Now AI or Artificial Intelligence can diagnose Glaucoma progression to blindness

How Artificial Intelligence help diagnose Glaucoma progression to blindness?
Technology today has undoubtedly reached at a level beyond imagination. Ever wondered that you can spot the early signs of progression of blindness 18 months earlier? Well, with the use Artificial Intelligence, researchers have devised a quick test that identifies which people with glaucoma are at risk for upcoming progression to blindness.
AI, artificial intelligence, ai detects glaucoma, glaucoma, glaucoma detection, AI advancements, tec
Artificial Intelligence (AI) is omnipresent in everyday life. Also known as machine intelligence, pertain the capacity of a machine to imitate human intelligence. AI today helps in assisting the early diagnosis of glaucoma making sure the patient can be treated earlier before losing the sight.
Glaucoma is the second most common cause of blindness spreading rapidly all over. The important thing is, it cannot be fixed or reversed, so identifying glaucoma as early as possible helps saving the sight of patient. Unfortunately, the problem is that glaucoma is tough to diagnose in the early stages.
AI in Healthcare
The rapid evolution of technologies marked their footprints in almost all the sectors. Healthcare sector is in forefront using the high-end technologies to treat & cure diseases. AI, Big data, block chain are all the ways of gathering, storing and analyzing information. If the information is used effectively, it has the potential to rapidly speed up the progress in healthcare sector. Many Ophthalmologists have witnessed the power of AI algorithms that they can provide objective metrics from simple photographs and OCT (Optical Coherence Tomography) as well as can recognize the amount of optic nerve damage in glaucoma.
How AI helps diagnosing glaucoma progression to blindness, check it here:
Glaucoma is the leading global cause of irreversible blindness which has affected over 60 Million people. Well, loss of sight in glaucoma is caused due to the death of cells present in the retina at the back of an eye. As per the sources, it is said that a new retina test can now detect glaucoma progression 18 months prior that the current standard method.
They say, “Being able to diagnose glaucoma at the very first stage, and predict its progression could certainly help people to maintain their sight and the treatment could be more successful if it is provided at an early stage of disease.”
The simple test called DARC (Detection of Apoptosing Retinal Cells) is conducted for the patient. It includes injection of a fluorescent dye into the bloodstream via the arms which gets attached to retinal cells, and illuminates those that are in the process of apoptosis.
FYI: ApoptosisA programmed cell death sequence that leads to elimination of cells without releasing any harmful substances into the surrounding area. Apoptosis plays a significant role in developing and maintaining the health of the body by eliminating old, unnecessary and unhealthy cells.
In the DARC test, the damaged cells appear bright white when viewed in eye examinations. Whereas, the more damage cells, the higher is the DARC count.
The interesting part is, the specialists often disagrees the sign of glaucoma while viewing the same scans. So the researchers have introduced an AI algorithm into their method. 
How the AI Algorithm works?
In the clinical trials of DARC, the AI was used to examine 60 case studies – 20 with Glaucoma patients and 40 with healthy participants.
Initially the AI was trained by analyzing the retinal scans of 40 healthy participants after injecting the dye.
Then the AI was tested on the glaucoma patients.
The patients were called for the follow-up after 18 months after the main trial period.
After 18 months, the researchers were able to predict progressive glaucomatous damage with complete accuracy as every patient with a DARC count over a certain limit was found to have a progressive glaucoma at the time of second follow-up.
“The results are promising as they show DARC can certainly be used as a biomarker when used in combination with AI-aided algorithm” said by the lead researcher from University College London (UCL) Institute of Ophthalmology.
So now, there is no need to worry about losing the sight as AI is ready to help diagnosing glaucoma progression to blindness at very early stage.
AI can spot glaucoma that can lead to blindness: Here's how

Codota: Coding Auto-Complete, AI code completion Technology

Everything you need to know about Codota – A Coders' AI/Machine learning, coding Auto-Complete Technology that helps boosting the productivity...

Get AI Code Completions for your IDE (integrated development enironment)
Codota is a tool that helps auto-completing developers code. It uses AI and machine learning under the hood, and it basically gives relevant suggestion at right time.
Codota: Coding, Auto-Complete AI Technology that helps boosting the productivity
Codota: Coding, Auto-Complete AI Technology that helps boosting the productivity
We are living in the era of fast development. Right from education to technologies, everything is working in a fast-pace which gets the job done little bit faster and easier. The disruptive technologies in the current scenario have their own speed of development& improvisation. 
The invention of smart mobile phones with curtailed keyboards, autocomplete has nearly become an omnipresent feature of how we write these days. To save our precious time of correcting and composing the sentences, our keyboards prompt us with few suggestion of what we are trying to write to get the job done easier and lot faster. 
A similar tool has been developed that applies the same auto-complete concept to the world of coding. Using this, the developers easily get suggestions of what he wants to code ahead. The startup, Codota has announced a round of funding to expand its business all over the world. 

