medical imaging

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The next healthcare revolution will have AI at its center

The global pandemic has heightened our understanding and sense of importance of our own health and the fragility of healthcare systems around the world. We’ve all come to realize how archaic many of our health processes are, and that, if we really want to, we can move at lightning speed. This is already leading to a massive acceleration in both the investment and application of artificial intelligence in the health and medical ecosystems.

Modern medicine in the 20th century benefited from unprec­edented scientific breakthroughs, resulting in improvements in every as­pect of healthcare. As a result, human life expectancy increased from 31 years in 1900 to 72 years in 2017. Today, I believe we are on the cusp of another healthcare revolution — one driven by artificial intelligence (AI). Advances in AI will usher in the era of modern medicine in truth.

Over the coming decades, we can expect medical diagnosis to evolve from an AI tool that provides analysis of options to an AI assistant that recommends treatments.

Digitization enables powerful AI

The healthcare sector is seeing massive digitization of everything from patient records and radiology data to wearable computing and multiomics. This will redefine healthcare as a data-driven industry, and when that happens, it will leverage the power of AI — its ability to continuously improve with more data.

When there is enough data, AI can do a much more accurate job of diagnosis and treatment than human doctors by absorbing and checking billions of cases and outcomes. AI can take into account everyone’s data to personalize treatment accordingly, or keep up with a massive number of new drugs, treatments and studies. Doing all of this well is beyond human capabilities.

AI-powered diagnosis

I anticipate diagnostic AI will surpass all but the best doctors in the next 20 years. Studies have shown that AI trained on sizable data can outperform physicians in several areas of medical diagnosis regarding brain tumors, eye disease, breast cancer, skin cancer and lung cancer. Further trials are needed, but as these technologies are deployed and more data is gathered, the AI stands to outclass doctors.

We will eventually see diagnostic AI for general practitioners, one disease at a time, to gradually cover all diagnoses. Over time, AI may become capable of acting as your general practitioner or family doctor.

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With $19M A round, Halo Dx combines data streams to better diagnose cancers, dementia and more

Healthcare is one of the most complex industries out there, creating frustration on the consumer side but also the opportunity for huge improvements from, in a way, rather simple methods. Halo Diagnostics (or Dx for short) has raised a $19 million Series A to improve diagnosis of several serious illnesses by crossing the streams from multiple tests and making the improved process easily available to providers. They’ve also taken the unusual step of taking out an eight-figure line of credit to buy outright the medical facilities they’ll need to do it.

As anyone who’s had to deal with major health concerns can attest, the care you get differs widely from one provider to another depending on many factors, not least of which are what your insurance covers and what methods are already in use by the provider.

For men going in to get a prostate cancer screening, for instance, the common bloodwork and rectal exam haven’t changed in years, and really aren’t that great at predicting problems, leading to uncertainty and unnecessary procedures like biopsies.

Of course, if you’re lucky, your provider might offer multiparametric MRIs, which are much better at finding problems — and if you combine that MRI with a urine test that checks for genetic markers, the detection accuracy rises to practically foolproof levels.

But these tests are more expensive, take special facilities and personnel and may otherwise not fit into the provider’s existing infrastructure. Halo aims to provide that infrastructure by revamping the medical data stream to allow for this kind of multi-factor diagnosis.

“Basically doctors and imaging centers aren’t offering latest level of care. If you’re lucky you might get it, but in community medicine you’re not going to,” said Brian Axe, co-founder and chief product officer at Halo Dx. “As perverse as it sounds, what the healthcare industry needs to adopt the latest medical advancements is better financial alignment in addition to better outcomes. The challenge is the integrated diagnostic solution — how do you get these orders, go to market and talk with primary care providers?”

An added obstacle is that multi-modal testing isn’t really the kind of thing medical imaging or testing providers just decide to get into. An imaging center isn’t going to hear that a urine test improves reliability and think “well let’s buy the building next door and start doing that too!” It’s costly and complex to build out testing facilities, and getting the expertise to run them and combine the results is another hurdle.

So Halo Dx is parachuting in with tens of millions of dollars and purchasing the imaging and testing centers themselves (four so far), taking over their operations and combining them with other tests.

Assuming that much liability as a young company may seem like folly, but it helps that these imaging centers are strong businesses already — not derelict, half-paid-off MRI machines being operated at a loss.

“The imaging orders are coming in already; the centers are profitable. They’re coming on board because they see how technology is coming to disrupt them, and they want to help drive the change,” said Axe.

Prostate and breast cancers are the first target, but more and better data produce similarly improved diagnosis and treatment planning for more conditions, potentially (these are still being proven out), like Multiple Sclerosis, Parkinson’s and other neurodegenerative diseases.

With one company running multiple intake, imaging and testing facilities and integrating the results, it’s much more likely that providers will sign up. And Halo Dx is trying to bring some of the enterprise-grade software expertise to bear on the historically neglected field of medical data storage and communication.

Axe deferred to the company’s chief medical officer, Dr. John Feller, on the perils of that aspect of the field.

“Dr Feller describes this so well: ‘I have this state of the art MRI machine that can see inside your body, but because of the fragmented solutions that are out there, from intake to the storage centers, I feel like I’m living with pre-dot-com era tech and it’s crippling,’ ” Axe recalled. “If you want to look at records or recommend additional tests, software vendors don’t talk to each other or integrate. You have three providers that need to talk to each other and there’s a dozen systems between them.”

