About Clinion
Clinion is a life sciences technology company offering innovative software solutions in
the pharmaceutical industry since 2010. Our first product, also called Clinion, is an
integrated eClinical trial platform for small and medium CROs, academic research
organisations and pharmaceutical companies."
The Covid-19 pandemic has pushed the global clinical trial industry and regulators to rapidly adopt technology and accelerate clinical development. Along with other technologies, adoption of AI & ML has moved forward at a much more rapid pace than initially envisioned. Similar to remote technologies, AIML technologies have gone beyond user’s expectations and have quickly occupied a central position in an organisation’s plans for the future. Pfizer’s 45,000 subject Covid-19 vaccine study which was completed in record time with the help of AIML is a case in point.
Looking at the big jump in the number of sessions in SCDM 2021 compared to the sessions in 2020 gives us a very good idea about the central role being played by AIML in clinical trials of both today and tomorrow.
Data Managers across are rightly concerned about the role they have to play in this increasingly digital world where every new use case appears to threaten their jobs however much they are reassured that would not be the case.
As a clinical trial industry professional who designs software solutions for the industry, I decided to understand the buzz around AI and hopefully understand it well enough to incorporate it into our products and develop new products around it. I decided early on that the courses being offered online would not be adequate for a serious practitioner and for someone who wanted to design solutions.
I decided to do a certification in AIML from the International Institute of Information Technology, Hyderabad. The course is highly regarded and is very technical, covering the entire gamut of machine learning including developing various models, Natural Language Processing, MLP and Deep Learning. My learnings from the course and advice to Clinical Trial Data Managers who are deciding to learn AI & ML are as follows: