Drug development is a complex process that can take several years and requires significant investment. The good news it that there are so many clinical trials, that you can leverage the best market insights from patterns.
Here are three proven methods for doing so:
- Filter by industry and academia.
- Filter by phases.
- Filter by MeSH.
Filter by Industry
When searching for clinical trials data, filtering by industry and academia can help you understand which institution, company, or research group is focusing on which drug.
Successful industry work often leads to a drug getting to market, while academic work may lead to a publication on PubMed.
You can identify which institution (industrial or academical) is behind which drug, its success or failure and vice-versa.
Filter by Phases
Filtering by phase can help you keep track of the success of a trial and the factors contributing to it.
For example, if a drug shows promising results in phase II, it may be worth investing more resources into phase III trials.
Who is behind it? How much time did it take? Which ones are the contributing factors?
Filter by MeSH
When searching for clinical trials data, the usage of MeSH (Medical Subject Headings) terms to capture all relevant studies is a must.
Drug reactions and adverse effects may not be spelled out in the exact way you're searching. There are synonyms and related concepts to consider.
For example by looking at painkillers a related synonym is analgesic that might bring you more data to look upon.
By leveraging these three methods, you'll be able to:
- Understand which institution, company, and research group is focusing on which drug.
- Keep track of the success of the trial and the factors contributing to it.
- Go beyond syntax and include explainable semantic search.
Remember, the fight is against missing evidence.
Everything starts with search.
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