What is Codota?

Codota is an Israeli startup, Technion, The Israel Institute of Technology that provides an AI tool to the developers and allows them to autocomplete the strings of code they are writing. The main aim is to speed up the developers work and make sure they use right syntax with correct spellings reducing the errors in entire code.

In the layman’s language- Codota is an artificial supporting programmer that learns from the existing code and gives you suggestions for next code to help you build software faster and smarter.
In a simpler way- Codota helps you while writing the new code predicting the code you might need next. It also helps developers in reading and reviewing the code by showing the code that implies in similar settings.
Codota runs alongside the IDE (Integrated Development Environment) and take help from the learned code models to suggest relevant code. These suggestions surely save a lot time of developers from searching references and also help preventing the future errors in the code.

Coding with Codota

At first coding with Codota seems easier, but ultimately, the quality of the suggestions really makes or breaks a product.
Codota uses the AI auto-complete technology which helps in boosting the productivity of code.

Now what the heck is this auto-complete and how it works?

Well, we always use this function while typing on our smartphones. While in coding, there are two types of auto-complete:
Automated boilerplate generator which gives an entire scaffold of classes, functions, methods and service providers.
Inline suggestion that goes with you while typing.

These types of suggestions make use of AI and if you use the tool for longer period of time, it starts seeing your patterns in your code and predicts what you are going to type next. The more you use a particular tool; it becomes user-friendly as it familiarizes itself with the libraries and frameworks the developer is using. In other way, the tool becomes a secondary brain that you can keep under control!

Whereas, not all auto-complete tool able to predict correct suggestions for coding. But those who are powered by deep and machine learning are much more automated in the way that suggests what is your aim and making it better as a predictive coding tool than just a regular autocomplete.

Codota has a power to adapt developer’s personal coding style, systematic thinking and ways of handling specific task as it is powered by deep and machine learning technology.

Codota’s Technology

Since its development, the company claims it has analyzed millions of code repositories to generate insights that enhance the developer productivity. Codota compares its technology to Gmail’s Smart Compose Feature.

The platform scripts the predictable codes in the coding development cycle including looking up for syntax, spell checks and suggesting the next possible code the developer may need.

Codota’s platform supports all major coding languages such as, Python, JavaScript, Java, C, and HTML. The platform successfully operates across popular IDE such as VCCode, Eclipse and IntelliJ.

To date, Codota has raised more than $16M in funding for it AI Software for developers. The funding will be used to flourish its reach beyond the existing range as well as to hike the customers reach. At present, the list of those that are using this impressive tool includes developers from gigantic companies like Google, Amazon, Netflix, Alibaba, Airbnb and Atlassian to name few. The company claims that their user base has increased more than 1000% in last year and over 1 Million developers are using it as monthly subscription.

Empowering Developers

alking about the fresh funding, Dror Weiss, CEO of Codota, said, “This is a fantastic milestone towards achieving our mission of empowering every single developer in the world with best AI tools, thereby expanding developer productivity and software quality. We are looking forward to join the best-dev-tools investors in the world and look forward to next big stage in our rapid growth.”

On the other hand, Tom Gieselmann, general partner at E.Ventures is all set to join the startup’s Board of Directors, says, “I am researching the developer tools market since 20 years and I truly believe Codota has the power to dominate the players in terms of productivity and creativity. The tool is excellent and we are proud to support the whole Codota team on their mission to transform software development and making coding easier, efficient and effective not only for individual developers but also the team within the enterprise.”


How to turn your Living room into a Virtual Zoo by using Google’s3D AR Animals

How to turn your Living room into a Virtual Zoo by using Google’s3D AR Animals? Try it yourself...

Using Google’s 3D AR animals, you can now place virtual animals in your real world. The Google’s AR functionality allows you to view life-size animals up-close. So, if you have an iOS device or any latest Android smartphone, here is how to check it out.

In the current scenario the Covid-19 has affected everyone’s life from adults to kids in some or any ways. The compulsory quarantine or isolation in the current pandemic scenario made our boredom levels to plunge at its peak. Well, nothing to worry when disruptive technologies are ahead of times and are in forefront to make everyone happier.

