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February 24, 2019
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Healthcare

Bill Gates-backed Vicarious Surgical adds a virtual reality twist to robots in the operating room

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In an operating room in rural Idaho, doctors prep a patient for surgery. They make a tiny, thumb-sized incision into the patient and insert a small robot while across the country a surgeon puts on a virtual reality headset, grabs their controllers and prepares to operate.

While this scene may seem like science fiction now, a Charlestown, Mass.-based startup called Vicarious Surgical is developing the technology to make that vision a reality.

The company’s co-founders, Adam Sachs and Sammy Khalifa, have been developing and refining the technology almost since they met at the Massachusetts Institute of Technology as undergraduates.

The 27-year-old Sachs said that he and Khalifa formally launched the company roughly five years ago when they graduated from MIT, and have been working on it ever since.

“We’ve been working on ways to miniaturize robotics and put all of the motion of surgery into the abdominal cavity,” says Sachs. “If you put all of the motion inside the abdominal cavity you are not confined to motion around the incision sites.”

What really set the founders’ brains buzzing was the potential for combining their miniature robots with the ability to see inside the body using virtual reality headsets like the Oculus Rift.

“It wasn’t a ‘Eureka!’ moment, but more like two-or-three weeks as the vision came together,” says Sachs. “We can make robotics more human-like and virtual reality would give you that presence in the body.”

The two founders initially bootstrapped their startup and then raised a small seed round, then began steadily closing larger tranches of a rolling round from luminaries like Bill Gates through his Gates Frontier fund, Khosla Ventures, Eric Schmidt’s Innovation Endeavors, AME Cloud Ventures (investment firm from Yahoo founder Jerry Yang), Singularity Holdings investor Neil Devani and Salesforce founder Marc Benioff.

In all, the company has raised some $31.8 million to support the development of its technology.

For Sachs and Khalifa, even though the technology was broadly applicable in areas that would yield faster results than healthcare, tackling the health market first was important, Sachs says.

A lot of people pointed out that our technology has a lot of applications. [But] healthcare for all of the reasons that people talk about really is meaningful to us,” says Sachs. “I have the luxury of being able to work on a project that’s fascinating from a technology standpoint and meaningful from a social good aspect.”

Vicarious Surgical chief medical officer Dr. Barry Greene (left), chief executive, Adam Sachs (middle), and chief technology officer, Sammy Khalifa (right)

Science and entrepreneurship runs in the Sachs family. Adam’s father, Eli Sachs, is a professor at MIT and one of the co-founders of the revolutionary 3D-printing company, Desktop Metal .

According to Sachs, a number of innovations in robotics has led the company to develop what Sachs calls tiny humanoid robots. 

Picture a very robotic version of two human arms and a human head,” says Sachs. “Two robotic arms that have the same degrees of freedom and proportions of a human arms and a camera that is placed above the shoulders of the robot… it’s a few inches across.”

Using the motorized robot a surgeon can remotely control the robot’s movements to operate on a patient. “They can be in another room or they can be hundreds of miles away (with an excellent internet connection,” says Sachs. 

For surgeons using Vicarious’ technology, the primary feedback is virtual, Sachs says. They look through the “eyes” of the robot and can look down and see the robot’s arms. “We track the surgeon’s arm motion and mimics their arms and hands. The primary feedback is to create the impression of presence of the surgeon as if they’d been shrunk down.”

The mission of Vicarious Surgical’s founders and its investors is to drive down both the cost of higher impact surgeries and access to the best surgeons through remote technologies.

The market for medical robots is highly lucrative. Earlier today, Johnson & Johnson announced the $3.4 billion acquisition of Auris Health — a maker of robotic diagnostics and surgical tools. In all, estimates put the robotic surgery market at somewhere around $90 billion, according to a report from Allied Market Research.

“We like to invest in things that if they work they truly change the industry. Minimally invasive surgeries and surgical robotics is definitely the future and it’s just getting started,” says Dror Berman, a managing director with Innovation Endeavors.

