Seven From Seven: Diverse healthcare illustrations and language classes for refugees

6th May 2022

Each week, we scour the worlds of innovation, tech for good and social impact to bring you seven of our top stories…

  1. Babbel, the online learning platform, is offering free English, German, and Polish language classes to Ukrainian refugees.
  2. Peanut, a women-focused social network, and HerMD, a collection of centers that provide women with comprehensive healthcare, have joined forces to create accurate and diverse illustrations of the female body to address the gap in representation in women’s healthcare. The illustrations showcase scars, stretch marks, and a variety of body shapes and tones. Illustrations are available on a digital gallery and are free to everyone to be used for reference by media and the medical community
  3. A £5 million virtual reality centre – the Centre for Creative and Immersive XR – has launched in Portsmouth. The centre will allow businesses and creators from across the country to give presentations, create new material using motion capture, and interact with the digital world in a high-quality location.
  4. Scientists at Cambridge University have designed a culinary robot that is able to distinguish different tastes and check the balance of flavours. The robot chef replicates the human tasting process without relying on saliva and digestive enzymes.
  5. Scientists have used machine learning to discover a new way to speed up the process of breaking down plastic. The Chad Enzyme allows the broken-down molecules to be reconstituted into virgin plastic – the polymer in its true form without any processing.
  6. Business Green reports that construction will begin later this year on the UK’s largest vertical farm – a farming technique where food is produced on a vertical surface. The farm will initiate the first phase in creating sustainable and localised food chains across the UK.
  7. Researchers have proposed a new study to use satellite imaging to target and assist impoverished areas around the world. The imaging focuses on the difference between lighter and darker areas at night time – with unlit areas suggesting a lack of access to reliable and affordable electricity, therefore indicating higher levels of poverty.

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