Revolutionizing Multi-Agent Interaction

ASI ONE excels at facilitating simultaneous communication with diverse agents. Users can engage with one agent while others operate in the background, ensuring efficiency and flexibility. During the demo, Fetch.ai showcased a scenario where a user interacted with a Brain MRI Segmentation Agent and a Weather Agent concurrently, demonstrating ASI ONE’s robust multitasking capabilities.

The process starts with selecting an agent. In the demonstration, the user searched for a Brain MRI Segmentation Agent and identified a suitable one from QBio.ai. ASI ONE’s intuitive interface simplifies the discovery and deployment of specialized agents, making it easy to align tools with specific research needs.

Seamless Agent Communication

Once selected, the user interacts with the Brain MRI Segmentation Agent by uploading data and submitting queries. The communication flows through a user-friendly interface, enabling smooth data exchange and result delivery. Powered by a machine-learning model trained on Brain MRI images, the agent automates complex segmentation tasks with high accuracy.

ASI ONE’s ability to manage multiple tasks simultaneously sets it apart. While the Brain MRI segmentation runs in the background, users can initiate additional queries with other agents. This feature is particularly valuable for NOMIX, as it supports their longevity research by allowing continuous progress across multiple workflows.

The integration of machine-learning models into ASI ONE’s agents drives automation and precision. These models handle intricate processes like Brain MRI segmentation, freeing researchers to focus on analysis and innovation. For NOMIX, this capability enhances the efficiency of our longevity-focused studies.

Advancing Longevity Research with ASI ONE

ASI ONE’s multi-agent communication empowers NOMIX to tackle complex research challenges. By enabling seamless interaction with specialized agents, ASI ONE ensures that tasks like medical imaging analysis are processed efficiently while researchers pursue additional objectives. This synergy aligns perfectly with NOMIX’s mission to advance longevity science.

Conclusion

The demonstration of ASI ONE highlights its transformative potential for longevity research-driven organizations like NOMIX. As a Fetch.ai service, ASI ONE combines cutting-edge multi-agent communication with machine-learning prowess, offering a powerful platform for longevity research and beyond. With partnerships like the one between Fetch.ai and NOMIX, ASI ONE is poised to accelerate innovation and unlock new frontiers in science.

The post Empowering Multi-Agent Communication for Advanced Longevity Research with ASI ONE appeared first on NOMIX.

As the Director of Health Sector Innovation in Abu Dhabi, Dr. Richter is part of the team building the Abu Dhabi Life Sciences and Health Tech Innovation Ecosystem in partnership with the Abu Dhabi Government, Life Science corporations, and HUB71.

Working at the C-level as a surgeon and researcher, management consultant, and healthcare manager in Europe and for the Abu Dhabi Government, Dirk Richter has more than 25 years of international experience across all fields of healthcare and life sciences.

Being advised by Dirk Richter, NOMIX will benefit in many ways: Firstly, from Dirk’s overall experience in building and managing health and life sciences projects. Secondly, from his expertise in the United Arab Emirates health sector, specifically regarding the Emirati Genome Programme. Last, but not least, NOMIX benefits from Dirk’s vast experience in health research, healthcare regulations, and drug approval processes.

The NOMIX team wishes Dirk Richter a very warm welcome and is looking forward to working with him!

The post Dr. Dirk Richter Joins NOMIX As Advisor appeared first on NOMIX.

When Harvard University research biologist and epigeneticist David Sinclair titled his 2019 debut book and subsequent bestseller Lifespan – Why We Age, and Why We Don’t Have To, he probably calculated a contradiction to that effect. His research, however, like that of most scientists in the field, is primarily aimed at keeping the human organism healthy for as long as possible. A lifestyle influenced by many epigenetic factors strengthens the body’s immune system, thereby reducing the risk of disease and slowing down the aging process. This epigenetic influence subsequently leads to a higher life expectancy, which, however, is the result of a lifestyle optimized by research findings, but not the primary goal. Man’s highest good is his health – and maintaining this for as long as possible is the endeavor of longevity research.

