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  <created-at type="datetime">2009-02-19T19:43:08-05:00</created-at>
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  <title>FDA Application Approvals 2000-2008</title>
  <updated-at type="datetime">2010-01-25T14:56:34-05:00</updated-at>
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    <comment>
      <content>raw FDA data with only sponsor applicant (company name) cleaned.</content>
      <created-at type="datetime">2009-02-19T19:43:08-05:00</created-at>
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      <updated-at type="datetime">2009-02-19T19:43:08-05:00</updated-at>
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    <comment>
      <content>FJKFKAKL:Fj</content>
      <created-at type="datetime">2009-02-23T18:27:02-05:00</created-at>
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      <updated-at type="datetime">2009-02-23T18:27:02-05:00</updated-at>
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    <comment>
      <content>sustainability</content>
      <created-at type="datetime">2009-03-01T11:35:13-05:00</created-at>
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      <updated-at type="datetime">2009-03-01T11:35:13-05:00</updated-at>
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    <comment>
      <content></content>
      <created-at type="datetime">2009-03-10T11:57:35-04:00</created-at>
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      <updated-at type="datetime">2009-03-10T11:57:35-04:00</updated-at>
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    <comment>
      <content>Graph is nice, but numbers are not that usefull because column used represent all applications made, i.e. multiple requests for each drug and each formulation!
Starting with same data, people usually plot number of drugs approved like here: www dot nature.com/nrd/journal/v7/n2/images/nrd2514-f1.jpg</content>
      <created-at type="datetime">2010-01-22T10:56:24-05:00</created-at>
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    <comment>
      <content>Yes this data includes multiple requests for each drug.  By tweaking the formulation the drug can apply to more treatments.  By changing the delivery method (i.e. injection vs gel cap) the drug can appeal to a greater number of people. What a great way to keep the profits flowing!</content>
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      <updated-at type="datetime">2010-01-25T14:56:33-05:00</updated-at>
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