Lung cancer kills 160,000 people in the U.S. every year and the global death toll from the disease is around 2 million. Lung cancer can be lurking in plain sight, only to be detected too late to be properly treated. Like all cancers, the best chance for a successful treatment of lung cancer depends on early detection by screening people at high risk for the disease, such as smokers. However, these screenings aren’t perfect, and the subtle difference between a harmful tumor (malignant) and a harmless tumor (benign) can be difficult to distinguish from a CT scan.
A collaboration between Google and medical partners including Northwestern University revealed a new AI-based tool that can create a better model of a patient’s lung from the CT scan images. This 3-D image helps AI to better predict malignancy of tumors by learning from previous scans. The system was able to confirm evidence of cancer more quickly and had fewer false positive and false negatives than its human counterparts.
“This area of research is incredibly important, as lung cancer has the highest rate of mortality among all cancers, and there are many challenges in the way of broad adoption of lung cancer screening,” Shravya Shetty, the technical lead at Google, said in a University release. “Our work examines ways AI can be used to improve the accuracy and optimize the screening process, in ways that could help with the implementation of screening programs.”
8-6-2021 (August 6, 2021) is the Snakiest day of the year and it’s also this year’s CircuitPython Day! The day highlights all things CircuitPython and Python on Hardware. See you there!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.
Join us every Wednesday night at 8pm ET for Ask an Engineer!
Maker Business — Over 500,000 manufacturing jobs are going unfilled
Wearables — Stop the sweat
Electronics — Hummm… 60Hz noise in your amplifier driving you nuts?
Python for Microcontrollers — Python on Microcontrollers Newsletter: EuroPython 2021, CircuitPython 7.0.0 alpha 5 and more! #Python #Adafruit #CircuitPython @micropython @ThePSF
Adafruit IoT Monthly — Smart Agriculture, an E-Ink Newspaper, and more!
Microsoft MakeCode — MakeCode for the micro:bit - 2021 Release!
EYE on NPI — Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
New Products – Adafruit Industries – Makers, hackers, artists, designers and engineers! — NEW PRODUCTS – Silicone Keycap Molds – MX Compatible Switches
No comments yet.
Sorry, the comment form is closed at this time.