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Celebrating Black History: Course Now Available

STEM for Kids

cAndy: A For Agriculture: Explore the wonderful world of agriculture with STEM Icon George Carver, the peanut man, who innovated agriculture. With STEM Icons Mary Daly & Alexa Canady, get a heart-pumping look into the field of biomedical engineering. Electricity Please!: Pumping The Heart!:

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STEM Calendar for the Month of May for Educators Everywhere

STEM for Kids

This calendar is designed to celebrate specific holidays for STEM enthusiasts and commemorate historic events that have shaped the course of scientific discovery and innovation. Astronaut Day: Astronaut Day celebrates the bravery and achievements of those who venture beyond Earth’s atmosphere to explore the cosmos.

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Celebrating Black History: Inspiring Diversity In STEM

STEM for Kids

Various strategies include: Providing Exposure and Representation – By showcasing diverse STEM role models, celebrating their scientific achievements, and integrating diverse perspectives into lesson plans. At STEM For Kids, we have been paving the way for engaging diverse students since 2011.

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Celebrating Black History: Course Now Available

STEM for Kids

cAndy: A For Agriculture: Explore the wonderful world of agriculture with STEM Icon George Carver, the peanut man, who innovated agriculture. With STEM Icons Mary Daly & Alexa Canady, get a heart-pumping look into the field of biomedical engineering. Electricity Please!: Pumping The Heart!:

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Inspirational women in STEM

Futurum

The research she conducted during her PhD in molecular and cell biology formed the basis of LambdaVision’s work, and she is now developing artificial retinas in microgravity on the International Space Station, for which she won a Women in Aerospace outstanding achievement award. Professor Joanna Collingwood is a biomedical engineer.

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Can artificial intelligence detect hidden heart attacks?

Futurum

Can artificial intelligence detect hidden heart attacks? Published: Analysing medical data to detect health problems can be incredibly difficult, but advances in artificial intelligence (AI) mean it is now possible for computers to spot subtle patterns in complex patient data. This is why we are turning to AI.