Queen Mary Biomedical Engineering

Queen Mary Biomedical Engineering Welcome, This is the Biomedical Engineering page.

The Biomedical Engineering Society was created to organise events and socials to help students learn and develop a love for Biomedical Engineering.

🔔Hey everyone you can now buy your 2020/2021 annual membership to the Biomedical Engineering Society! Head over to the S...
31/08/2020

🔔Hey everyone you can now buy your 2020/2021 annual membership to the Biomedical Engineering Society! Head over to the Student Union website now to buy your membership

30/08/2020

Welcome Everyone to the Queen Mary University of London Biomedical Engineering Society 2020!
🔬We are excited to bring a host of events, resources and opportunities so follow the page for regular updates on our activities!
🔬Everyone interested in Biomedical Engineering is welcome!

Another amazing new piece of research showing the capabilities of Data Science and AI. Using convolutional neural networ...
06/08/2020

Another amazing new piece of research showing the capabilities of Data Science and AI. Using convolutional neural network (CNN) trained on dermoscopic images, this research and model has done an amazing trial in bettering efficiently of differentiating different skin lesions, aiding dermatologists and other specialists.



Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking.

Take a look at the amazing research done by scientists in Wuhan, China. They used state of the art data science to build...
06/08/2020

Take a look at the amazing research done by scientists in Wuhan, China. They used state of the art data science to build a neural network (CNN) model to detect COVID - 19 using X-Ray scans to assist radiologists in validating their initial screening.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187882/

The code available at:
https://github.com/muhammedtalo/COVID-19

The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. ...

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