Dive deeper into the aspects covered in this lesson with these readings that expand on the topics discussed. Each reading includes reflective questions to help you focus on key learning points and strengthen your understanding.

Reading: Harnessing artificial intelligence to improve clinical trial design.
By Bin Zhang, Lu Zhang, Qiuying Chen, Zhe Jin, Shuyi Liu & Shuixing Zhang.

In clinical trials, finding the right patients, ensuring accurate data, and maintaining efficiency can be overwhelming. But what if AI could simplify these processes and lead to better, faster outcomes? This paper explores how artificial intelligence can transform clinical trial design by improving patient recruitment, enhancing participant retention, and reducing costs. As always, it also dives into the ethical challenges and considerations that come with AI integration in trials.

Reading time: ~40 min

   Download the reading

Reflective questions

  • How could AI change the way we select and recruit participants for clinical trials, and why might this lead to more accurate and diverse trial results?
  • What are some potential ethical dilemmas we might face when using AI in clinical trials, and how could we ensure the technology is used responsibly and fairly?
  • Imagine AI making clinical trials more cost-effective and efficient—what might this mean for the future of medical breakthroughs, and how could it change the way treatments are developed?

Source: Zhang, B., Zhang, L., Chen, Q. et al. Harnessing artificial intelligence to improve clinical trial design. Commun Med 3, 191 (2023).  Link