The Longevity Trend

The term longevity has been on everyone’s lips for a few years now: alternating with quantum computing and AI, longevity takes the lion’s share in the technology and innovation categories of the media. Billionaires are founding and promoting start-ups and research centers, pharmaceutical companies are opening longevity divisions, doctors’ surgeries are transforming into “well-aging” centers and an already unmanageable variety of longevity supplements are wooing the inclined consumer. There is no shortage of longevity offers – only the selection of the right product, the best possible treatment or the most sensible lifestyle change presents the individual with a challenge. People interested in longevity who want to positively influence their healthspan sooner rather than later must currently either dive deep into the relevant research reading and become longevity experts, or follow general advice from the media or their circle of friends.

The Missing Data Problem

What is missing is individualization, i.e. personalized advice on lifestyle adjustments, taking supplements, or more advanced longevity applications, such as blood plasma cleansing or reprogramming of body cells. To achieve such individualization, it is necessary to collect and process a large amount of health data – provided by as many genetically and epigenetically different people as possible, including the effects of the epigenetic lifestyle adjustments to be studied. Without this data, no sufficiently precise statements can be made about the effectiveness of longevity products, treatments, and lifestyles. Today, such data are only sporadically available, measured in small non-representative groups of humans, or – in larger numbers – animals (mostly mice). As long as this data gap exists, only cautious and general statements can be made about the effectiveness of longevity approaches, but by no means are precise statements tailored to the individual.

Longevity – Individual and Personal

The data described must therefore first be procured. Procurement takes a long time and is typically very time-consuming and expensive. With NOMIX, we are facing exactly this Herculean task: We are convinced that we have developed a well-suited method to obtain and analyze data on the current health conditions of as many different people as possible and their changes depending on longevity measures. The data is collected via our BIOCOACH app and supplemented via additional measures such as blood samples, etc. Interested BIOCOACH users take part in regularly conducted studies and tests in which longevity measures and their effects on the participants are collected. All data flows into CODIS, the collective digital immune system. Here, the data is analyzed on the basis of current longevity research with the help of artificial intelligence. The results are presented to the users of the BIOCLOCK app as individualized longevity advice. The BIOCOACH offers each user her personal longevity lifestyle and accompanies her in optimizing her longevity strategy.

AI-supported Longevity Strategies

The CODIS database is built up and delivers a higher evaluation quality with increasing data volume with regard to the resulting longevity factors. At the start of the BIOCOACH app, therefore, only general advice can be given – the BIOCOACH does not yet operate at an individualized level. The more people use the BIOCOACH App and the more actively the individual users participate in studies and tests, the faster this level will be reached. In addition, many users can also significantly improve their lifestyles with more general advice, so that the NOMIX team assumes individually perceptible successes of BIOCOACH App use for the individual right from the start.

The BIOCOACH app will be launched in 2024 – interested users can register on our NOMIX website to participate in the app test in a closed user group. We look forward to seeing you!

The post The Great Longevity Misconception appeared first on NOMIX.

Simply, humans are not wholly rational agents… and, arguably, it’s what makes us human! So, academia has now moved past simply reporting on what the best choices for us are- and instead is now focusing on how best to promote these findings to a public that is fatigued of such health warnings. In this blog post we’ll be examining some of the psychology behind health messaging and providing you with some actionable tools on how to make your own healthier choices.

The Psychology Behind Health Messaging

Before we can examine the psychology of health messaging in general, we first need to explore what ‘loss-based’ and ‘gain-based’ messaging is. This terminology has been noted upon by Brian Wansink and Lizzy Pope, two Cornell and Vermont University researchers that have studied the nuances of official public health communications.

Loss-based messaging is the medium by which the public are informed that they are harming themselves in the long-run by not meeting the recommendations of health studies (such as quitting smoking or drinking less). In the past, public health messaging has focused around loss-based messaging- the print of ‘Smoking Harms You And Those Around You’ on cigarette packets is one such example.

On the other hand, gain-based messaging is the packaging of the act of making healthier choices into a value-add proposition to someone’s life. For example, instead of scaring an individual into quitting smoking through negativity, a gain-based message could state something along the lines of ‘For every pack of cigarettes you don’t smoke, you will live a few days longer’. The efficacy of this route has, in part, been illustrated over recent years through the proliferation of vaping as opposed to smoking. Vaping does still carry significantly negative health implications- but it has been marketed to the population of the UK as being ‘95% better for you than smoking’ (a claim backed by the National Health Service).

