Milky Florent, Ph.D

Milky Florent, Ph.D

New York, New York, United States
3K followers 500+ connections

About

Creating scalable frameworks is vital in regulatory affairs to maximize biopharmaceutical…

Experience

  • Jazz Pharmaceuticals Graphic

    Jazz Pharmaceuticals

    New York, United States

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    New York, United States

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    Greater New York City Area

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    New York, New York

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    New York, New York, United States

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    Collegeville, Pennsylvania, United States

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    Caracas, Federal District, Venezuela

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    Caracas, Federal District, Venezuela

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    Caracas, Federal District, Venezuela

Education

Licenses & Certifications

Publications

  • Meta-analysis to identify and evaluate factors associated with regulatory approval of Orphan Drugs to develop and standardize an algorithm for predicting regulatory success and improve portfolio decision making

    Background and Purpose of the Study: Developed an algorithm (AODI) for predicting probability of regulatory success (PRS) for new orphan drugs after phase II testing has been conductedwith the objective of providing a tool to improve drug portfolio decision-making.Methods: Examined 132 studies from recent publications (2005 onwards). Data on safety, efficacy, operational, market, and company characteristics were obtained from public sources. Meta-analysis and meta-regressions were used to…

    Background and Purpose of the Study: Developed an algorithm (AODI) for predicting probability of regulatory success (PRS) for new orphan drugs after phase II testing has been conductedwith the objective of providing a tool to improve drug portfolio decision-making.Methods: Examined 132 studies from recent publications (2005 onwards). Data on safety, efficacy, operational, market, and company characteristics were obtained from public sources. Meta-analysis and meta-regressions were used to provide an unbiased approach to assess overall predictability and to identify the most important individual predictors.Results: Found that a simple three-factor model (disease prevalence, clinical trial duration and clinical trial participation) had high specificity for predicting regulatory approval (success).Conclusion:smaller clinical trial participation, shorter clinical trials duration and lower rare disease prevalence were found to be highly associated with the Probability of Regulatory Success (PRS) of orphan drugs.

    See publication

Languages

  • Spanish

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

  • French

    Native or bilingual proficiency

Organizations

  • Regulatory Affairs Certification Program (RAPS),

    Member

    - Present

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