Detecting pancreatic disease using artificial intelligence and human ingenuity

Suitable for 14-19-year olds (secondary and high schools, and college), this article and accompanying activity sheet can be used in the classroom, STEM clubs and at home.

This resource links to KS4 and KS5/Grade 9-10 and Grade 11-12 Biology.

It can also be used as a careers resource and links to Gatsby Benchmarks (UK):
Gatsby Benchmark 2: Learning from career and labour market information
Gatsby Benchmark 4: Linking curriculum learning to careers

• This teaching resource explains the work of Dr Stephen Pandol from Cedars-Sinai Medical Center in Los Angeles, USA. He is using artificial intelligence to improve pancreatic cancer diagnoses and developing therapeutic treatments for pancreatic diseases.

• This resource also contains an interview with Stephen, and offers an insight into careers in pancreatology. If your students have questions for Stephen, they can send them through the Futurum Careers website.

• The activity sheet provides ‘talking points’ (based on Bloom’s Taxonomy) to prompt students to reflect on Stephens’s research and challenges them to improve their science communication skills by designing an educational poster.

This resource was first published by Futurum Careers, a free online resource and magazine aimed at encouraging 14-19-year-olds worldwide to pursue careers in science, tech, engineering, maths, medicine (STEM) and social sciences, humanities and the arts for people and the economy (SHAPE).

If you like these free resources, or have suggestions for improvements, please let us know and leave us some feedback. Thank you!