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Digital Health MedTech

Bigfoot Medical: Pioneering Diabetes Management Solutions & Their Future Prospects

Beginning of March 2023 Bigfoot Medical announced it has FDA clearance for the Android version of the Bigfoot Unity® Mobile App, a necessary component of the Bigfoot Unity® Diabetes Management System. Given that 41 percent of U.S. smartphone users choose Android devices, this clearance enables expanded access to a large group of people with Type 2 diabetes. Bigfoot Unity has been compatible with iOS devices since May 2021. 

The medical device landscape is continuously evolving, with companies like Bigfoot Medical revolutionizing diabetes care through cutting-edge technology and artificial intelligence. In this post, we explore the history, achievements, and future prospects of Bigfoot Medical, an industry leader in diabetes management solutions.

Early Days: Laying the Groundwork for Success

Founded in 2014 by Jeffrey Brewer and Bryan Mazlish, Bigfoot Medical was driven by a personal connection to the challenges of diabetes management. Their goal is to create an integrated system that simplifies and enhances diabetes care using advanced technology and AI.

From day one, Bigfoot Medical focused on patient-centric solutions, which has been instrumental in their success and significant progress in the diabetes care sector.

Achievements: Transforming Diabetes Care with Bigfoot Unity™

Bigfoot Medical’s flagship product, the Bigfoot Unity™ Diabetes Management System, is an innovative solution that combines a continuous glucose monitor (CGM), insulin pen caps, and a mobile app to provide a seamless, data-driven experience for those living with insulin-requiring diabetes.

Key achievements of Bigfoot Medical include:

  1. FDA Approval: In 2021, Bigfoot Medical received FDA clearance for the Bigfoot Unity™ System, a major milestone in their journey.
  2. Enhanced Patient Outcomes: The Bigfoot Unity™ System has demonstrated improved glycemic control, reduced hypoglycemic events, and enhanced quality of life for users.
  3. Strategic Partnerships: Bigfoot Medical has formed alliances with industry leaders like Abbott, ensuring technology integration and broader patient reach.
  4. Awards and Recognitions: The company has garnered numerous accolades, such as being named one of Fast Company’s Most Innovative Companies in 2021.

Competition and Market Size: Navigating a Dynamic Industry

The global diabetes care devices market is substantial, with a value of $20.0 billion in 2020, and is projected to reach $38.3 billion by 2030, growing at a CAGR of 6.6% from 2021 to 2030. This significant market size is attributed to the increasing prevalence of diabetes, the need for better management solutions, and rising awareness about diabetes care. In such a dynamic industry, Bigfoot Medical faces competition from various established and emerging players, such as Medtronic, Dexcom, Insulet, and Tandem Diabetes Care, which offer insulin pumps, CGMs, and other diabetes management solutions.

Despite the competitive landscape, Bigfoot Medical differentiates itself through its unique, integrated approach to diabetes care, focusing on providing a seamless, data-driven experience for users. Additionally, the company’s commitment to leveraging AI and machine learning for personalized treatment plans offers a competitive edge that could attract patients seeking tailored solutions for their diabetes management. By continuing to innovate and staying ahead of the curve, Bigfoot Medical aims to secure a significant share of this growing market, providing millions of diabetes patients worldwide with advanced, user-friendly, and effective diabetes care solutions.

Future Prospects: Embracing Continued Innovation

With a strong foundation and proven success, Bigfoot Medical is poised to keep transforming diabetes care. Their future prospects encompass:

  1. Diversified Product Line: Bigfoot Medical plans to expand its product offerings, addressing a broader range of patient needs.
  2. Global Market Reach: The company aims to make its groundbreaking solutions accessible to patients worldwide.
  3. Personalized Medicine: Bigfoot Medical is committed to harnessing AI and machine learning to develop tailored treatment plans for diabetes patients, further enhancing outcomes and quality of life.
  4. Research and Collaborations: The company will continue to work with research institutions, healthcare providers, and industry partners to drive innovation and uncover new ways to improve diabetes care.

Bigfoot Medical’s dedication to enhancing the lives of diabetes patients is evident in their history of innovation and promising future. As they continue to evolve and expand, Bigfoot Medical will undoubtedly remain a leader in the medical device industry, shaping the future of diabetes management for millions around the globe. With a unique approach to diabetes care and a commitment to delivering personalized solutions, Bigfoot Medical is well-positioned to make a lasting impact on patients’ lives and redefine the standards of diabetes care in the years to come.

