and the pace of scientific breakthroughs

The end-to-end scalable solution offers unique cognitive core capabilities:

Scalable knowledge

IBM Watson for Drug Discovery has the ability to synthesize massive public and private datasets in both tabular and unstructured formats. Natural language processing enables the platform to read millions of pages of unstructured data and understand the nouns, relevant entities, interrelating verbs, and prepositions to comprehend contextual meaning. Healthcare and research language is optimized through training with domain-specific dictionaries, ontologies, and subject matter experts. Professionals can then look across content sources to unearth insights at a scale and speed beyond what is manually possible.

Predictive analytics

Predictive Analytics leverages machine learning to evaluate and learn through reasoning algorithms. Watson can read and understand a massive array of data, including scientific articles, patents, clinical trial data, electronic lab notes, toxicology reports and other proprietary data. Watson’s cognitive capabilities can eliminate bias and detect orthogonal connections and patterns that researchers may not necessarily see to generate novel hypotheses to predict potential relationships for further evaluation.

Dynamic visualization

Dynamic visualizations surface interactive relationships that may be buried in millions of pages of content, giving researchers the ability to:

  • See hidden connections
  • Identify entities with common properties of interest
  • Interact with visualizations by adding and layering different entities
  • Explore relationships on various levels and views
  • Drill down to supporting evidence

IBM Watson Health and Barrow:
Focused research, faster progress in the fight against ALS

In collaboration with the Barrow Neurological Institute, Dr. Robert Bowser and his team of researchers used Watson for Drug Discovery to help identify new targets for ALS research.

Reach out today to find out how Watson for Drug Discovery may help accelerate your scientific breakthroughs.

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