Wansink and Pope, in their study, have remarked that public health officials and experts prefer loss-based health messages- while a majority of the public responds markedly better to gain-based messages. This ties into basic human psychology. A study into the American education system found that students who felt threatened by the messages perpetuated by their teachers around failing were more likely to fail than students whose teachers did not believe in such scare tactics. Simply, if we tell someone who is already struggling (be this to do with weight, schooling or almost anything else) that they are failing then they will be considerably more likely to continue failing. [1]

A Little Nudge

As a result of the research mentioned above, some countries and companies have begun efforts to ‘nudge’ citizens in a healthier direction. The aim of this is to enable but educate citizens to make informed choices, the benefits of which are highlighted over the negatives of their current behaviour. These nudge efforts can also incentivise the public through a variety of means that stretch far beyond promising health further down the line.

The aim of nudging the public to make healthier choices is centered around the idea that we all already know what to do- we simply don’t do it.

This can be because we’re demotivated because of loss-based messaging or because we just don’t feel like making the healthy choice at that time. The latter is fine, but the former needs to be addressed. Because of this, a key tenet of ‘nudging’ citizens to make a healthier choice is based around ‘enabling but educating’ and presenting choices wrapped in gain-based messaging. This allows people the freedom to make their own choices about choices that may affect their health but also empowers them to make an informed decision, free of psychological stress.

As more and more governments begin to realise that scare-tactics do not work- we’ll be more likely to see health initiatives that reward/cajole rather than scold the public. Further, by applying gain-based psychology to our own choices, we can nudge ourselves toward healthier habits too.

Two Tools to Help Make Healthier Choices

The commonly cited, health official approved, four steps to living healthily are (generally);

• Not smoking.
• Drinking less aclohol, well within medically recommended limits.
• Being physically active for at least 30 minutes a day.
• Eating decent portions (5 servings) of fruit and vegetables a day.

Now, most of the population will probably struggle to meet the above, let alone exceed it (where applicable). However, as mentioned above, we can strive to meet and exceed these healthy goals through a combination of switching our perspective and putting together a plan to meet them.

Through switching our perspective, we can move to a gain-based lifestyle which will provide us with a more positive relationship with our health and improving it. Look at each health recommendation and, if you aren’t meeting it, instead of feeling bad about the potential adverse effects on your health and you not meeting these goals, instead visualise that each positive health decision you make will enable you to live a longer life with a longer period free of any major health conditions.

When you couple this with a long-term plan to build healthy habits into your life- by layering each new routine or habit over a protracted period- you’ll be much more likely to enjoy the benefits of healthy living and stick with them. I’m sure we’ve all been inspired to get healthy at various times in our lives… and I’m sure we’ve all took on too much at once and suffered some whiplash at how hard all of these new routines are to maintain and eventually abandoned the entire idea. Instead, take a more measured approach, look at your choices in a more positive light and celebrate your progress.

In Closing

In the near future we’ll see smarter campaigns based around public health- campaigns that don’t try to shame or scare us into making healthier choices. However, the academic research into the psychology of making healthy choices hasn’t yet filtered into public policy. Instead, in the interim, we can use the psychology of ‘gain-based’ messaging ourselves to affect our own behaviour in the day to day. By striving toward a more positive relationship with our health and making healthy choices we can make progress toward our health and longevity goals without seeing these decisions in a negative light or ignoring them entirely. This, combined with careful and deliberate strategizing how we can gradually build good habits into our daily lives will ensure that we don’t start a health kick and then gradually kick it away.

NOMIX will soon announce some exciting news that will definitely help keep you on top of your health goals- and allow you to act with longevity in mind.

Make sure to watch this space! To be one of the first to hear, make sure to check this blog and follow NOMIX on Twitter, LinkedIn and Telegram.

[1] Kang, O’Donnell, Strecher, Falk. Dispositional Mindfullness Predicts Adaptive Affective Responses to Health Messages and Increased Exercise Motivation, 2016.

The post The Psychology Behind Health Messaging appeared first on NOMIX.

Nicklas Brendborg is a Ph.D. student of molecular biology at the University of Copenhagen and is one of the most promising research talents in the field. He was featured young scientist at the Novo Nordisk International Talent Program and was awarded the Novo Scholarship.

In his actual bestseller Jellyfish Age Backwards, Nicklas describes nature’s secrets to Longevity, how plants and animals have already unlocked the secrets to immortality, and the lessons they hold for us humans. Although modern humans live longer today than ever before, our understanding of what is possible is limited. Nicklas uses Jellyfish and other animals to reveal the key to immortality which might not be as impossible as we all have thought until yesterday.