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Digital Health MedTech

The Top 10 Medical Devices Types Revolutionizing Digital Health in 2023

Digital health in 2023 continues to advance rapidly. Medical devices that utilize digital technology are becoming increasingly popular and offer a wide range of benefits, including improved accuracy, increased convenience, and greater efficiency. In this post, we’ll take a look at the top 10 medical devices revolutionizing digital health in 2023.

Smart Inhalers

Smart inhalers are innovative medical devices that can help patients manage their asthma and other respiratory conditions more effectively. These devices are equipped with sensors that can track the usage of the inhaler, monitor patient symptoms, and provide feedback to help optimize treatment plans.

Wearable Glucose Monitors

Wearable glucose monitors are becoming increasingly popular for individuals with diabetes. These devices provide continuous monitoring of blood glucose levels and can alert the wearer when their levels are too high or too low, allowing for more timely and effective management of the condition.

Remote Patient Monitoring Systems

Remote patient monitoring systems enable healthcare providers to monitor patients remotely, reducing the need for in-person visits and improving patient outcomes. These systems typically involve wearable devices that can track vital signs, medication adherence, and other health metrics.

Virtual Reality Therapy Devices

Virtual reality therapy devices are a new and innovative way to treat a range of mental health conditions, including anxiety and PTSD. These devices allow patients to immerse themselves in a virtual environment, providing a safe and controlled space to address and overcome their fears.

Portable Ultrasound Machines

Portable ultrasound machines are an exciting development in medical imaging technology, allowing for easier and more accessible imaging in a range of clinical settings. These devices are also more cost-effective than traditional ultrasound machines, making them valuable tools for healthcare providers.

  • Philips CX50
  • Chison Sonobook 9
  • Mindray M7
  • GE Logiq e

AI-Powered Diagnostics Tools

AI-powered diagnostics tools are changing the game when it comes to early disease detection and diagnosis. These devices can analyze large amounts of data to detect patterns and anomalies that may indicate a health condition, enabling earlier intervention and improved patient outcomes.

Smart Pill Bottles

Smart pill bottles are an excellent tool for medication adherence, particularly for patients with chronic conditions who need to take multiple medications. These devices can track medication usage, remind patients to take their medication and alert healthcare providers if medication is missed

Robotic Exoskeletons

Robotic exoskeletons are a new and exciting development in the field of physical therapy. These devices can assist patients with mobility issues, providing support and assistance with movement and helping to reduce the risk of falls and other injuries.

Wireless ECG Monitors

Wireless ECG monitors are a convenient and effective way to monitor cardiac health. These devices can be worn for extended periods, providing continuous monitoring of heart rate and rhythm, and alerting healthcare providers to potential issues in real time.

Smart Contact Lenses

Smart contact lenses are an exciting new development in digital health, allowing for continuous monitoring of a range of health metrics, including glucose levels, intraocular pressure, and other vital signs. These devices could have a significant impact on patient outcomes, particularly for those with chronic conditions. We have seen early pioneers (Alcon+Verily, Mojo) failing to deliver on their promises, but the platform has its potential and the research continues. The most recent advance was when the Ulsan National Institute of Science and Technology (UNIST) scientists led by Dr. Seol Seung-Kwon and Professor Lim-Doo Jeong made a significant step forward in 3D-printed smart lenses.

Medical devices are revolutionizing digital health in 2023, offering patients and healthcare providers new tools to improve patient outcomes, reduce costs, and increase access to care. From wearable glucose monitors to smart inhalers and AI-powered diagnostics tools, the future of digital health looks bright. Are you working on any of the trends above? Do you have a new disrupting healthcare technology in mind? Let us know!

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Digital Health

Germany leading in DTx reimbursement with 42 DiGA-approved apps

With four more Digital Therapeutics (DTx) added in January, Germany is a leader in reimbursing of prescribed digital health applications. The DiGA directory lists now 42 digital therapeutics available to be prescribed and reimbursed for German patients.

It has been almost two years since we have been discussing the approval of Deprexis, the 11th DiGA-approved digital therapeutics. The pace of the German regulator, the Federal Institute for Drugs and Medical Devices (BfArM) increased dramatically.

