In a new study published in the journal Nature Medicine, scientists at the NYU School of Medicine trained a Google deep learning algorithm called Inception v3 to distinguish between two of the most common types of lung cancers, adenocarcinoma and squamous cell carcinoma, with 97% accuracy.
Additionally, the study’s AI analyzed images to determine whether abnormal versions of six genes linked to lung cancer – including EGFR, KRAS and TP53 – were present in cells, with an accuracy that ranged from 73 to 86 percent depending on the gene.
According to researchers, in targeted therapies that work only against cancer cells with specific mutations, it is crucial to determine which genes are changed in each tumor. For example, about 20% of patients with adenocarcinoma are known to have mutations in the gene epidermal growth factor receptor or EGFR, which can be treated with drugs currently available.
However, it may take weeks for the currently used genetic tests to confirm the presence of mutations.
Senior study author Aristotelis Tsirigos, PhD, associate professor in the Department of Pathology at NYU School of Medicine and NYU Langone Health’s Perlmutter Cancer Center said that delaying the start of cancer treatment is always bad. “Our study provides strong evidence that an AI approach will be able to instantly determine cancer subtype and mutational profile to get patients started on targeted therapies sooner, he said.
Adafruit has had paid day off for voting for our team for years, if you need help getting that going for your organization, let us know – we can share how and why we did this as well as the good results. Here are some resources for voting by mail, voting in person, and some NY resources for our NY based teams as well. If there are additional resources to add, please let us know – adafruit.com/vote
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 — To make it through a tough business cycle, layoffs should be a last resort
Wearables — Rub’n’buff
Electronics — Multimeter Bandwidth – AC Signal
Python for Microcontrollers — Python on Microcontrollers Newsletter: CircuitPython 6 Release Candidate, new hardware & more! #Python #Adafruit #CircuitPython #ElectronicHalloween @micropython @ThePSF
Adafruit IoT Monthly — Matrix Portal, Solar Lawn Sprinkler and more!
Microsoft MakeCode — micro:bit version 2 Announced!
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 10/21/2020 Featuring #Adafruit Voice Bonnet for Raspberry Pi – Two Speakers + Two Mics! @adafruit #newproducts
No comments yet.
Sorry, the comment form is closed at this time.