No-Code and AI: A Match Made in Tech Heaven?

Hey there!

I have to admit, this newsletter is a doozy.?

In fact, it might just be the looongest one I've ever written! But can you blame me…??

There's just so much happening in the world of AI that I can't help but share it all with you. So, what can you expect in this edition? Well.?

I've got some juicy summaries and predictions about healthcare; I even throw in a couple of potential breakthroughs (fingers crossed!). And I also introduce you to a super cool no-code tool, showing you how combining it with AI could really shake up the world of app development.

I hope you enjoy reading it all as much as I enjoyed writing it!

Let’s go.

Revolutionizing Healthcare: The Most Remarkable AI Apps of 2022

At DLabs.AI, we recently published our annual AI trends report .?

It reveals a lot of data-driven insights, as well as sharing thoughts from thought leaders at the likes of Facebook, SentiOne, and SoundHound (to name a few).?

I don't think there's any doubt we've seen a breakthrough in terms of AI development and, above all, an increased awareness of how AI can shape our future: that’s why this report is an invaluable guide to an inexorably changing reality for us all; not just business owners.?

But back to the main point. If you remember last year’s report (which you can still download here ), we identified 'MORE AI DEPLOYMENT IN HEALTHTECH' as a trend.?

Here’s what I had to say on the topic:

“In 365 days, our health can change dramatically, even developing cancer overnight. More and more data and more devices allow us to monitor our health daily. I hope that AI in the health industry will move forward and 2022 will bring us much needed new developments in this area.”

Today, I’ll summarize some of the most interesting developments in AI in healthcare from the past year (which I also covered in my newsletters).

I hope you’ll agree, they are truly remarkable:

• A deep-learning algorithm can optimize doses of propofol to maintain unconsciousness during general anesthesia (read more )
• AI can predict the likelihood of post-treatment tumor regrowth in cancer patients (read more )
• AI can now detect signs of breast cancer (read more )
• A brain implant can help patients with ALS do everyday tasks like sending a WhatsApp or buying something online (read more )
• An at-home test can detect oral cancer with 90% accuracy (read more )
• An AI algorithm can help cure epilepsy by detecting brain abnormalities (read more )
• Self-supervised AI is detecting disease via X-ray (read more )

Still, all that is just a drop in the ocean of what happened last yet. Just think what we’ll see over the next twelve months.

The Revolution Continues: ChatGPT and Beyond

Imagine a world where healthcare is accessible to everyone, with affordable personalized care delivered in the comfort of your home.

Thanks to AI, this isn’t just a dream. The reality is moving closer by the day. In truth, I firmly believe AI will revolutionize healthcare in ways we could only imagine just a few years ago, and the data tends to suggest the same:

• AI in healthcare could reach a value of USD $272.91 billion by 2030 .?
• This growth is fueled by the increasing use of AI-based solutions in the medical sector.
• As many as 98% of healthcare leaders say their organizations either have (or are planning to) implement AI .

There are no surprises here, as the potential benefits of using AI in healthcare are immense.?

According to Microsoft research , AI can improve healthcare outcomes (particularly for patients), with 55% of healthcare executives agreeing. Moreover, 46% of medical professionals predict that AI will decrease the per capita cost of care, with 44% believing AI can also improve the provider experience.?

Another interesting trend (mentioned in this year's report) is the increased use of AI in medical imaging , a technique that helps detect disease using X-rays, CT scans, and MRI — while a second trend is care personalization, powered by AI-enabled virtual assistants, chatbots, and remote care.?

These technologies are how patients can get better at-home care, improving engagement with providers. They will make healthcare more accessible and convenient, ultimately ensuring patients receive the care they need when needed — with AI analyzing patient data and helping medics deliver more personalized treatment decisions.

While last but not least: healthcare data analytics could hit a global market value of $78 billion by 2027 (it already accounts for 30% of big data by volume), with companies developing healthcare apps using new technologies like ChatGPT, ensuring patients get the best possible care.

In short, AI can transform healthcare. And by embracing it (and its many applications), we can improve patient outcomes, reduce the cost of care, and make healthcare more accessible to everyone.?

The future looks bright, and I can't wait to see what developments will come next.