BfArM has so far received 165 applications. By the 22nd of February 2023, there were 43 positive decisions. Sixteen DTx are DiGA-approved permanently, 27 are approved provisionally (gathering additional RWE), and five were removed from the directory (two of them on developer request).

BfArM - DiGA assessment of digital therapeutics results
BfArM – DiGA assessment of digital therapeutics results

How to get a digital health application (DiGA) in Germany?

  1. Arrange a doctor’s appointment

    It is best to let your doctor advise you on your desired DiGA DTx.

  2. Get a prescription

    You get a red prescription. If you do not receive one, the health insurance company can also pay for the DiGA without a prescription.

  3. Submit

    Submit the prescription to your health insurance company (Krankenkasse). This can be done online. If in doubt, contact customer service.

  4. Receive code

    Your cash register will send you an activation code for three months (90 days) of DiGA usage. After that, you will need to submit a prescription again.

  5. Download the app

    Download the app to your mobile phone. Every DiGA is available in the google play store or app store. Some can also be used via browser.

  6. Enter code

    Where exactly you have to enter the code in the app depends on the DiGA. However, the application should query for the code itself.

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Digital Health

NOCD receives $34M funding, investors include Cigna and Kaiser Permanente

This Series B round of funding for the startup was led by Cigna Ventures and 7wireVentures, with participation from Longitude Capital, Kaiser Permanente Ventures, F-Prime Capital, Eight Roads Capital, and Health Enterprise Partners. It brings the total funding of NOCD to $84M.

NOCD – Company Overview

NOCD is the world’s leading provider of treatment for obsessive-compulsive disorder (OCD) and Community-Driven Therapy. Founded in 2018, the company aims to help get proper diagnosis and treatment to 180 million people suffering from OCD.

According to NOCD, it takes an average of 17 years for people with OCD to get proper treatment due to high costs and a shortage of specialists. NOCD offers Exposure and Response Prevention (ERP) therapy, the most proven OCD treatment, and partners with insurance plans to make it affordable. Inside the NOCD platform, patients can do live video sessions with a licensed ERP therapist, and get support between sessions from self-help tools and peer communities.

About NOCD. Source: Youtube

Stephen Smith – NOCD Founder and CEO

Stephen Smith – NOCD CEO. Source: LinkedIn

NOCD founder, Stephen Smith is himself an OCD patient. It is his own experience in the search for a diagnosis and effective treatment, that has driven him to start NOCD. Listen to the interview with Stephen Smith by Alex Wess from The Pulse by Wharton Digital Health below:

NOCD – Results so far

According to the research data, the Virtual ERP at NOCD Therapy has demonstrated clinically significant outcomes, including a 35% reduction in OCD symptom severity and an over 40% reduction in anxiety, stress, and depression symptoms.

NOCD has been successful in its coverage expansion, it is now available in all 50 States of USA and in the United Kingdom. In the US it is working with main insurance plans. The company assesses, that 2 of 3 US patients would have the service covered.

NOCD has over 300 ERP therapists and is providing more than 20,000 virtual therapy sessions per month. It also offers access to the largest online OCD community with over 100,000 community member engagements per month.

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Digital Health

Meet Troy Tazbaz, a new director of the FDA Digital Health CoE

Troy Tazbaz Linkedin profile. Source: Linkedin

Troy Tazbaz has been appointed as a Director of the Digital Health Center of Excellence at the FDA. Mr. Tazbaz combines a long career in IT with long and personal involvement in healthcare.

Most media outlets focus on Mr. Tazbaz’s recent career as a cloud infrastructure at Oracle and earlier at social software Ning. For us, however, the most important is his voluntary and very personal engagement in patient care, especially in Hematology and Oncology.

Since 2010 Troy Tazbaz has been involved in campaigning for The Leukemia & Lymphoma Society, a Patient Advocacy Group, and the largest nonprofit dedicated to fighting blood cancer. Since 1949, the LLS has donated over $1.6 billion to support research on leukemia, lymphoma, Hodgkin’s disease, and myeloma.

Mr. Tazbaz has very personal experience in oncology treatment and care. He was supporting his wife, Brynn Fowler in her patient journey as documented on her blog, The Millenial with Cancer. Mrs. Fowler was diagnosed with Stage IV Colon Cancer at the age 37. Now, after Mrs. Fowler has passed away, the website is still maintained by Mr. Tazbaz as The Continuum Diaries.