Google – where technology is created and evolves has come up with a very attractive feature called Google’s 3D AR animals where you can snap pictures and videos with different animals straight from your living room or Kitchen. All you need is a capable smartphone and you will be clicking pictures with Lions, Wolf, and Pandas etc. in no time. With this new feature, your kids will certainly enjoy clicking pictures with various possible snaps and setups.

Let’s check the real heck:
One of the most awesome things of these AR (Augmented Reality) animals is their size. They appear exactly as they would in real life in your space. You can shrink them, enlarge them, and make them appear large or small as per your picture needs. The special sound effects and animations bring these animals to life giving the sense that they truly exists in the room.
Well, to start with, make sure you have an eligible device (Android, iOS). We have tried it on iPhone 8 Plus, Redmi Note 8 Pro, OnePlus 7 and to our wonders it worked without any trouble. To check out the list of compatible devices, head over to Google Developer Site here :

Once you have confirmed your phones compatibility, go to Google Search app or chrome and look for an animal in the search box.

Tap on “View in 3D,” a 3D model will appear on your screen. You can rotate and get a 360-degree view of the animal appeared on your screen.

Under that you will see a small text box popping “View in your space”. Here the camera app will open, you just have to scan the environment to place the animal and Hurray!!! You will able to see the 3D animal in augmented reality just besides you as you wish.

At this point, you can move the animal by tapping on it and dragging around. You can drag the scale in and out to adjust the size of animal if it is overpowering the room.  Last but not the least; you can even click pictures with the animal in different postures and gestures. Isn’t this is a fun yet creative activity?

Give it a try, I am pretty sure you will enjoy being in the virtual zoo in your own house and clicking pictures with various animals be only the rosy side effects of the fun activity.

We welcome your comments... 

Would you install the contact tracking apps introduced by Apple and Google?

Apple and Google contact tracking API debuts

Apple and Google have served the developers' taste buds of their common programming interface for contact tracing applications.
Would you install the contact tracking apps/api introduced by Apple and Google?
Would you install the contact tracking apps/api introduced by Apple and Google? Image: Techcrunch
On the Apple side, the API called Exposure Notification has appeared in the latest beta of iOS 13.5 and Xcode (the manufacturer's development software). For Google, it is through beta of Google Play Services and Android Developer Studio that these tools are now available to developers. The final version is still expected in about two weeks.

However, only governments and health agencies will be able to use the API. If all developers can take a look at the API and start building contact tracking apps, only apps from governments and health authorities will be able to fully use it. Apple and Google do not intend to let anyone do anything with these tools, which in a way "liberate" Bluetooth.

Remember the principle: iOS and Android smartphones will be able to transmit Bluetooth signals in the background, saving the battery as much as possible. When a user has been in contact with a person contaminated with COVID-19, the application will notify him and suggest the sanitary measures to follow to break the chain of virus transmission.

Apple and Google have given a lot of thought to privacy. These signals, whose metadata are encrypted, incorporate random keys generated each day, which makes it impossible to associate a signal with a user. The API does not trace contacts beyond 30 minutes in order to avoid unwanted follow-ups. Health agencies will be able to determine the level of risk of transmission based on the distance between two users and the duration of contact.

Several countries should use this solution. However, most of the Government authorities seem set to develop such an application with their respective IT departments.

But are you ready to install such a contact tracking app?

Are smartphone users ready to install contact tracking apps to help stop the spread of Novel corona-virus (COVID-19), is the real question here.

The containment measures will gradually be lifted, but we will have to continue to respect the rules of social distancing and wear a mask on public transport (and if possible everywhere else).  Another element that will break the virus's chain of transmission is “contacttracing”applications. But are users really ready to install such apps on their smartphones?

Close results between Europe and the United States

In Europe as in the United States, public opinions are divided. Several surveys conducted by various organizations suggest that approximate 46% of people say they are ready to activate such an application on their smartphones during the development phase. But note, it is not a majority, even if we approach it. The problem is vagueness that always surrounds this kind of tracing applications.

In the United States, an equivalent survey gives an almost similar result, this time with 50% of smartphone users saying that they will use a contact tracking app “probably ". Difficult under these conditions to predict how many people will end up installing and activating such an application.

The situation is even more complicated in the United States, where states, and even big cities, are responsible for their health policy. Under these conditions, it is quite possible that we see a myriad of applications appear which could even be incompatible with each other.

It also remains to find a solution for those who do not have smartphones. In Europe, connected bracelet projects are under consideration. But they will have to be produced and distributed, if possible at affordable prices. Many difficulties and obstacles, beyond technical and ethical problems are lies beneath the surface of data and personal privacy.

Don’t miss to share your opinion on this matter in the comment section below


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