There were 900,000 surgeries done using surgical robotics out of a total of 313 million surgical procedures. It’s a low percentage and it’s very expensive to buy those… In general that’s not offered to the vast majority of patients. Vicarious is about democratizing that access… if it works it will open a huge market for people who can use much better procedures for much better surgeries,” Berman says. 

“One of the problems with that is that smaller hospitals can’t afford these $2 million robots,” says Sachs. “By making the devices tiny and fitting the motion inside a patient we can expand access long-term and in smaller hospitals where a surgeon might be able to start a procedure.”

Later, as Vicarious is able to build up taxonomies of different surgical practices and methods, the hospitals could begin to automate more aspects of the procedures to the point where many of these surgeries may just be handled by the robot.

The company is currently testing its miniature robots in laboratories and would not comment on whether it was using animal subjects. Vicarious is also modeling the human abdomen and conducting as many virtual tests as possible.

The new funding, Sachs says, will take the company through its applications for the Food and Drug Administration.

“A lot of our long-term vision is about growing and scaling our technology to the point where it’s accessible not just to big cities and major hospitals in the U.S. and also the small cities and towns in the rural U.S. and around the world as well,” says Sachs. “Long-term it’s about the democratization of surgery that can come from surgical robotics.”

News Source = techcrunch.com

Two former Qualcomm engineers are using AI to fix China’s healthcare problem

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Artificial intelligence is widely heralded as something that could disrupt the jobs market across the board — potentially eating into careers as varied as accountants, advertising agents, reporters and more — but there are some industries in dire need of assistance where AI could make a wholly positive impact, a core one being healthcare.

Despite being the world’s second-largest economy, China is still coping with a serious shortage of medical resources. In 2015, the country had 1.8 physicians per 1,000 citizens, according to data compiled by the Organization for Economic Cooperation and Development. That figure puts China behind the U.S. at 2.6 and was well below the OECD average of 3.4.

The undersupply means a nation of overworked doctors who constantly struggle to finish screening patient scans. Misdiagnoses inevitably follow. Spotting the demand, forward-thinking engineers and healthcare professionals move to get deep learning into analyzing medical images. Research firm IDC estimates that the market for AI-aided medical diagnosis and treatment in China crossed 183 million yuan ($27 million) in 2017 and is expected to reach 5.88 billion yuan ($870 million) by 2022.

One up-and-comer in the sector is 12 Sigma, a San Diego-based startup founded by two former Qualcomm engineers with research teams in China. The company is competing against Yitu, Infervision and a handful of other well-funded Chinese startups that help doctors detect cancerous cells from medical scans. Between January and May last year alone, more than 10 Chinese companies with such a focus scored fundings of over 10 million yuan ($1.48 million), according to startup data provider Iyiou. 12 Sigma itself racked up a 200 million yuan Series B round at the end of 2017 and is mulling a new funding round as it looks to ramp up its sales team and develop new products, the company told TechCrunch.

“2015 to artificial intelligence is like 1995 to the Internet. It was the dawn of a revolution,” recalled Zhong Xin, who quit his management role at Qualcomm and went on to launch 12 Sigma in 2015. At the time, AI was cereping into virtually all facets of life, from public security, autonomous driving, agriculture, education to finance. Zhong took a bet on health care.

“For most industries, the AI technology might be available, but there isn’t really a pressing problem to solve. You are creating new demand there. But with healthcare, there is a clear problem, that is, how to more efficiently spot diseases from a single image,” the chief executive added.

An engineer named Gao Dashan who had worked closely with Zhong at Qualcomm’s U.S. office on computer vision and deep learning soon joined as the startup’s technology head. The pair both attended China’s prestigious Tsinghua University, another experience that boosted their sense of camaraderie.

Aside from the potential financial rewards, the founders also felt an urge to start something on their own as they entered their 40s. “We were too young to join the Internet boom. If we don’t create something now for the AI era, it will be too late for us to be entrepreneurs,” admitted Zhong who, with age, also started to recognize the vulnerability of life. “We see friends and relatives with cancers get diagnosed too late and end up  The more I see this happen, the more strongly I feel about getting involved in healthcare to give back to society.”

