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As we embrace the use of generative AI in the Data-Driven Life Sciences (DDLS) course, it is crucial to emphasize the importance of using AI tools responsibly. While AI, particularly large language models (LLMs) like ChatGPT, can significantly enhance learning and research, we must remain vigilant about the potential pitfalls associated with their use.

We are thrilled to announce that this year’s Data-Driven Life Sciences (DDLS) course has seen an overwhelming response, with over 90 participants signing up for at least one module. In Module 1, we introduced the foundational concepts of data-driven life sciences, covering topics such as the data scale in life sciences, AI’s role in data processing, the data cycle, FAIR data principles, and the exciting realm of generative AI.

As the start of our course is quickly approaching, we want to ensure that you are well-prepared. To help you get a head start, we’ve prepared some useful ChatGPT prompts designed to assist you in learning basic Python operations.

We are thrilled to announce the start of the new Data-Driven Life Sciences course for 2024, designed to explore the intersection of data science, artificial intelligence, and life sciences to drive innovation and discovery.

Hello everyone, It was great to connect with many of you during today’s computer lab session. I’ve had the opportunity to review the chat logs you submitted for Assignment 1. I’m thrilled to see that you’re actively using ChatGPT to assist with your coursework.

Summary of Today’s Lecture Hello everyone, It was great to meet those of you who joined today’s lecture. For those who missed it, we dove into the paradigm shift in data-driven life sciences.

We are thrilled to announce the start of a new PhD course at KTH: “Data-Driven Life Sciences”. The course kicks off next week on August 28th and promises an enriching journey into data-driven approaches in life sciences, designed for both Master’s and PhD-level students.