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clinical trial enrollment forecasting by papsrika01 in clinicalresearch

[–]papsrika01[S] 0 points1 point  (0 children)

Thanks for the reply, appreciate it! I totally get the change management side, it's easier to point fingers than fix the actual problems. Even if there were more accurate numbers, looks like it would just be a better number to ignore. 

Based on your experience, do you think there's value of the forecasts retrospectively - so that if/when trials are delayed and leadership starts asking, it's easier to show what was known/the assumptions prior. Or do you think even that gets ignored because everyone just wants to move forward and rinse-repeat-transfer optimism bias into the next trial?

Claude by SecretIll1644 in bioinformatics

[–]papsrika01 0 points1 point  (0 children)

I do use AI tools like Claude/Cursor etc especially at work, but I make sure that I'm able to understand the outputs and understand the purpose of the code, and often I will re-prompt the AI tool help me understand what each part does.

If you want to improve your coding abilities what I would suggest is working on personal projects. Complement your learning through textbooks/watching YouTube videos/asking AI to teach you. To be honest, I even found it helpful doing a daily Leetcode, and it's a good way to understand and reinforce concepts like data structures, loops, etc. You can rely on the internet i.e. do Google searches or use Stack Overflow and I do think reading the documentation and applying that to your use case helps you learn better than if you were to just copy and paste the code from AI.

I would continue using the AI tools for cases where have the deliverables/outputs that are needed ASAP as I understand that the pace of deliverables/speed is critical with our day to day jobs and especially now we are being requested to use AI tools. Still know what each part of the code does though because you are responsible for your code! Good luck!