A three-tier playbook

12 Sigma and its peers may be powering ahead with their advanced imaging algorithms, but the real challenge is how to get China’s tangled mix of healthcare facilities to pay for novel technologies. Infervision, which TechCrunch wrote about earlier, stations programmers and sales teams at hospitals to mingle with doctors and learn their needs. 12 Sigma deploys the same on-the-ground strategy to crack the intricate network.

Zhong Xin, Co-founder and CEO of 12 Sigma / Photo source: 12 Sigma

“Social dynamics vary from region to region. We have to build trust with local doctors. That’s why we recruit sales persons locally. That’s the foundation. Then we begin by tackling the tertiary hospitals. If we manage to enter these hospitals,” said Zhong, referring to the top public hospitals in China’s three-tier medical system. “Those partnerships will boost our brand and give us greater bargaining power to go after the smaller ones.”

For that reason, the tertiary hospitals are crowded with earnest startups like 12 Sigma as well as tech giants like Tencent, which has a dedicated medical imaging unit called Miying. None of these providers is charging the top boys for using their image processors because “they could easily switch over to another brand,” suggested Gao.

Instead, 12 Sigma has its eyes on the second-tier hospitals. As of last April, China had about 30,000 hospitals, out of which 2,427 were rated tertiary, according to a survey done by the National Health and Family Planning Commission. The second tier, serving a wider base in medium-sized cities, had a network of 8,529 hospitals. 12 Sigma believes these facilities are where it could achieve most of its sales by selling device kits and charging maintenance fees in the future.

The bottom tier had 10,135 primary hospitals, which tend to concentrate in small towns and lack the financial capacity to pay the one-off device fees. As such, 12 Sigma plans to monetize these regions with a pay-per-use model.

So far, the medical imaging startup has about 200 hospitals across China testing its devices — for free. It’s sold only 10 machines, generating several millions of yuan in revenue, while very few of its rivals have achieved any sales at all according to Gao. At this stage, the key is to glean enough data so the startup’s algorithms get good enough to convince hospital administrators the machines are worth the investment. The company is targeting 100 million yuan ($14.8 million) in sales for 2019 and aims to break even by 2020.

China’s relatively lax data protection policy means entrepreneurs have easier access to patient scans compared to their peers in the west. Working with American hospitals has proven “very difficult” due to the country’s privacy protection policies, said Gao. They also come with a different motive. While China seeks help from AI to solve its doctor shortage, American hospitals place a larger focus on AI’s economic returns.

“The healthcare system in the U.S. is much more market-driven. Though doctors could be more conservative about applying AI than those in China, as soon as we prove that our devices can boost profitability, reduce misdiagnoses and lower insurance expenditures, health companies are keen to give it a try,” said Gao.

News Source = techcrunch.com

Healthcare by 2028 will be doctor-directed, patient-owned and powered by visual technologies

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Visual assessment is critical to healthcare – whether that is a doctor peering down your throat as you say “ahhh” or an MRI of your brain. Since the X-ray was invented in 1895, medical imaging has evolved into many modalities that empower clinicians to see into and assess the human body.  Recent advances in visual sensors, computer vision and compute power are currently powering a new wave of innovation in legacy visual technologies(like the X-Ray and MRI) and sparking entirely new realms of medical practice, such as genomics.

Over the next 10 years, healthcare workflows will become mostly digitized, with wide swaths of personal data captured and computer vision, along with artificial intelligence, automating the analysis of that data for precision care. Much of the digitized data across healthcare will be visual and the technologies that capture and analyze it are visual technologies.

These visual technologies traverse a patient’s journey from diagnosis, to treatment, to continuing care and prevention.They capture, analyze, process, filter and manage any visual data from images, videos, thermal, x-ray’s, ultrasound, MRI, CT scans, 3D, and more. Computer vision and artificial intelligence are core to the journey.