FDA DHCoE Infographics. Source: FDA.gov

FDA Digital Health Center of Excellence is part of the Center for Devices and Radiological Health (CDRH). It is responsible for envisioning a future of safe and effective healthcare delivery with a focus on advancing public health goals with the use of technology. It performs technology evaluation, policy development, and strategic partnerships, as well as maintains a network of Digital Health experts.



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Digital Health

Artificial Intelligence and Machine Learning (AI/ML) in Medical Devices

Do you know that FDA already approved 521 Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices?  

PAPNET. The failure of the pioneering AI/ML-enabled test.

Five hundred apps may not surprise you in January 2023, given the noise around Open AI and its GPTChat. However, the first such device, PAPNET Testing System, was approved over 28 years ago. In 1995, the year of Johnny Mnemonic and Ghost in the Shell movies!

Fig.1 Neural net-based (PAPNET, Neuromedical Systems, Suffern, NY) display of squamous cells (Papanicolaou stain) from a balloon smear showing effects of radiotherapy. Marked cell enlargement and vacuolization of cytoplasm are easily recognized.
Source: Koss, Leopold & Morgenstern, Nora & Tahir-Kheli, Naveed & Suhrland, Mark & Schreiber, Katie & Greenebaum, Ellen. (1998). Evaluation of Esophageal Cytology Using a Neural Net–Based Interactive Scanning System (the PAPNET System): Its Possible Role in Screening for Esophageal and Gastric Carcinoma. American journal of clinical pathology. 109. 549-57. 10.1093/ajcp/109.5.549.

PAPNET was using a neural network to analyze and interpret cytology from Pap smears. While this early system generated a lot of interest and Google Scholar lists 217 peer-reviewed articles on PAPNET results, the business side of it was not that great. The cost-effectiveness of the system in comparison to manual screening by cytotechnician was not there. Neuromedical Systems Inc, the company behind PAPNET went bust in 1999, and now its intellectual property is a part of Becton, Dickinson and Company portfolio.

List of FDA-approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices

If you look at the list of approved AI/ML-enabled medical devices, you will notice that the vast majority (392 medical devices, 75% of the whole) are for Radiology. Cardiovascular (57,11%), Hematology (15, 3%), and Neurology (14, 3%) are the remaining three significant categories.

Fig. 2: Split of approved AI/ML-enabled medical devices by Specialty Panel.
Source: FDA.gov, graphics by disrupting.healthcare

There are only 15 companies that have more than five AI/ML-enabled medical devices approved. Five of those companies are actually subsidiaries of GE, which in total owns 42 AI/ML-enabled medical devices. Then there is Siemens with 27 devices, Canon with 15, Aidoc Medical with 13, and Zebra Medical Vision with 9 devices. Philips, which also submitted its devices via different subsidiaries has in total 10 approved AI-enabled devices

Table 1. Companies with over 5 approved AI/ML-enabled medical devices
CompanyAI/ML-enabled medical devices
GE Medical Systems42
Siemens Healthineers27
Canon17
Aidoc Medical13
Philips Healthcare10
Zebra Medical Vision9
Quantib BV6
Arterys Inc.5
Clarius Mobile Health Corp.5
HeartFlow, Inc.5
RaySearch Laboratories AB5
Viz.ai, Inc.5
Source: FDA.gov, disrupting.healthcare

The future of AI-enabled and data-driven MedTech

The market for Artificial Intelligence / Machine Learning – enabled Medical Devices seems to be poised for growth. At a recent HLTH 2022 conference in Las Vegas, Michelle Wu, CEO of NyquistData, a company offering an AI-supported intelligence platform dedicated to MedTech companies discusses the advantages of using AI to unlock the potential of unstructured data from medical devices.

Leveraging Artificial Intelligence, Data to Improve Medical Devices
Source: Xtelligent Healthcare Media

Cleerly. An example of an AI-enabled medical device for a heart-attack-free future.

A good example of upcoming Artificial Intelligence / Machine Learning – enabled Medical Device may be Cleerly. The startup has raised $279 million from investors including Fidelity, T. Rowe Price, Novartis and Peter Thiel.

Founded by cardiologist James Min, former professor at Weill Cornell Medical College and director of the Dalio Institute of Cardiovascular Imaging at New York-Presbyterian, Cleerly uses AI to improve diagnostics cutting down on the time it takes to flag patients at risk.

