Artificial intelligence is a topic gaining traction across many industries, not least pharmaceutical development. The benefits are obvious: AI can process huge amounts of data, eliminate human error in repetitive tasks and apply checks and balances to systems where our human memory fails. But there are also risks associated with implementing AI studies that need to be explored by qualified pharmaceutical development professionals.
Among these risks is an inability for machine learning to evaluate. All results are the same to an AI system, and coding for relevance or importance simply cannot replicate the human capacity to judge test results. For this reason, many experts in the area recommend limiting AI to tasks that are repetitive, low-cost, and do not involve risk to human subjects.
At CfPIE, our goal is to prepare students not just for today’s workplace, but to stretch their thinking and prepare them for what is coming in pharmaceutical development. Our (PDCP) Pharmaceutical Development Certified Professional™ program covers a range of topics including good manufacturing practices and selecting appropriate CROs for your company’s outsourced research, but our instructors are also industry professionals who understand the challenges that the pharmaceutical development employee is facing today. For this reason, we encourage our students to bring questions to their instructors about the real-world problems they are facing, so everyone attending the course can benefit.
If you are a pharmaceutical professional who is working in development or hoping to become a development specialist, you can learn more about the course here, including in-depth descriptions of all 27 courses available in this specialization program.
Sources:
http://www.pharmexec.com/node/371503
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