Three powerful trends — including miniaturization of diagnostic imaging devices, next generation imaging to for the earliest stages of disease detection and virtual medicine — are shaping the ways in which visual technologies are poised to improve healthcare over the next decade.

Miniaturization of Hardware Along with Computer Vision and AI will allow Diagnostic Imaging to be Mobile

Medical imaging is dominated by large incumbents that are slow to innovate. Most imaging devices (e.g. MRI machines) have not changed substantially since the 1980s and still have major limitations:

  • Complex workflows: large, expensive machines that require expert operators and have limited compatibility in hospitals.

  • Strict patient requirements: such as lying still or holding their breath (a problem for cases such as pediatrics or elderly patients).

  • Expensive solutions: limited to large hospitals and imaging facilities.

But thanks to innovations in visual sensors and AI algorithms, “modern medical imaging is in the midst of a paradigm shift, from large carefully-calibrated machines to flexible, self-correcting, multi-sensor devices” says Daniel K. Sodickson, MD, PhD, NYU School of Medicine, Department of Radiology.

MRI glove-shaped detector proved capable of capturing images of moving fingers.  ©NYU Langone Health

Visual data capture will be done with smaller, easier to use devices, allowing imaging to move out of the radiology department and into the operating room, the pharmacy and your living room.

Smaller sensors and computer vision-enabled image capture will lead to imaging devices that are being redesigned a fraction of the size with:

  • Simpler imaging process: with quicker workflows and lower costs.

  • Lower expertise requirements: less complexity will move imaging from the radiology department to anywhere the patient is.

  • Live imaging via ingestible cameras: innovation includes powering ingestibles via stomach acid, using bacteria for chemical detection and will be feasible in a wider range of cases.

“The use of synthetic neural network-based implementations of human perceptual learning enables an entire class of low-cost imaging hardware and can accelerate and improve existing technologies,” says Matthew Rosen, PhD, MGH/Martinos Center at Harvard Medical School.

©Matthew Rosen and his colleagues at the Martinos Center for Biomedical Imaging in Boston want liberate the MRI.

Next Generation Sequencing, Phenotyping and Molecular Imaging Will Diagnose Disease Before Symptoms are Presented

Genomics, the sequencing of DNA, has grown at a 200% CAGR since 2015, propelled by Next Generation Sequencing (NGS) which uses optical signals to read DNA, like our LDV portfolio company Geniachip which was acquired by Roche. These techniques are helping genomics become a mainstream tool for practitioners, and will hopefully make carrier screening part of routine patient care by 2028.

Identifying the genetic makeup of a disease via liquid biopsies, where blood, urine or saliva is tested for tumor DNA or RNA, are poised to take a prime role in early cancer screening. The company GRAIL, for instance, raised $1B for a cancer blood test that uses NGS and deep learning to detect circulating tumor DNA before a lesion is identified.

Phenomics, the analysis of observable traits (phenotypes) that result from interactions between genes and their environment, will also contribute to earlier disease detection. Phenotypes are expressed physiologically and most will require imaging to be detected and analyzed.

Next Generation Phenotyping (NGP) uses computer vision and deep learning to analyze physiological data, understand particular phenotype patterns, then it correlates those patterns to genes. For example, FDNA’s Face2Gene technology can identify 300-400 disorders with 90%+ accuracy using images of a patient’s face. Additional data (images or videos of hands, feet, ears, eyes) can allow NGP to detect a wide range of disorders, earlier than ever before.

Molecular imaging uses DNA nanotech probes to quantitatively visualize chemicals inside of cells, thus measuring the chemical signature of diseases. This approach may enable early detection of neurodegenerative diseases such as Alzheimer’s, Parkinson’s and dementia.

Telemedicine to Overtake Brick-and-Mortar Doctors Visits

By 2028 it will be more common to visit the doctor via video over your phone or computer than it will be to go to an office.

Telemedicine will make medical practitioners more accessible and easier to communicate with. It will create an all digitized health record of visits for a patient’s profile and it will reduce the costs of logistics and regional gaps in specific medical expertise. An example being the telemedicine services rendered for 1.9M injured in the war in Syria.4

The integration of telemedicine into ambulances has led to stroke patients being treated twice as fast.  Doctors will increasingly call in their colleagues and specialists in real time.