Its proprietary AI algorithms analyze CCTA images to generate a 3D model of patients’ coronary arteries, identify their lumen (the cavity or channel within a tube or tubular organ such as a blood vessel) and vessel walls, locate and quantify stenoses, as well as identify, quantify and categorize plaque.

Source: Cleerly
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Digital Health

Digital Health unicorns 2020. Meet the most valuable HealthTech exits of 2020.

In 2020 Covid-19 pandemic focused humanity’s attention on healthcare and HealthTech. According to CB Report, 2020 was the year when a record number of seven digital health companies have achieved the status of unicorns. 

The truth is not that exciting, as CB Report included two companies that are not digital health. Those are Gan & Lee (insulin manufacturer from China, recently wandering into oncology with a new CDK 4/6 inhibitor) and German CureVac, known for its breakthrough achievements in RNA vaccine technology. 

While both are interesting for other reasons, we shall focus on the five digital health companies valued above one billion dollars. Who are those unicorns of 2020?

1. GoodRx; Valuation $12.7 billion

GoodRx logo – Digital Health unicorn valued at $12.7bn

GoodRx, headquartered in Santa Monica, CA collects drug prices from pharmacies across the U.S. and helps users find the cheapest option for the medication they’re seeking. Its founders are Doug Hirsch (one of the first Yahoo! employees, later VP of Product at Facebook). Scott Marlette (who developed Facebook Photos) and Trevor Bezdek (founder of Tryrarc, an IT services and consultancy provider working with Anthem/BlueCross). It has been Doug’s personal experience of searching after the most affordable medicine, that has inspired GoodRx.

Source: GoodRx presentation.

GoodRx had a very successful IPO and is profitable. However, it is facing competition from Amazon’s PrimeRx. When in November 2020 Amazon announced its offering, shares of GoodRx felt 23%. Another shock came in March 2021, when GoodRx presented its 2020 results with $551M revenue (42% growth YoY), but also an unexpected $230M net loss (in comparison to $63M net income in 2019).

I remain optimistic about GoodRx future, as it has maintained the growth of its user base and the service it is offering is helping US-based patients to save money while adhering to prescribed treatment.

See GoodRx investor presentation

2. Grail: $8 billion 

Grail logo. Grail is Digital Health Unicorn exit valued at $8bn

Grail, based in Menlo Park, CA, is a company specialized in blood tests. Its main product, called the Galleri test, is able to detect more than 50 types of cancer from one blood sample. It allows for early detection of the disease, which highly improves chances for successful treatment. The idea behind the test is a combination of Machine Learning and insights gathered from the Human Genome Project. The commercialization of the Galleri test is expected this year.

Source: Grail press kit. Galleri is the multi-cancer early detection blood test kit.


Grail has started in 2016 as a spin-off from Illumina, supposed to focus on liquid biopsy. It has raised above $2bn from investors including Jeff Bezos and Bill Gates. Illumina has kept a stake in the company, and in September 2021 re-acquired Grail for $8bn.

3. One Medical: $1.7 billion

One Medical logo. One Medical is a HealthTech unicorn valued at 1.7 billion dollars

One Medical is a membership-based digital platform for primary care service. The focus is on a seamless patient experience. One Medical offers telemedicine, online appointments for same-day or next-day, on-site labs. One Medical work in 12 U.S. markets, is available in DTC model and as an employee health benefit.

Founded by Tom X. Lee (who founded also a mobile clinical reference app Epocrates), the company went public in January 2020, raising $245M with a valuation of $1.7bn. One Medical is not profitable yet, reporting a $14M loss for 2020, however, its revenues and user-base are rising.

See One Medical Q4 2020 report.

4. Hims & Hers $1.6 billion

HIMS is a Digital Health unicorn valued at $1.6bn

Hims & Hers is a wellness brand operating digital pharmacy and telehealth platform. It has been started by Andrew Dudum and Jack Abraham via their VC Atomic. The initial offering o the company was around men’s health, in particular hair loss and erectile dysfunction, and it has been a tremendous success with $1M sales in the first week.

Source: HIMS website.

The company quickly grew with “hers” offering for women, and expansion into other therapeutic areas (primary care, mental health, dermatology). Hims & Hers includes its own EHR, and is targeting uninsured Millenials and Gen-Z patients with subscription plan priced at 20$ monthly.

