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By analyzing large datasets from various sources, such as clinical trials, genetic data, and EHRs, big data analytics can help identify new potential drug candidates, accelerate the drug discovery process, and lead to the development of more effective and targeted medicines.
In fact, it has been observed that around 40% of the pharmaceutical drugs approved by regulatory organizations exhibit poor bioavailability / solubility. Further, every year, poor bioavailability is one of the main causes of drug failure in obtaining approval authorization.
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