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Athelas (YC S16) is hiring fullstack engineers to help change health care
Healthcare is the number one cause of individual bankruptcy in America - join us and start working on solutions.Athelas ( https://athelas.com), is a fast-growing Series A stage biotech startup based in Mountain View, CA. We're backed by Sequoia Capital, YCombinator, NVIDIA, and other top investors in the Silicon Valley. Our core product was cleared by the FDA in 2018.Our team is looking for a...
Athelas (YC S16) is hiring software engineers
Athelas (www.athelas.com) is a fast-growing biotech company based in Mountain View, CA.We're looking to bring on sharp full-stack developers to work on patient-facing software.Come work on healthcare technology that's changing thousands of patient lives already.Message tanay [at] athelas.com
Athelas is hiring Project managers, Full-stack engineers, and QA Engineers
Athelas (https://athelas.com) is a fast-growing biotech company based in Mountain View, CA. In the two last month, purchase volume has nearly 5x'd, and we are hiring across the board for sharp project managers, full-stack engineers and mechanical engineers. Please send emails/resumes to tanay [at] athelas.comAthelas is backed by Sequoia Capital, YCombinator, early Googlers, and NVIDIA.
Athelas is hiring project managers, SWEs, and MechE's
Athelas (https://athelas.com) is a fast-growing biotech company based in Mountain View, CA. In the two last month, purchase volume has nearly 5x'd, and we are hiring across the board for sharp project managers, full-stack engineers and mechanical engineers.Please send emails/resumes to tanay [at] athelas.comAthelas is backed by Sequoia Capital, YCombinator, early Googlers, and NVIDIA.
Athelas (YC S16) Is Hiring a Mech/Materials engineer with biochemical background
Athelas (https://athelas.com) is a fast-growing biotech company based in Mountain View, CA. We are looking for an engineer with a background in mechanical engineering and/or materials science.Work with microfluidics, chemistry, coating technologies, and biotech products is a bonus!Please send resumes to founders [at] athelas.com
Hiring Mechanical/Materials engineer with biochemical background
Athelas (https://athelas.com) is a fast-growing biotech company leveraging computer vision and microfluidics to radically improve patient monitoring. Our investors include Sequoia Capital, NVIDIA, and Stanford University.The team is looking for a smart generalist with background in mechanical engineering, materials science and/or a biochemical background. Having a combination of these three...
Chinese scientist claims first gene-edited babies
Athelas (YC S16) Is Hiring an Office Manager
Athelas ( https://athelas.com ) is a fast-growing biotech company based in Mountain View, CA. We are looking for a hardworking and detail-oriented individual to take over all office management and team assistance activities.Message founders[at]athelas.com with a resume to apply!
Athelas (YC S16) hiring software engineers to make blood testing more affordable
Athelas(www.athelas.com) uses Convolutional Neural Networks and microfluidic technology to make blood testing radically more accessible. We use an imaging based modality to obtain results faster, cheaper, and at the same accuracy as the existing state of the art.We're looking for a software engineer to support work across our ML stack, API stack, Device stack, and frontend.You'll get to be one...
Athelas is hiring Embedded/EE/Firmware engineers
Background: https://athelas.comemail: tanay[at]getathelas.comWe're looking for people with background in EE (pcb design, testing), along with a strong firmware/embedded level software background.Send us your projects and background!
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @09:01PM (#15121418)
One thing that I'd point out is that this comes entirely from the press rather than the startup - we see ourselves in a totally different sub-industry from Theranos (Athelas is a single type of blood test, at-home device, specifically for oncology patients, and a totally different technology). Really the only common word is "blood", but unfortunately I think that often gets drowned out in the media
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @05:15PM (#15120136)
The $20/mo is for the device and the test strips per month, as such the device is rented. Each subscription comes with 10 test strips a month usable between different users!
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @05:13PM (#15120120)
CTCs are a very early application in our tech and one that we're excited to continue working on. We have some strong sample share relationships with Stanford and sensitivity/stage/specificity testing is in its early stages right now. Will publish on the data page when more information
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @05:12PM (#15120112)
We're working under the 510k Class 1 and Class 2 framework
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @05:10PM (#15120107)
Thank you!