The company went public in Jan 2021 raising $280M at the valuation of $1.6bn. While Hims & Hers is not profitable (estimated adj. EBITDA -$20M), its revenues are growing fast. 

See Hims & Hers investor presentation

5. Butterfly Network: $1.5 billion

Butterfly Network is a digital health unicorn valued at 1.5bn

Butterfly Network is working on a portable ultrasound medical imaging device. If successful it will decrease the cost and enable 3D imaging in remote areas, at home, or in an emergency setting with a Butterfly device and a smartphone.

The company is founded by Dr. Jonathan M. Rothberg, inventor of over 100 patents, mostly known for his work on next-gen DNA sequencing. As the company was heading towards IPO, it has also appointed a new CEO, Todd Fruchterman, former president of medical solutions at 3M.

Butterfly network went public via a merger with SPAC, at the valuation of $1.5bn. It has so far netted a $540M investment and it estimates to bring revenue of $78m in 2021.

See Butterfly Network Investor presentation

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Digital Health

Deprexis DiGA approved! 11th Digital Therapeutics (DTx) reimbursed in Germany

Deprexis – Digital therapeutics (DTx) for depression has received DiGA fast-track approval for DTx prescription and reimbursement in Germany.

The innovative DiGA process allows for fast-track approval of digital therapeutics and is the first such program in the world. It was created by the 2019 Digital Healthcare Act and allows apps to be prescribed by doctors while costs will be reimbursed through German statutory health insurance. 

The federal regulator, BfArM, manages DiGA. To get through DiGA, there are certain conditions:

  • Safety and Suitability for Use confirmed by CE certification as a medical product in the lowest-risk classes
  • Data Protection Conformity to data protection legislation (EU-wide GDPR and German Federal Data Protection Act (BDSG)) 
  • Information security Assessment is based on the recommendations of the German Federal Office for Information Security (BSI) and specific parts of  IT-Grundschutz (ITbasic data protection) catalogs designated for healthcare apps. 
  • Interoperability Related to German central IT standards directory available via online platform vesta, managed by gematik
  • Availability of preliminary data on the health benefits provided. Data must show that patient-relevant endpoints, in particular morbidity, mortality, or quality of life, are positively influenced.

Check out the full guide for DiGA here.

Results of DTx DiGA assessment as of June 2022. Source: BfArM.

At the time of writing this, there were 59 applications for DiGA listing, 40 for provisional listing, and 19 for the final listing. So far BfArM has approved 11 applications and rejected one. 25 applications have been withdrawn. In theory, the full approval process should take three months.

Deprexis, the 11th DiGA-approved application is interesting on its own. The manufacturer of the app is GAIA Group, an offspring of Airbus which builds its products on a proprietary AI platform called broca.

Deprexis, Digital Therapeutics (DTx) for depression. Source: GAIA Group AG


The focus here is clearly not on UX, but on medical benefits. Deprexis may not have the nicest UX, but is a proper DTx providing a three-month-long highly individualized Cognitive Behavioral Therapy support program for patients with depression. Application is able to perform a dialogue with the patient, learning from the input on the way. It contains 10 content modules and is available online via desktop and mobile app interface. 

Deprexis is backed by clinical data from at least nine studies, one of which had a sample of 3,800 patients, which does not sound much in pharmaceuticals, but it is a lot in DTx. While in Germany it just received reimbursement, in the US the price for treatment is $400 one-time payment, or $540 in three monthly installments of $135 each.

Categories
Digital Health

Big Data, AI and Coronavirus COVID-19 (NCov-2019)

Coronavirus COVID-19 (NCov-2019) has tested some of the digital health capabilities such as AI-based predicitive models and real-time big data visualization. As a positive side effect, it has also allowed public to learn about epidemiology via video games.

 

AI-based predictive models caught COVID-19 faster than us

According to the news reports, two AI-based and one human volunteer-based warning systems were first to alert humanity about the threat coming from Wuhan.

HealthMap Project Website

The first to react was the automated HealthMap system at Boston Children’s Hospital, which scans online news and social media reports for signals of spreading disease. Its warning was very quick and accurate (pneumonia cases in Wuhan) – raised at 11:12PM local time on December 30, but it did not assign significance high enough to the message.

