Aedi Group

 

 

 

 

 

Harvest™

By integrating existing knowledge and data from past research to “seed” the system, new knowledge can be created providing competitive advantage and rapidly increasing the rate of new therapies and drug discovery. It makes it possible to manage this complex and interrelated data and learn from the knowledge obtained.

Traditionally, with lots of rules, software systems fail due to the complexity of managing rules.  Harvest™ uses a patent pending algorithm that is able to overcome this barrier, and enables your scientists to establish and modify the rules to enabling rapid simulation and new knowledge acquisition.

Harvest™ has a combination of characteristics that give it a distinct advantage over competitors and other similar solutions:

  1. The use of English-like rules.
  2. Flexibility of the user to implement a broad range of domains.
  3. The ability to process and prioritize large sets of rules in real-time.
  4. A “white box” solution that is easy to manage, evaluate, and improve.

Specific features include:

  1. Run prediction scenarios: Harvest™ enables scientists to quickly run multiple “What if…” scenarios. Because knowledge is stored as rules and not just data, the prediction scenarios can be far more intricate than typical solutions.
  2. Reusability: Knowledge can be stored for future use in template form. This enables scientists to develop building blocks that can be reused in future prediction scenarios.
  3. Easy to Interpret Results: Graphically display pathway/gene interactions and obtain real-time information from the public data stores.
  4. Leverage established knowledge and data: Harvest™ has interfaces developed to most of the major public data stores such as KEGG and BioGRID, and can be customized to access other data stores. As such, knowledge that is currently available can be leveraged, and does not have to be re-entered into the system.
  5. Knowledge definition: Life is governed by sets of rules. In Harvest™, knowledge is stored in the form of rules, allowing for a more accurate depiction of the real world. Knowledge can also be weighted, so that truly important rules can be given priority over rules that may be less pertinent.
  6. Flexible Use: Harvest™ can be used for both “single gene-to-gene” and “multiple genes/proteins” reasoning.

Click here to view screen shots of Harvest™