In today’s competitive and highly regulated drug discovery industry, operational efficiency and compliancy are crucial to business success. This is especially true for the in vivo research phases where operational costs are high and security, compliance and safety can become significant concerns when data is poorly managed.
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Animal research is important for drug development as it focuses on understanding the biology and genetics of living organisms. In biomedical studies, this type of analysis aims to understand disease etiology and progression. It is used to identify potential biochemical pathways that might serve as targets for drugs to cure or mitigate diseases. Without animal research, our medical science progress would not be nearly as advanced as it is today.
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The development of new medications is a very delicate and time-consuming process. It’s essential for drug researchers to carefully examine all potential aspects and effects a drug might have before moving it to market. This is to reduce the risk of adverse side effects negatively impacting buyers. Continue reading “In Vivo vs. In Vitro Testing – What’s the Difference?”
Data should be treated as a first class asset. In fact, for the most part, data are the only output of our work. Data costs enormous amounts of time and money to generate and analyze, and the never go bad. Continue reading “Making Data Fly In-formation”
What is the difference between digitized and digitalized? Why should you consider implementing a digital transformation?
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