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @05:10PM (#15120102)
Great questions
-The first line of defense against interstitial fluid is wiping away the first drop (commonly used protocol in most drop test). The inevitable remaining interstitial fluid chunk is then classified out by our image processing models, which have been trained to recognize differences in images based on debris/cell concentration.
-We currently report the WBC, WBC Differential, Platelets, and RBC indices. The flags we're missing are secondary RBC metrics like MCH and RDW estimates but we have plans to roll these out soon as well.
-Yes, we've run both bench and clinical testing on patients with north of 100k white blood cells - the image processing can segment out cell chunks in these crowded samples better than traditional flow cytometry. Not in the currently published studies, but some good data coming out about this soon.
-We've run basic initial tests on platelet clumping (artificially induced in certain diluted samples), and present in clinical samples. Since our model looks at the boundaries of these platelet cells, we have a lot less trouble with this than flow cytometry/beckman and even human pathologists. Still, we're working to find more samples with clumping to define the limits of detection on this front.
-We've done interference studies with Hemolysis, EDTA, not with lipemia and icetrus. These are on our list of clinical samples to source as well.
-We've begun working with some of these EMR providers, the good thing is many of them have sandboxes to get setup in relatively quickly. The larger ones do have long, long-term engagement timelines.
-We work with dozens of pathologists to help review results, train the system further, and in general go over good morphology practice. Has definitely been a core part of our strategy.
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @12:53PM (#15118060)
agreed! checkout our data (including 3rd party run studies): https://athelas.com/publications.
we also ran a live demo with sarah from TC here: https://techcrunch.com/2017/08/28/athelas-launches-its-amazo...
Re:Stanford Dropout Says Blood Startup Won't Be Another Theranos
on Monday August 28, 2017 @12:18PM (#15117684)
one of the founders (Tanay) here - happy to answer any questions. we also put out a new trove of data here: https://athelas.com/publications
End-To-End Learning of Semantic Grasping
Re:SpaceX successfully launches and recovers second Falcon 9 in 48 hours
on Monday June 26, 2017 @01:27AM (#14634309)
Does anyone know why a side-view of the actual touchdown (like they usually release after) hasn't been posted by SpaceX yet?
Athelas (YC S16) Is Looking for React Native Hackers
Athelas (http://athelas.com) uses deep learning to rapidly diagnose blood samples.Our technology has been clinically validated, helped diagnose a case of Leukemia (previously unknown), and already deployed at clinics and homes.We're looking to hire React Native developers to focus on our mobile experience.Send an email to tanay[at]getathelas.com with background, previous projects, and/or resume.
Athelas is hiring ML engineers
http://athelas.comCome join a team applying powerful Deep Learning/Computer Vision technology to health care.We're backed by some of the top VCs in the valley, and growing device deployments quick.Shoot projects/resume to: founders[at]getathelas.com
Athelas is hiring ML engineers
http://athelas.comWe're building a smart, low-cost, and de-centralized diagnostic fleet using computer vision and deep learning.Shoot us a message with some projects/a resume here: founders [at] getathelas.com
Athelas is looking for iOS/Android hackers in the bay area
http://athelas.comShoot us a message at founders[at]getathelas.com
Athelas (YC S16) Hiring iOS and Android Hackers
http://athelas.comShoot us a message at founders[at]getathelas.com
Athelas (YC S16) hiring hardware engineers and clinical researchers
http://athelas.comWe're making rapid, portable blood diagnostics a reality. Come join our team: founders[at]getathelas.com
Tutorial: Deep Learning for Blood Cell Morphology
Re:Baidu Deep Voice Explained: Part 1 – the Inference Pipeline
on Wednesday March 08, 2017 @05:02AM (#13819211)
Dhruv's planning on putting out a series of posts, where he'll probably be including the model training/set up components! Look out for the next bits this coming week.