Even if you can’t follow Ethereum founder Vitalik Buterin who envisions a 75% chance to see the year 3,000 for someone who is born today, or you happen not to be a 500-year-old Greenland shark, reading the NOMIX blog you probably want to live long while staying young and healthy! Then, you most likely will love Jellyfish Age Backwards, and the fact that Nicklas has joined our longevity team, even more!

Now, let’s celebrate the fantastic success of Nicklas’ book for a moment and then start working on our healthspans!

The post Molecular Biologist Nicklas Brendborg Joins NOMIX As Advisor appeared first on NOMIX.

In the same way as a biological immune system, the Collective Digital Immune System (CODIS) adapts over time, by being a dynamic decentralized data base for observing the microbial landscape, detecting potential threats, and neutralizing them before they spread beyond control. 

This simple strategy – effectively tested over millions of years – can now start to be replicated with the combination of distributed sensor sequencing and applied tools of computation and analysis to the capture and interpretation of biological data (i.e. bioinformatics, or: biomarkers) where a network of autonomous agents acting as sequencing devices serves a real-time stream of microbial personal omics to a collective network for analysis.

Driven by a shift from single-reference genomics to more quantitative, population-wide analyses of personal omics, biology has moved beyond developing a qualitative understanding of cellular and evolutionary processes towards base-pair resolution and predictive models of biological systems and disease. A combination of improved biotechnology, machine learning algorithms, statistical models, and autonomous agents has been the key driver of this development. 

The integration of other technological advances in the fields of decentralization and cryptography provides scientists and entrepreneurs with the tools for transforming a hitherto conceptual approach into a practical application – the Collective Digital Immune System for Longevity.

At NOMIX, we have been working on this intersection of biotechnology and computer technology and are looking forward to presenting the first version of CODIS in 2022.

State-of-the-Art Web3 Technologies

NOMIX uses decentralized artificial intelligence to build a framework for applications to search, discover, and computation on personal omics and biomarker data. 

By leveraging machine learning, advanced cryptography, and autonomous agents based on a Self-Sovereign Identity (SSI) infrastructure, our blockchain-mediated collective learning system enables individuals and multiple stakeholders in the health sector to build a shared machine learning model without needing to rely on a central authority, and without revealing any datasets to other stakeholders. 

The NOMIX team consists of experts in the fields of AI/ML, blockchain technologies, cryptography, bioinformatics, biotechnology, and company building. Our work is based on the core principles of eco-responsibility, sustainability, transparency, and regulatory compliance.

Join the longevity conversation on our Twitter, LinkedIn, and Telegram channels!

The post Longevity Science That Works For You appeared first on NOMIX.

Creating An Incentive Scheme For Longevity

The respective diagnostic procedure for cardiovascular disease isn’t much more appealing. If the patient is lucky, she’ll have a chest X-Ray, CT, MRI, echocardiogram, or ECG in the hospital. But she might require a cardiac catheter, i.e. a tube is inserted into an artery in her groin and navigated up toward her heart, in order to flush in a dye that allows X-Ray technicians to get a better look at her heart valves and arteries. This again will cost several thousand Euros.

Unfortunately, for many other common causes of death like stroke and Alzheimer’s disease, there is simply no effective means of accurate early diagnosis. But a range of new diagnostic methods is beginning to challenge these invasive, expensive, or even non-existent methods. When they are fully developed to scale, these methods will be highly effective and highly affordable.

DIY Health Diagnostics

All the data you need to achieve your optimal healthspan is already inside us – in our blood, in our DNA, and in our habits. Unlike our DNA, which reveals our body’s predispositions, but doesn’t change, our blood is dynamic: it reveals how our body changes over time, in response to our diet, exercise, or lifestyle. Your daily habits reveal how you live. 

Most of us have a digital thermometer, a (body-fat) scale, or a blood pressure gauge at home – those of us already own some basic household diagnostic technology. You are probably familiar with so-called wearables; i.e. wearable health devices like chest strap heart monitors for jogging enthusiasts, or smartwatches, s.a. Apple Watch, or Fitbit, or the Oura ring, which monitors your heart rate, sleep quality, and other personal health metrics. There are home blood tests that monitor your cholesterol and blood glucose, and even home tests that help diagnose STDs, allergies, and food intolerances. 

