Subscribe
Sign in
Athelas Screen — $5/mo portable blood diagnostics
23
Replies
Kelly Kuhn-Wallace
❤️ from the immunodeficient crew! Don't stop. Build more. We need all of the things.
Share
Hi Product Hunt!
We're excited to share Athelas Screen with everyone. It uses the technology we've built for Athelas (http://athelas.com) to bring a low-cost and rapid White Blood Cell test to your home for only $5. White Blood Cell counts are really powerful immune markers - they go up during infections, down during certain diseases, and approach really high ranges right during the onset of Leukemia and a few other malignancies.
By taking a simple 2 minute test using our device every month, you can catch conditions earlier. Especially for at-risk populations (people with Down Syndrome, undergoing Chemotherapy, MDS, and other immunocompromising illnesses), this count can be life-saving. If you sign up and shoot me an email at tanay [at] getathelas.com , we'll make your first month's test free with no commitment for following months!
Looks cool! How much blood does it take? We may be able to help avoid a fingerstick!
As someone who 's worked in clinical medicine in the past, these guys are solving an incredibly huge pain point in high risk populations. This is one of the most talented teams I've met and I'm incredibly excited for what the future has in store for them. They are approaching the space with a level of transparency (https://athelas.com/manifesto/) that's a breath of fresh air for this industry.
I've already bought one of their devices, but I'll be buying screen for everyone in my family.
@nkbuduma Thanks Nikhil! looking forward to pairing up with Remedy and building that one killer experience. healthcare in 2017 will be interesting indeed.
Inspiring team, amazing product. Super proud of you guys @tanay_tandon @dpcbod excited to see this evolve!
Brilliant application of machine learning and computer vision to point-of-care diagnostics! Way to go @dpcbod & @tanay_tandon !
Powerful, scalable, and transformative! This device can have huge impact in preventative medicine.
This will help scores of immunodeficient individuals. I am extremely thrilled to see a product at the intersection of computer vision and healthcare. What is your accuracy?
@devaki_raj Thanks Devaki! in inter-rater testing with the gold standard beckman counter, we hit 100% clinical range accuracy. You can check out more of our data here: https://athelas.com/data/
Awesome product that's paving the way for innovative combinations between Software and Bio-Tech!
How is machine learning used in this when it can do an imaging-based approximate count of the individual WBCs in the bloodstream?
How far down can its resolution go down to? (can it have the resolution to even track individual proteins?)
@inquilinekea we can resolve particles down to a size of 5 microns with our imager. in order to classify out particulate matter, reticulocytes, and floating lymph (often appearing similar to WBCs) we trained a bunch of classifiers. Furthermore for 5-part differentials, the vision needs to distinguish between a bunch of nucleation patterns, a task requiring a well trained machine learning classifier.
@tanay_tandon Particulate matter?!? So... can this literally measure the increase of particulate matter in people following exposure to air pollution? [not to mention inflammation] There really needs to be a faster feedback loop between air-pollution exposure and "bad thing happening", and maybe this imaging device can finally provide it to nudge people towards avoiding air pollution (and preserving their brains) more?
http://www.sciencemag.org/news/2...
I'm also fascinated if this can provide the fast-feedback loops that can measure increases in inflammation that follow consumption of unhealthy food (e.g. high glycemic index food, or heavily fried foods).
@inquilinekea by particulate matter we mean any particle in the blood smear image that's not a viable cell (lysed cell, dust from the strip or finger, etc.) interesting Science Mag article! One of the potential applications could definitely be recording such particles (assuming our model is trained to identify) and counting in an appropriate sample. Will read more into