Drug Innovation Management.

Hippocrates platform facilitates early drug discovery extending from basic research to drug invention and commercialization saving significant time and money.

Overview

Hippocrates platform facilitates early drug discovery extending from basic research to drug invention and commercialization saving significant time and money. The AI/ML predictive engine of Hippocrates harnesses high-throughput screening data, enabling the discovery of ideal drug candidates across any indication with high speed and accuracy.

Industry:  Healthcare

Services: Innovation Management, Health Services

hippocrates
Hippocrates - Drug Innovation Management

Challenge

  • Medical innovation calls for new models for collaborations that facilitate government, academia and industry
  • In the increasingly protracted, expensive and data-driven reality of drug discovery, Artificial Intelligence (AI) is redefining drug design
  • Hippocrates platform facilitates early drug discovery extending from basic research to drug invention and commercialization saving significant time and money
  • The AI/ML predictive engine of Hippocrates harnesses high-throughput screening data, enabling the discovery of ideal drug candidates across any indication with high speed and accuracy
  • The platform is designed in such a way to facilitate collaboration amongst stakeholders taking advantage of the vast resources currently available on the web to generate and aggregate content based on the needs of the end-user
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Pre-Discovery Phase.
The Need…
  • A clear understanding of the disease on a molecular level
  • Access to studies showing associations between biological mutations and disease states
  • A good understanding of the underlying causes and pathways of a disease may lead to a biological target for a potential new medicine
Hippocrates platform…
  • Provides users with access to the latest open access medical and market information
  • The content provided is appropriately annotated with semantically driven mechanisms so as to provide users with maximum associations as well as rich metadata
  • The competency matching features of the platform combined with the collaborative services allow scientists from both industry and academia to collaborate in a secure environment
Drug-Discovery Phase.
The Need…
  • Find promising leads for a drug candidate
  • Search for a lead compound (organic or other drug molecule)
  • Mechanisms and methods to allow researchers to test hundreds of thousands of compounds against the target to identify those that might have good potential
Hippocrates platform…
  • Provides users with access to the latest open access medical and market information
  • Correlates current research with past/recorded data using the crawlers and annotation mechanisms of the platform
  • The content provided is appropriately annotated with semantically driven mechanisms so as to provide users with maximum associations ​as well as rich metadata
  • The modular architecture of the platform allows for maximum integration to the systems used by the researchers
Pre-clinical Testing.
The Need…
  • Minimal access to historical data on general health and/or disease pathology
  • Too resource intensive and too expensive business models
  • Animal testing in the research-based pharmaceutical industry has been reduced in recent years both for ethical and cost reasons
Hippocrates platform…

…integrates to the existing pre-clinical infrastructure of the end-user acting complementary, significantly enhancing the research infrastructure providing: 

  • Access to historical data and on-going research through the Hip-aggregator
  • Targeted resource management through the competency matching service
  • Access to Patenting services through APIs that connect to EPO and USPTO
  • Recording and history mechanisms connected to the lessons learned database and the Hip-Base

Features

Access more than 500 Medical DBs
  • Centralised access to more than 500 Open Access Medical DBs
  • Semantically driven infrastructure for system evolution and interoperability
  • Automatic data curation, provenance and evolution services
  • Semi-automatic annotation Mechanisms
  • Appropriate mapping services to connect existing content with the content mined from Hippocrates
Competency Matching
  • Help your R&D team choose the right people for the task at hand
  • Identify appropriate internal resources as the project progresses
Monitoring Mechanisms
  • Synchronous and Asynchronous collaborative services to enable distributed collaboration amongst research staff
  • Workflow services
  • Knowledge MGT services
  • QA and project MGT services
  • Contracting services using Blockchain technology
Drug innovation management

Benefits

Hippocrates integrates to your own R&D system. No licensing or training is required.

  • Hippocrates platform covers the entire spectrum of the lifecycle of drug discovery and pre-clinical testing
  • Relational database contains comprehensive results presenting data from different references in a single window
  • Analytics assist in target validation, off-target analysis, lead optimisation, scaffold hopping, etc.
  • State of the art intelligence with respect to compounds, targets, indications, markets, sponsors, collaborators, etc.
  • Modular architecture allows for maximum integration re-using and/or integrating where requested by the existing technologies that end-users are familiar with. This reduces both costs on licensing as well as training time

Industries

PHARMACEUTICAL

  • Drug Innovation MGT (R&D)
  • Market research - market access

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