Numerous apps leverage your phone’s camera, gyroscope, GPS, and other sensors to provide you with real-time monitoring of relevant organism-related data. Do-It-Yourself DIY health diagnostic devices like these are becoming increasingly wearable, portable, even implantable, ingestible, and – most relevant affordable for individuals. Similar to the development in computer hardware, the latest wearables are equipped with much more computing power than many giant medical devices in hospitals. Besides their general computing performance, they are also adding more and more functionality: Apple Watch now includes blood oxygen level readings and an electrocardiogram (ECG) monitoring function, to help detect atrial fibrillation, the most common heart rhythm disorder. 

DIY health diagnostic devices are – like small portable computers in the 1990s – on their way to replace incumbent medical technology that requires trained experts and maintenance. In 2022, companies like Apple will launch their Augmented Reality (AR) devices that might be transformed into de facto Brain-Computer Interfaces (BCI), running a real-time computation on brain signals. 

Another kind of wearables that is available in basic versions is the so-called ‚smart clothing‘. More elaborate products with improved functionality, s.a. artificial skin should become available soon.

Providing A Continuous, Personalised, Realtime Data Flow

Working with data collected by DIY health diagnostic devices will prove to be the ultimate way for health diagnostics in general. As soon as the collected data are of the same or similar quality as data collected with medical technology devices in hospitals or medical offices, the health sector, and overall individuals’ health, will experience a paradigm shift: having personalized health data at hand, real-time, allows for much better early diagnosis. 

And what‘s good for early diagnosis adds perfectly to an individual‘s personal omics, i.e. the holistic molecular, physiological, and environmental profile over time. The analysis of a combination of our blood, DNA, and habitual data is the basis to achieve longevity. Bridging genome and dynamic physiology, detecting diseases at an early stage, and uncovering lifestyles and environmental patterns associated with a (potential / future) disease, is the goal of the NOMIX team. 

Validated personal omics and biomarkers of aging would allow for testing medical interventions to extend lifespan (and healthspan because changes in the biomarkers would be observable throughout the lifespan of the organism. The uses for personal omics and biomarkers of aging are ubiquitous and identifying a physical parameter of biological aging would allow humans to determine our true age, mortality, and morbidity. 

Since the change in the physical biomarkers should be proportional to the change in the age of the species, humans will be able to dive into research on extending life- and health spans and finding timelines for the arise of potential genetic disease, based on an AI-powered system that allows for a continuous flow of real-life personal omics data.

By creating CODIS, the Collective Digital Immune System for Longevity, NOMIX will allow for an unprecedented leap in research and applied biotechnology, improving the overall quality of life, bringing us a much faster good deal closer to longevity, and a 3P-Medicine (preventive, personalized, precision) approach that is not limited to the more prosperous parts of the population.

Slow aging, optimize your healthspan: Join the NOMIX Longevity movement!

The post NOMIX Mission Statement appeared first on NOMIX.

The respective diagnostic procedure for cardiovascular disease isn’t much more appealing. If the patient is lucky, she’ll have a chest X-Ray, CT, MRI, echocardiogram, or ECG in the hospital. But she might require a cardiac catheter, i.e. a tube is inserted into an artery in her groin and navigated up toward her heart, in order to flush in a dye that allows X-Ray technicians to get a better look at her heart valves and arteries. This again will cost several thousand Euros.

Unfortunately, for many other common causes of death like stroke and Alzheimer’s disease, there is simply no effective means of accurate early diagnosis. But a range of new diagnostic methods is beginning to challenge these invasive, expensive, or even nonexistent methods. When they are fully developed to scale, these methods will be highly effective and highly affordable.

Enter Wearables

Most of us have a digital thermometer, a (body-fat) scale, or a blood pressure gauge at home – those of us already own some basic household diagnostic technology. You are probably familiar with so-called wearables; i.e. wearable health devices like chest strap heart monitors for jogging enthusiasts, or smartwatches, s.a. Apple Watch, or Fitbit, or the Oura ring, which monitor your heart rate, sleep quality, and other personal health metrics. There are home blood tests that monitor your cholesterol and blood glucose, and even home tests that help diagnose STDs, allergies, and food intolerances.

