Clinical Research Organization - Genpro Research - PowerPoint PPT Presentation

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Clinical Research Organization - Genpro Research

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Genpro is Clinical Research Organization which brings together an experienced team of statisticians, Statistical programmers and Clinical Data Scientists.Our team of experts drives innovation and foresight to deliver simple solutions to your most complex problems. – PowerPoint PPT presentation

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Title: Clinical Research Organization - Genpro Research


1
Clinical Research Organization
  • Genpro is Clinical Research Organization which
    brings together an experienced team of
    statisticians, Statistical programmers and
    Clinical Data Scientists.Our team of experts
    drives innovation and foresight to deliver simple
    solutions to your most complex problems. We drive
    time to market with cutting-edge software and
    data management solutions. We work with you as a
    strategic partner.Our team includes some of the
    most experienced and innovative professionals in
    the clinical research segment. We are excited to
    tell you about the value that we have
    collectively created. We are even more excited to
    drive success for you.

2
Our Products
  • VOODY - Automating Medical Scientific
    Literature Search, Review Authoring
  • Voody is a semi-automated platform that enables
    the researchers to search, filter, author,
    review, and publish scientific and medical
    documents. Voodys machine-assisted document
    processing and information extraction combined
    with seamless integration of PubMed reduce
    cognitive overload for researchers up to 70.
  • Voodys automated information source citing and
    linking to the context document eases the review
    process for researchers. Integrated QC module in
    VOODY provides fast and easy validation of the
    document before publishing. Voody also provides a
    single searchable repository of all the documents
    that are produced through this process.

3
  • Our Products
  • 2. MOSS-NLP Based Clinical Data Visualization
  • MOSS is a clinical data analysis and
    visualisation tool which makes use of Natural
    Language Processing and Deep Learning algorithms
    to automatically translate a natural language
    (English) question from a clinician to a
    structured database query. MOSS will then render
    the output in an aesthetically appealing form
    (charts, graphs, tables, tokens) and will also
    allow drill down analysis on these reports. MOSS
    allows clinicians and trial monitors to reduce
    their dependence on the data team to do ad-hoc
    visualisations and analysis of key risk
    indicators. MOSS will also provide statistical
    analysis plugins in future releases so that the
    clinicians will be able to perform basic data
    analysis.

4
  • Our Products
  • 3. SUBX - Data Submission Simplified
  • SUBX is an intelligent submission tool developed
    by Genpro that help sponsors to better prepare
    for their NDA/PMDA submissions. As Sponsor is
    preparing for their NDA submission, it is
    critical for them to verify the content and
    validity of the dataset folder per the FDA
    submission requirements. Datasets must meet the
    technical specifications per the Study Data TCG
    and eCTD validation criteria. Our submission
    validation framework will check whether the
    datasets that are provided for regulatory
    publishing is compliant to the FDA/EMEA guidance.

5
Our Mission
  • Our mission is to support our clients in
    achieving their goals by providing knowledge
    driven innovative solutions with highest quality
    products and services.
  • WHO WE ARE
  • Genpro Research is a next-generation services and
    technology partner for the pharmaceutical,
    biotechnology, and medical devices industry. Our
    tools use Artificial Intelligence, Machine
    Learning, and Natural Language Processing
    algorithms to enable automation of several
    processes in a drug development pipeline.. We
    provide advanced solutions in Biostatistics
    Programming, Medical Writing, and Regulatory
    Submissions.

6
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