The second report came from a human. Marjorie Pollack from the Program for Monitoring Emerging Diseases (ProMed)  has based on similar social media reports received about 4 hours before the HealthMap warning. ProMed team’s analysis was more detailed than the first warning from AI but came about half an hour later.

BlueDot Explorer (screenshot from the website)

The third and most publicized report came from another AI-based model called BlueDot. BlueDot first became aware of the pneumonia cases in Wuhan on December 31st, and in addition to notifying their clients and government stakeholders directly, they publicly released their findings in the Journal of Travel Medicine on January 14th. While it was not truly the fastest, it is worth hearing how Kamran Khan, a Canadian MD, and founder of BlueDot explains the process behind.

Big Data Visualization to track Coronavirus COVID-19 (NCov-2019)

Dashboards showing the number of infected people, geographical spread and trends of the disease are useful to HCPs but also journalists and the public. This use case, although unfortunate, shows how important it is to be able to see and not only read data.

coronavirus covid19 dashboard
Screenshot of the COVID-19 dashboard by Johns Hopkins CSSE

The first and most known dashboard came from the team at Johns Hopkins University. The dashboard, first shared publicly on Jan 22, illustrates the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries. It has been accompanied by an article in The Lancet.

Currently, there are multiple dashboards showing diverse aspects of the epidemic of COVID-19. The list of dashboards with working links can be found at ESRI website.

Coronavirus virally spreads a game for people want to know

Due to the virus business slows down. Except for Ndemic Creations, a studio that in 2012 developed Plague Inc. A game that simulates a viral epidemic.

Plague Inc. is a game, but it is based on science and realistically shows the spread of viral infections amongst the human population. In the game, the player is supposed to infect all humans before the cure is available. It is so successful in teaching about epidemiology, that it has been endorsed by the CDC. During the COVID-19 outbreak, it has reached the top of charts on the Apple Store. According to its developers, similar peaks in popularity have accompanied the Ebola outbreak in Africa in 2014-2016.

Categories
Digital Health MedTech Pharma Marketing

MoovCare – a clinically proven mHealth app in lung cancer treatment

MoovCare, a mHealth app to help patients with lung cancer presented at the annual American Society of Clinical Oncology (ASCO) meeting.

moovcare on tablet
MoovCare tablet interface

An Israeli company Sivan Innovation and the Cancer Institute of Western France are behind MoovCare – a mHealth application presented at the ASCO annual meeting in Chicago.


MoovCare claims to be the first application of its kind. It allows controlling lung cancer treatment based on reports on outcomes submitted by patients via web or mobile-connected devices. It enables the early identification of relapse or complications requiring rapid and specific care.
According to the clinical data from the III phase randomized study on 300 patients as presented at ASCO, this mHealth application provides direct benefit in terms of prolonged survival.


The main advantage of using the app in lung cancer therapy is early detection of relapse, which is symptomatic and typical for lung cancer. This allows optimal treatment and in turn increases of survival rate among patients.


An additional effect of the app is improved treatment compliance (observance of scheduled visits, lower number of inopportune phone calls, lower number of imaging). All this at a comparatively very low cost of less than 10 000 USD versus 265 000 USD per one CT-scan for Lung Cancer.

How does MoovCare work?

MoovCare mHealth app lung cancer Mode of Action – Sivan Innovation
MoovCare mHealth app lung cancer Mode of Action – Sivan Innovation


MoovCare is being “prescribed” to ambulatory patients. Patients are asked to fill in the web-based form each week, self-assessing 12 clinical parameters and having a free text field to enter any information they consider of importance. Data are securely passed and processed within the application. An algorithm behind MoovCare analyses the data provided and in case of any anomaly detected reports it to the oncologist and hospital dashboard. Based on the alert from Moovcare healthcare providers can contact patients and take any necessary action.
Company and research behind MoovCare.


MoovCare is a product of Sivan Innovation. Founded in 2014 in Jerusalem by Daniel Israel, Sivan Innovation is an Israeli E-health start-up and R&D company.

The research presented at ASCO has been conducted by Dr. Fabrice Denis at the Cancer Institute of Western France


MoovCare is a perfect example of how digital innovation, mHealth, and IoT trends are positively impacting healthcare and patient outcomes. We look forward to seeing more of such innovations coming not only from startups such as Sivan innovation but also from Big Pharma companies with their vast R&D resources.