Screening technologies will be integrated into telemedicine so it won’t just be about video calling a doctor. Pre-screening your vitals via remote cameras will deliver extensive efficiencies and hopefully health benefits.

“The biggest opportunity in visual technology in telemedicine is in solving specific use cases. Whether it be detecting your pulse, blood pressure or eye problems, visual technology will be key to collecting data,” says Jeff Nadler, Teldoc health.

Remote patient monitoring (RPM) will be a major factor in the growth of telemedicine and the overall personalization of care. RPM devices, like we are seeing with the Apple Watch, will be a primary source of real-time patient data used to make medical decisions that take into account everyday health and lifestyle factors. This personal data will be collected and owned by patients themselves and provided to doctors.

Visual Tech Will Power the Transformation of Healthcare Over the Next Decade

Visual technologies have deep implications for the future of personalized healthcare and will hopefully improve the health of people worldwide. It represents unique investment opportunities and we at LDV Capital have reviewed over 100 research papers from BCC Research, CBInsights, Frost & Sullivan, McKinsey, Wired, IEEE Spectrum and many more to compile our 2018 LDV Capital Insights report. This report highlights the sectors that power to improve healthcare based on the transformative nature of the technology in the sector, projected growth and business opportunity.

There are tremendous investment opportunities in visual technologies across diagnosis, treatment and continuing care & prevention that will help make people healthier across the globe.

News Source = techcrunch.com

Healthcare wearables level up with new moves from Apple and Alphabet

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Announcements that Apple has partnered with Aetna health insurance on a new app leveraging data from its Apple Watch and reports that Verily — one of the health-focused subsidiaries of Google‘s parent company — Alphabet, is developing a shoe that can detect weight and movement, indicate increasing momentum around using data from wearables for clinical health applications and treatments.

For venture capital investors, the movea from Apple and Alphabet to show new applications for wearable devices is a step in the right direction — and something that’s been long overdue.

“As a healthcare provider, we talk a lot about the important of preventative medicine, but the US healthcare system doesn’t have the right incentives in place to pay for it,” writes Cameron Sepah, an entrepreneur in residence at Trinity Ventures. “Since large employers largely pay for health care (outside of Medicaid and Medicare), they usually aren’t incentivized to pay for prevention, since employees don’t stay long enough for them to incur the long-term costs of health behaviors. So most startups in this space end up becoming an expendable wellness perk for companies. However, if an insurer like Aetna keeps its members long enough, there’s better alignment for disseminating this app.”

Sepah sees broader implications for the tie ups between health insurers and the tech companies making all sorts of devices to detect and diagnose conditions.

“Most patients relationship with their insurer is just getting paper bills/notifications in the mail, with terrible customer satisfaction (NPS) across the board,” Sepah wrote in an email. “But when there’s a way to build a closer relationship through a device that sits on your wrist, it opens possibilities to partner with other health tech startups that can notify patients when they are having mental health issues before they even recognize it (e.g. Mindstrong); or when they should get treatment for hypertension or sleep apnea (e.g. Cardiogram); or leverage their data into a digital chronic disease treatment program (e.g. Omada Health).”

Aetna isn’t the first insurer to tie Apple Watch data to their policies. In September 2018, John Hancock launched the Vitality program, which also gave users discounts on the latest Apple Watch if they linked it with John Hancock’s app. The company also gave out rewards if users changed their behavior around diet and exercise.

In a study conducted by Rand Europe of 400,000 people in the U.S., the U.K., and South Africa, research showed that users who wore an Apple Watch and participated in the Vitality benefits program averaged a 34 percent increase in physical activity compared to patients without the Apple Watch. It equated to roughly 5 extra days of working out per month.

