You are here: resourcesSeriesPharmaceutical InformaticsAbout

See also

No results found.

Category

Series

Published on

Abstract

Pharmaceutical products manufacturing is an important growth area for the US economy. Continued progress in biotechnology and genetic engineering coupled with an aging population will create both new mega-opportunities as well as pose new major challenges in this area, where the products are mostly manufactured using batch process technologies. In this sector, the process of successfully bringing a product discovery to the marketplace - usually in the form of a new molecule or formulation - is a complex, expensive, time consuming, as well as information, knowledge, and computation intensive challenge.

The current industrial practice towards this challenge is sub-optimal and is readily admitted to be such by industrial practitioners. People try to make do with limited computer-based assistance to acquire, manage, and interpret complex product and processing information with enormous amounts of human intervention. This naturally leads to huge inefficiencies, uncertainties, and product quality concerns all along the product pipeline. Hence, the really compelling drivers for the development process are speed to market and getting it right the first time.

image

In the Laboratory for Intelligent Processing Systems (LIPS), research is focused on the development of an integrated, intelligent, information modeling framework for automating and optimizing the pharma products pipeline. One of the important bottlenecks is the time and effort spent on synthesizing operating procedures. Synthesis of operating procedures involves the systematic generation of step by step instructions which an operator can implement to manage a batch plant safely and optimally. This is a labor- and knowledge-intensive task that often takes weeks of effort by experts to prepare a clear and error-free set of instructions. LIPS has developed an intelligent systems framework in which operating procedures are developed from information about the plant setup, process chemistry and recipe, and product properties and requirements.

The key issues for solving the automation problem are knowledge representation and planning. The knowledge representation strategy handles both the process specific and process general knowledge in a flexible manner that can facilitate easy modification, and also address the discrete event character of batch processes.

Cite this work

Researchers should cite this work as follows:

  • Venkat Venkatasubramanian; Rex Reklaitis; Leaelaf Hailemariam; Shuo-Huan Hsu; Pradeep Suresh (2007), "Pharmaceutical Informatics," http://pharmahub.org/resources/30.

    BibTex | EndNote

Tags

In This Series

  1. Guidelines Viewer

    05 Mar 2009 | Tools

    View Guidelines in Ontology Browser

  2. SWOOP

    16 Jan 2008 | Tools | Contributor(s): dsk  , Leaelaf Hailemariam, Shuo-Huan Hsu, Pradeep Suresh

    OWL Ontology Editor

  3. Product Formulation

    23 Jan 2008 | Online Presentations | Contributor(s): Venkat Venkatasubramanian, Leaelaf Hailemariam, Pradeep Suresh

    Pharmaceutical product development involves drug discovery,development of the drug substance (for improved processibility and absorption), anddevelopment of the drug product (identity and amount of excipients, choice of manufacturing platform or process).Product development requires access to...

  4. Purdue Ontology for Pharmaceutical Engineering

    21 Jan 2008 | Series | Contributor(s): Leaelaf Hailemariam, Venkat Venkatasubramanian, Shuo-Huan Hsu, Pradeep Suresh

    Web Ontology Language (OWL), recommended by and based from Resource Description Framework (W3C), is used to define ontologies. OWL uses XML syntax to express semantics. OWL can formalize a domain by defining classes, properties of these classes, and relations between them. OWL can also define...

  5. Ontological informatics infrastructure for pharmaceutical product development

    17 Jan 2008 | Publications | Contributor(s): Venkat Venkatasubramanian, Rex Reklaitis, Leaelaf Hailemariam, Pradeep Suresh

    Informatics infrastructure plays a crucial role in supporting different decision making activities related to pharmaceutical product development, pilot plant and commercial scale manufacturing by streamlining information gathering, data integration, model development and managing all these for...

  6. Towards intelligent decision support for pharmaceutical product development

    17 Jan 2008 | Publications | Contributor(s): Venkat Venkatasubramanian, Rex Reklaitis, Leaelaf Hailemariam, Pradeep Suresh

    Developing pharmaceutical product formulation in a timely manner and ensuring quality is a complex process that requires a systematic, science-based approach. Information from various categories, including properties of the drug substance and excipients, interactions between materials, unit...