clinical trials

China Reshaping the Clinical Trial Pipeline

2018-10-11T02:00:15+00:00

Finally, the data is in here at OZMOSI, and we can start tracking and reporting on the clinical development expected to come out of China.  Gone are the days of developing drugs only in the US and then watching them slowly make their way to the rest of the world. China’s current trial pipeline below illustrates a disease area focus that is on par with what we see and expect from the US, EU, and Japan.   And that’s only the beginning.  China is now taking a very active role in developing novel therapies directly, and not just for their own [...]

China Reshaping the Clinical Trial Pipeline2018-10-11T02:00:15+00:00

The Clinical Trial Powershift

2018-10-05T13:47:50+00:00

Pharmaceutical companies are being pushed aside when it comes to who is driving clinical outcomes. Despite the growing number of industry trials year over year, the pharmaceutical industry is taking a back seat to the even faster growing hospital groups and universities in the same space.  Looking back to the year 2000, 8 out of the top 10 clinical trial sponsors were large pharmaceutical companies.  Historically, over the same time period, pharma companies accounted for more than 30% of all clinical trials. Today, not a single pharmaceutical company rises to the level of top 10 clinical trial sponsors, and they account [...]

The Clinical Trial Powershift2018-10-05T13:47:50+00:00

USING NLP TECHNIQUES TO CLASSIFY PATIENT SEGMENTS IN CLINICAL TRIAL DATA

2017-08-02T19:24:26+00:00

One of the most common and powerful approaches in NLP provides the content experts an opportunity to label each data segment for a portion of the dataset and then analyze these labels to apply to the rest of the dataset. Some key questions need to be answered when applying this approach in different environments.   For example, how many “expert” labels do we need to create before the classification works effectively?  How can we evaluate this in advance?  Are we limiting ourselves to only extracting from the data what we already believe to be true?  We will discuss that last one in [...]

USING NLP TECHNIQUES TO CLASSIFY PATIENT SEGMENTS IN CLINICAL TRIAL DATA2017-08-02T19:24:26+00:00