DIY Health Diagnostics

Numerous apps leverage your phone’s camera, gyroscope, GPS, and other sensors to provide you with real-time monitoring of relevant organism-related data. Do-It-Yourself DIY health diagnostic devices like these are becoming increasingly wearable, portable, even implantable, ingestible, and – most relevant affordable for individuals. Comparable to the development in computer hardware, the latest wearables are equipped with much more computing power than many giant medical devices in hospitals. Besides their general computiúng performance, they are also adding more and more functionality: Apple Watch now includes blood oxygen level readings and an electrocardiogram (ECG) monitoring function, to help detect atrial fibrillation, the most common heart rhythm disorder. DIY health diagnostic devices are – like small portable computers in the 1990s – on their way to replace incumbent medical technology that requires trained experts and maintenance.

A Continuous, Personalised, Realtime Data Flow

Working with data collected by DIY health diagnostic devices will prove as the ultimate way for health diagnostics, in general. As soon as the collected data are of the same or similar quality as data collected with medical technology devices in hospitals or medical offices, the health sector will experience a paradigm shift: having personalised health data at hand, real-time, allows for much better early diagnosis. 

And what‘s good for early diagnosis adds perfectly to an individual‘s personal omics, i.e. the holistic molecular, physiological, and environmental profile over time. Bridging genome and dynamic physiology, detecting diseases at an early stage, and uncovering lifestyles and environmental patterns associated with a (potential/future) disease, is the goal of the NOMIX team. Building the Collective Digital Immune System CODIS will allow for a 3P-Medicine approach that is not limited to the more prosperous parts of the population.

The post The Rise of DIY Health Diagnostics appeared first on NOMIX.

Here’s a summary of CODIS‘ technical components.

NOMIX Wallet

The NOMIX Wallet allows for search & discovery, computation on, and billing of CODIS data. It comes with a fully-fledged Self-Sovereign Identity (SSI) functionality: individual and professional users can verifiably authenticate themselves digitally while being in full control of their data. This unique privacy feature supported by Compute-to-Data by Ocean Protocol makes the NOMIX Wallet fully compliant with EU laws and regulations. Integrated EVERKEY and EVERID mechanisms by Datarella allow for secure management of all data and recovery of potentially lost data, s.a. keyphrases (e.g. passwords) even in completely decentralised storage. Additionally, users receive NOMIX Reward tokens in their NOMIX Wallet as rewards for their active participation in creating and maintaining CODIS. This mechanism helps to maintain sustainable overall market growth.

NOMIX Autonomous Agents

Individual and professional users can make use of a variety of Autonomous Agents, s.a. Autonomous Privacy Agents (AMA) that autonomously safeguard user data and other data privacy compliant with GDPR, or Autonomous Search Agents (ASA) that search and discover for personal omics data, adding them to CODIS and analyse them in their contexts. Autonomous Agents improve automated data services to a degree that users themselves get a better understanding of their personal omics and how to leverage this knowledge to improve individual and overall health conditions. Autonomous Agents are powered by Fetch.ai technology. In the long-term, Autonomous Agents will help to establish a privacy-preserving data environment, allowing users to pro-actively opt-in receiving personalized recommendations, rather than being targeted by unsolicited push services.

NOMIX Reward Tokens

Individual and professional NOMIX users can earn NOMIX ‘Nanos’ for a bunch of different CODIS data activities that can be converted into NOMIX Reward tokens, airdropped to the NOMIX Wallet. Activities include – among others – the provision of personal omics data, creating and sharing algorithms to compute on the CODIS data, etc. NOMIX tokens power the work of Autonomous Agents, i.e. they facilitate the communication between the NOMIX users; s.a. search & discovery, computation on, and billing of CODIS data. Autonomous Search and Privacy Agents will be fed with NOMIX tokens in order to allow for a privacy-preserving search and discovery, and contextualised way of safeguarding CODIS data. Some fraction of the NOMIX fees and Autonomous Agents fees are used to buy back NOMX and burn.

In short, the NOMIX reward token takes on the function of a lubricant for NOMIX: it rewards and incentivises individual and professional users to provide personal omics data to create and maintain CODIS, and, at the same time, provides a sustainable business model for CODIS-related services – based on a GDPR-compliant, privacy-preserving data management.

The post Technical Components of the Collective Digital Immune System CODIS appeared first on NOMIX.