“[It will] be interesting to see how CVS/Apple deal unfolds. Personalized health guidance based on a combination of individual medical records and real time wearable data is a huge and worthy goal,” wrote Greg Yap, a partner at the venture capital firm, Menlo Ventures . But, Yap wrote,I’m skeptical their first generation app will have enough data or training to deliver value to a broad population, but we’re likely to see some anecdotal benefits, and I find that worthwhile.”

Meanwhile the types of devices that record consumer health information are proliferating — thanks in no small part to Verily.

With the company reportedly working to co-develop shoes with sensors that monitor users’ movement and weight, according to CNBC, Verily is expanding its portfolio of connected devices for health monitoring and management. The company already has a watch that monitors certain patient data — including an FDA approved electrocardiogram — and is developing technologies to track diabetes-related eye disease in patients alongside smart lenses for cataract recovery.

It’s part of a broader push from technology companies to tie themselves closer to consumer health as they look to seize a part of the nearly $3 trillion healthcare industry.

If more data can be collected from wearable devices (or consumer behavior) and then monitored in a consistent fashion, tech companies ideally could suggest interventions faster and provide lower cost treatments to help avoid the need for urgent or emergency care.

These “top of the funnel” communications and monitoring services from tech companies could conceivably divert users and future healthcare patients into an alternative system that is potentially lower-cost with more of a focus on outcomes than on the volume of care and number of treatments prescribed.

Not all physicians are convinced that the use of persistent monitoring will result in better care. Dr. John Ioannidis, a celebrated professor from Stanford University, is skeptical about the utility of monitoring without a better understanding of what the data actually reveals.

“Information is good for you provided you know what it means. For much of that information we have no clue what it means. We have absolutely no idea what to do with it other than creating more anxiety,” Dr. Ioannidis said

The goal is to provide personalized guidance where machine learning can be used to identify problems and come up in concert with established therapeutic practices, according to investors who back life sciences starups.

“I think startups like Omada, Livongo, Lark, Vida, Virta, and others, can work and are already working on this overall vision of combining real time and personal historical data to deliver personalized guidance. But to be successful, startups need to be more narrowly focused and deliver improved outcomes and financial benefits right away,” according to Yap.

 

News Source = techcrunch.com

Japan’s “Society 5.0” initiative is a roadmap for today’s entrepreneurs

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Japan, still suffering the consequences of its ‘Lost Decade’ of economic stagnation, is eyeing a transformation more radical than any the industrialized world has ever seen.

Boldly identified as “Society 5.0” Japan describes its initiative as a purposeful effort to create a new social contract and economic model by fully incorporating the technological innovations of the fourth industrial revolution. It envisions embedding these innovations into every corner of its ageing society. Underpinning this effort is a mandate for sustainability, bound tightly to the new United Nations global goals, the SDG’s. Japan wants to create, in its own words, a ‘super-smart’ society, and one that will serve as a roadmap for the rest of the world.

Japan hosts its first ever G20 summit in 2019 and this grand initiative will be on the agenda at the official B20 (Business 20) summit headed by the chairman of Hitachi .

Components of Society 5.0 and its implications for the US

Society 5.0 addresses a number of key pillars: infrastructure, finance tech, healthcare, logistics, and of course AI. The markets being grown in Japan are impressive. In robotics they predict $87 billion in investments and the IoT market is poised to hit $6 Billion in 2019

This means we are behind. We have not put enough focus on what AI can do not only for industry, but what it can do to move society forward and solve many of our most pervasive problems.

It isn’t just a problem of lack of investment by the United States government. Just this past September the Department of Defense announced a commitment of  $2 billion over the next five years toward new programs advancing artificial intelligence. This issue lies in the lack of a complete partnership between the United States Government and the private sector. But, why is Japan in the lead?

Full Fledged Embrace of AI and Cutting Edge Technology

Along with $1.44 billion from the government for AI funding, the Innovation Network Corp. of Japan is reorganizing to focus on AI and big data. They are projected to grow to $4 billion and operate to at least 2034. Much like in Britain and France, the government has made it a point to team with the private sector to move all of society forward.

