ksolanki
"So, for the millions of Americans who take vitamin D supplements and the labs that do more than 10 million vitamin D tests each year, an editorial published along with the paper has some advice: Stop.
“Providers should stop screening for 25-hydroxyvitamin D levels or recommending vitamin D supplements and people should stop taking vitamin D supplements in order to prevent major diseases or extend life,” wrote Dr. Steven R. Cummings, a research scientist at the California Pacific Medical Center Research Institute, and Dr. Clifford Rosen, a senior scientist at the Maine Medical Research Institute. Dr. Rosen is an editor at The New England Journal of Medicine."
That should work to each party’s satisfaction.
I am sure people have thought about this.
All the Government needs to do is to enforce compliance to such standards.
In any case, over the years I have become very comfortable using mouse with left hand as a right hander.
Every family will have a drone “pet” with sole purpose if delivering Amazon stuff, in this case literally.
Google or not, what can help me discover the right recipe, the right content, the right answer to my coding error?
Search algorithms that keep “mutating” even randomly? Ranking system? What?
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is global medical technology company that has developed a powerful retinal image analysis AI eye screening platform for detection of diseases. Eyenuk is on a mission to screen every eye in the world to detect and monitor life- and vision-threatening diseases including diabetic retinopathy, macular degeneration, glaucoma, cardiovascular and stroke risk, and Alziemer's disease.
Eyenuk's first product, EyeArt, is a fully autonomous (no doctor oversight needed) AI eye screening system for detection of diabetic retinopathy. Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and has completed prospective clinical trials for an FDA clearance. The results are exceptional: https://finance.yahoo.com/news/eyenuk-ai-eye-screening-syste....
You will join a passionate team at Eyenuk comprised of software and machine learning experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (machine learning, computer vision, deep learning)
jobs at eyenuk.com
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is global medical technology company that has developed a powerful retinal image analysis AI eye screening platform for detection of diseases. Eyenuk is on a mission to screen every eye in the world to detect and monitor life- and vision-threatening diseases including diabetic retinopathy, macular degeneration, glaucoma, cardiovascular and stroke risk, and Alziemer's disease.
Eyenuk's first product, EyeArt, is for fully autonomous AI eye screening system for detection of diabetic retinopathy. Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and has completed prospective clinical trials for an FDA clearance. The results are exceptional: https://finance.yahoo.com/news/eyenuk-ai-eye-screening-syste....
You will join a passionate team at Eyenuk comprised of software and machine learning experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (machine learning, computer vision, deep learning)
jobs at eyenuk.com
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is global medical technology company that has developed a powerful retinal image analysis AI eye screening platform for detection of diseases. Eyenuk is on a mission to screen every eye in the world to detect and monitor life- and vision-threatening diseases including diabetic retinopathy, macular degeneration, glaucoma, cardiovascular and stroke risk, and Alziemer's disease.
Eyenuk's first product, EyeArt, is for fully autonomous AI eye screening for detection of diabetic retinopathy. Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and has completed prospective clinical trials for an FDA clearance. The results are exceptional: https://finance.yahoo.com/news/eyenuk-ai-eye-screening-syste....
You will join a passionate team at Eyenuk comprised of software and machine learning experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (machine learning, computer vision, deep learning)
jobs at eyenuk.com
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is global medical technology company that has developed a powerful retinal image analysis AI eye screening platform for detection of diseases. Eyenuk is on a mission to screen every eye in the world to detect and monitor life- and vision-threatening diseases including diabetic retinopathy, macular degeneration, glaucoma, cardiovascular and stroke risk, and Alziemer's disease.
Eyenuk's first product, EyeArt, is for fully autonomous AI eye screening for detection of diabetic retinopathy. Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and has completed prospective clinical trials for an FDA clearance. The results are exceptional: https://finance.yahoo.com/news/eyenuk-ai-eye-screening-syste...
You will join a passionate team at Eyenuk comprised of software and machine learning experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (machine learning, computer vision, deep learning)
Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.
jobs at eyenuk.com
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is global medical technology startup company that has developed a powerful retinal image analysis AI eye screening platform for detection of diseases. Eyenuk is on a mission to screen every eye in the world to detect and monitor life- and vision-threatening diseases including diabetic retinopathy, macular degeneration, glaucoma, cardiovascular and stroke risk, and Alziemer's disease.
Eyenuk's first product, EyeArt, is for fully autonomous AI eye screening for detection of diabetic retinopathy. Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and has completed prospective clinical trials for an FDA clearance.
You will join a passionate team at Eyenuk comprised of software and machine learning experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (machine learning, computer vision, deep learning)
Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.
jobs at eyenuk.com
This will encourage market for devices that can utilize the lower spot prices dynamically and keep the things more efficient overall (in steady state).
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and age-related macular degeneration.
Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.
You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (image processing, computer vision, deep learning)
Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.
jobs at eyenuk.com
The technology is there but there would be more work needed for a self-service kiosk to be FDA approved. Another thing that is not clear is whether it is commercially a good idea at this time, given that only a single disease (diabetic retinopathy) is approved. I can see a future where one can use such kiosks to look for multiple conditions and assess risks for various diseases including cardio-vascular disease, neurodegenerative diseases, stroke, and hypertension.
Sensitivity generally gives an indication of safety of a medical device, and specificity gives a general indication of effectiveness.
There are some misconceptions on the thread, so let me help clear them up. A screening test is indicated on an annual basis for anyone with diabetes who does NOT have visual symptoms. Diabetic retinopathy (DR) progresses without any symptoms and is preventable if detected early, but despite its preventable nature, DR is the leading cause of blindness in working-age adults even in the developed world.
The test is for screening rather than providing a full diagnosis and is not intended to replace a dilated ophthalmologist examination. You don't need a specialist to screen, but you need a specialist to diagnose and treat. Sensitivity implies the percentage of times the test is able to correctly identify the presence of more than mild diabetic retinopathy (in this case, 87.4 percent of the time) and specificity is the percentage of times the test was able to correctly identify those patients who did not have more than mild diabetic retinopathy (in this case, 89.5 percent of the time). Note that neither sensitivity nor specificity implies accuracy. The sensitivity and specificity generally compare well to that achieved by humans.
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.
Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.
You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (image processing, computer vision, deep learning)
Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.
jobs at eyenuk.com
Join us in building software platform to apply deep learning and robotics to help prevent blindness across the world. Eyenuk is an exciting medical software startup that has developed a powerful retinal image analysis AI platform for screening of diseases such as diabetic retinopathy and agre-related macular degeneration.
Anyone with diabetes is vulnerable to blindness that progresses without any pain or discomfort. Despite it's preventable nature, the condition, called diabetic retinopathy, is the leading cause of blindness in working age adults. Eyenuk has developed EyeArt, a SaaS offering, that automates the retinal disease screening process via automated analysis of retinal images and providing a screening referral outcome. EyeArt is a clinically validated on over 100,000 patients providing sensitivity that exceeds that of expert human graders. EyeArt has CE Marking (regulatory approval in Europe) and is under prospective clinical trials for an FDA approval.
You will join a passionate team at Eyenuk comprised of software and image analysis experts. We are hiring for multiple positions in the following two broad categories.
* Full-stack software engineers (Python, Frontend, UI)
* Algorithms engineer (image processing, computer vision, deep learning)
Would welcome anyone who wants to join our hands: have a young family? Great! Need a visa? We'll do everything legally possible to get you one.
jobs at eyenuk.com