Axe compared the company’s approach here to One Medical’s — increasing efficiency and using that to make the relationship with the consumer lighter and easier, leading to more interactions.

In some ways it seems like a risky move, taking on nearly a hundred million in obligations and jumping into a hugely complex and highly regulated space. But the team is accomplished, the backers are notable, the potential for growth is there, and the success of the likes of One Medical have likely emboldened all involved.

Zola Global Investors led the round, and a who’s-who in medical and tech participated: Anne Wojcicki, Fred Moll, Stephen Pomeranz, Bob Reed, Robert Ciardi, Jim Pallotta and, believe it or not, Ronnie Lott of 49ers fame.

These and others involved make for a strong statement of confidence in both the model and the specific approach Halo Dx is taking to expanding and advancing care. Here’s hoping, however, that you won’t have to make use of their services.

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Medivis has launched its augmented reality platform for surgical planning

After two years of development, Medivis, a New York-based company developing augmented reality data integration and visualization tools for surgeons, is bringing its first product to market.

The company was founded by Osamah Choudhry and Christopher Morley who met as senior residents at NYU Medical Center.

Initially a side-project, the two residents roped in some engineers to help develop their first prototypes and after a stint in NYU’s Summer Launchpad program the two decided to launch the company.

Now, with $2.3 million in financing led by Initialized Capital and partnerships with Dell and Microsoft to supply hardware, the company is launching its first product, called SurgicalAR.

In fact, it was the launch of the HoloLens that really gave Medivis its boost, according to Morley. That technology pointed a way toward what Morley said was one of the dreams for technology in the medical industry.

“The Holy Grail is to be able to holographically render a patient,” he said.

For now, Medivis is able to access patient data and represent it visually in a three-dimensional model for doctors to refer to as they plan surgeries. That model is mapped back to the patient to give surgeons a plan for how best to approach an operation.

“The interface between medical imaging and surgical utility from it is really where we see a lot of innovation being possible,” says Morley.

So far, Medivis has worked with the University of Pennsylvania and New York University to bring their prototypes into a surgical setting.

The company is integrating some machine learning capabilities to be able to identify the most relevant information from patients’ medical records and diagnostics as they begin to plan the surgical process.

“What we’ve been working on over this time is developing this really disruptive 3D pipeline,” says Morley. “What we have seen is that there is a distinct lack of 3D pipelines to allow people to directly interface… very quickly try to automate the entire rendering process.”

For now, Medivis is selling a touchscreen monitor, display and a headset. The device plugs into a hospital network and extracts medical imaging to display from their servers in about 30 seconds, according to Choudhry.

“That’s where we see this immediately being useful in that pre-surgical planning stage,” Choudhry says. “The use in surgical planning and being able to extend this through surgical navigation… Streamline the process that requires a large amount of pieces and components and setups so you only need an AR headset to localize pathology and make decisions off of that.”

Already the company has performed 15 surgeries in consultation with the company’s technology.

“When we first met Osamah and Chris, we immediately understood the magnitude of the problem they were out to solve. Medical imaging as it relates to surgical procedures has largely been neglected, leaving patients open to all sorts of complications and general safety issues,” said Eric Woersching, general partner, Initialized Capital, in a statement. “We took one look at the Medivis platform and knew they were poised to transform the operating room. Not only was their hands-free approach to visualization meeting a real need for greater surgical accuracy, but the team has the passion and expertise in the medical field to bring it all to fruition. We couldn’t be more thrilled to welcome Medivis to the Initialized family.”

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Storage provider Cloudian raises $94M

Cloudian, a company that specializes in helping businesses store petabytes of data, today announced that it has raised a $94 million Series E funding round. Investors in this round, which is one of the largest we have seen for a storage vendor, include Digital Alpha, Fidelity Eight Roads, Goldman Sachs, INCJ, JPIC (Japan Post Investment Corporation), NTT DOCOMO Ventures and WS Investments. This round includes a $25 million investment from Digital Alpha, which was first announced earlier this year.

With this, the seven-year-old company has now raised a total of $174 million.

As the company told me, it now has about 160 employees and 240 enterprise customers. Cloudian has found its sweet spot in managing the large video archives of entertainment companies, but its customers also include healthcare companies, automobile manufacturers and Formula One teams.

What’s important to stress here is that Cloudian’s focus is on on-premise storage, not cloud storage, though it does offer support for multi-cloud data management, as well. “Data tends to be most effectively used close to where it is created and close to where it’s being used,” Cloudian VP of worldwide sales Jon Ash told me. “That’s because of latency, because of network traffic. You can almost always get better performance, better control over your data if it is being stored close to where it’s being used.” He also noted that it’s often costly and complex to move that data elsewhere, especially when you’re talking about the large amounts of information that Cloudian’s customers need to manage.

Unsurprisingly, companies that have this much data now want to use it for machine learning, too, so Cloudian is starting to get into this space, as well. As Cloudian CEO and co-founder Michael Tso also told me, companies are now aware that the data they pull in, whether from IoT sensors, cameras or medical imaging devices, will only become more valuable over time as they try to train their models. If they decide to throw the data away, they run the risk of having nothing with which to train their models.

Cloudian plans to use the new funding to expand its global sales and marketing efforts and increase its engineering team. “We have to invest in engineering and our core technology, as well,” Tso noted. “We have to innovate in new areas like AI.”

As Ash also stressed, Cloudian’s business is really data management — not just storage. “Data is coming from everywhere and it’s going everywhere,” he said. “The old-school storage platforms that were siloed just don’t work anywhere.”

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