Fresh Ideas to address Persistent Societal Problems

Along with the governmental and private partnership, Society 5.0 harnesses AI to address problems that continue to plague society. They are looking at how AI can help with the trappings of an aging population, pollution, and most importantly, how create such a sweeping initiate that is also agile enough to adjust to constant change of society everyday.

The goal of the work being done at Hitachi now on Society 5.0 is to create a Human-Centered Society. Technologies and innovations need to be leveraged to aid humans and our advancement, not to replace us in anyway.

How do American Technologists Close the Gap and partner with Japan?

First, in Silicon valley and beyond, American technologists and entrepreneurs must create a partnership between themselves and the U.S. government. Only when working together can we reach our full potential.

Take the British government as a model. This past April they announced a that it had put together “an AI deal worth more than £1 billion” that includes public and private funding.

France sees the opportunity and is betting on AI as well. This past spring President Emmanuel Macron announced an AI plan that includes $1.6 billion in funding, new research centers, data-sharing initiatives. The road has been clearly mapped for the U.S., just follow the path.

Next, American technologists and entrepreneurs must focus on certain industries and their ability to improve society in its entirety. There are 4 major industries technologists and entrepreneurs can focus on, and disrupt by modeling Japan’s Society 5.0 ideas and approach.

Healthcare

Japan’s society is more heavily weighted towards people over 60 than the rest of the world. In turn, more healthcare is needed to support people for a longer period of time as people live longer.

American technologists and entrepreneurs can capitalize by investing in and developing cognitive AI technologies that will greatly lessen the time needed to complete administrative tasks to allowing medical professionals to concentrate more on actually providing healthcare.

A UK  report suggests approximately 10% of NHS operational expenses could be saved through AI and automation. If this can be mirrored and then improved in the US the rising cost of healthcare, and declining public health can be tackled simultaneously.

Mobility

While the population in urban centers is growing, rural areas are being left with diminished access to everyday needs like, transportation, stores, hospitals, and community centers.
Continue to invest and develop autonomous vehicles, drones and single-driver cargo truck convoys. Access to basic everyday needs will not be a given for those residing far from urban centers. Here lies another dual opportunity for technologists and entrepreneurs, service those in need while simultaneously moving tech and society forward.

Infrastructure

28 percent of major U.S. roads are rated “poor” or in need of a complete rebuild. AI and other technologies such as robots, drones, sensors and IoT will help solve these problems. How? If only 10 percent of cars in the  U.S. became self-driving, those 26 million vehicles would generate 38.4 zettabytes of data annually.  In one year that would create over eight times the volume of the world’s current data.

Not only must we increase investment in autonomous vehicles, but we must make a concerted effort to leverage the data they will produce. Technologists and entrepreneurs will have an unprecedented advantage to leverage this data to predict everything from needs of infrastructure improvements to all bridges and roads being used by the autonomous vehicles. Companies like Hitachi are the ones you should look to work with. They’re doing amazing things in infrastructure today. How can this be translated to the U.S.? That is a question for you to ask and ultimately solve.

Mass transit is far ahead in Japan as well. Japan’s maglev train set a world record speed of 375 mph. With vast expanses of the United States landscape, and the ever growing challenges of flying, the rail transport industry is ripe for the picking. Plans for the midwest and the west coast have seem to come and go. What will be the plan that actually works?

Fintech

Blockchain is a  solution that will advance security, transparency and fraud prevention in society. Cognitive AI is producing results towards the goals of Society 5.0, ether it be a cashless society or a consumer focused one. Voice prompted AI assistants are currently providing consumer support by depositing money, performing trades, mastering trading platforms, networking, and onboarding of customers. This Omni-channel integration will result in finance and banking evolving to grow around customers needs. With this evolution we will see far less needs for cash and brick and mortar banks.

In the end, data alone is just code without meaning to its user. But, when technologists and entrepreneurs implement AI to its max potential a true difference will be seen. In Society 5.0, humanity and machines will solve the greatest issues society faces in the 21st century. We must embrace what Japan is creating with Society 5.0, or we will simply become a vestige of the technological past.

 

News Source = techcrunch.com

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