Spotify founder aims to revolutionize healthcare with full-body scanning

Let’s move from summaries, statistics, and predictions to real-world examples. Spotify founder and CEO Daniel Ek is taking on a new challenge with his latest startup, Neko Health.?

Neko Health has been in the works for the past four years and hopes to revolutionize Europe's healthcare systems with a full-body scanning service that will help doctors find and prevent diseases, ultimately leading to more proactive healthcare.

For €150, patients undergo a non-invasive 15-minute scan that collects over 50 million data points about their skin, heart, vessels, respiration, inflammation, and more. The scanning technology uses AI, which is why the company expects its diagnostic ability to improve over time.?

With over €30m invested (mainly by Ek and his moonshot investment company Prima Materia), Neko Health is already attracting attention in Stockholm. The company has opened a new health clinic in the city center, and after launching to the public, the clinic is almost fully booked.?

By prioritizing early detection and preventive care, Neko Health hopes to provide a whole new era of healthcare. My first thoughts are that it is exciting indeed. However, it raises some questions, and I’m just hoping this isn’t another Theranos.?

On that note: if you haven't seen "The Dropout" or "The Inventor: Out for Blood in Silicon Valley," they’re more than worth the watch.

Source: Sifted

From Idea to App in Minutes: Using AI and No-Code to Build Powerful Solutions

Low-code and no-code were highlighted in both last year's and this year's report — and it's no surprise, just look at the numbers:

• The global no-code market reached $2.5 billion in 2021 (and it's expected to hit $38 billion by 2032, a CAGR of 28%)?
• Low-code application platforms (LCAPs) are expected to form a significant part of the market, accounting for nearly $10 billion in sales in 2023 (a 25% uplift)

Today, I’d like to focus on a tool that Filip, Head of AI at DLabs.AI, recently tested (and now highly recommends).

I don't know about you, but for us, writing backends and frontends to create a quick clickable demo is a bit of a waste of time. That’s why Filip had been experimenting with no and low-code solutions, starting with bubble.io before landing on retool.com .?

He’s now built five demo apps using the platform, and he says it’s his preferred tool for the following reasons:

• It has a relatively extensive drag-and-drop interface
• It allows you to connect to databases, S3, and other services
• It integrates with any API
• It allows you to run custom JS
• It supports your own React components (yes, you read that right!)

Filip recently coded a simple prototype to query tabular data using natural language, testing the capabilities of GPT-3 in the process.?

Users can ask questions in English, GPT-3 converts the text to SQL, SQL is sent to Postgres, and results are shown in a table (if this sounds interesting, we highly encourage you to use Retool to create an app, preferably in combo with GPT-3!).

I really think these tools will shake up app development. Just check out Omega Studio: a startup that uses no-code tools (where possible) to minimize development costs.?Read this article for all the details.

Can Apple Revolutionize Diabetes Care with New Glucose Monitoring App?

I wanted to end there, but as someone with diabetes (who’s also building AI solutions for people with diabetes), I just had to share a recent discovery.

I've heard for years that Apple was working on tech that allows non-invasive blood glucose monitoring via smartwatches, potentially freeing people with diabetes from painful needle pricks and helping those with prediabetes avoid developing the disease.

While there have been promising developments in continuous non-invasive blood glucose monitoring, no one has yet managed to bring a genuinely non-invasive, continuous monitor to market. Yet Bloomberg recently cited inside sources who claim Apple is making real progress.?

The insiders revealed that the system operates on a combination of two technologies — silicon photonics and optical absorption spectroscopy — measuring blood glucose levels by detecting the reflection of laser light sent into a specific area beneath the skin.

Although Apple has not yet officially confirmed this information, hundreds of engineers are reportedly working on it at Apple's Exploratory Design Group.

If successful, integrating glucose monitoring into smartwatches could help people at risk of type 2 diabetes avoid developing the disease in the first place.

I hope Apple will confirm this soon, so we can start using the solution!

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That is certainly my longest Bits and Bytes to date; I only hope I didn't bore you.

If not (and you haven't already done so), I highly recommend you download the TOP 10 AI TRENDS TO WATCH IN 2023 (even if to read at a later date).?

There are plenty of invaluable insights in there, too.

Until next time ??