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$1 billion science fund is looking for blockchain projects to extend human life

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Scientists are constantly looking for ways to extend human life, and blockchain may be the missing piece of the puzzle. The Longevity Science Foundation, a Swiss organization made up of a consortium of leading biotechnology founders, doctors, and longevity research institutes, plans to spend more than $1 billion over the next 10 years to find technology-based funding, with 120 years to reach human life.

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Scientists are constantly looking for ways to extend human life, and blockchain may be the missing piece of the puzzle. The Longevity Science Foundation, a Swiss organization made up of a consortium of leading biotechnology founders, doctors, and longevity research institutes, plans to spend more than $1 billion over the next 10 years to find technology-based funding, with 120 years to reach human life. The foundation aims to fund research, institutions and projects using blockchain and other next-generation technologies to discover new horizons in four important areas in this field, namely therapeutic tools, personalized medicine, artificial intelligence (AI), and predictive diagnostics. The communication stated that such a project could significantly change people's lives, even within five years.

Applying the theoretical concept of longevity to actual use is an important goal of the group. The foundation's goal is to translate scientific knowledge and technological advances into clinical treatments and solutions through donations. "By identifying and funding the most promising and innovative achievements, the Foundation seeks to address one of the most pressing issues in science and the application of radical inequalities in medicine to longevity in accessing and understanding longevity-centered medicine," reads the Message. message. Foundation employees, who can also donate cryptocurrency, are given voting rights to decide which projects are funded. The Visionary Council will select and evaluate potential candidates "in terms of technical stability and potential impact on human longevity".

Scientists are constantly looking for ways to extend human life, and blockchain may be the missing piece of the puzzle. The Longevity Science Foundation, a Swiss organization made up of a consortium of leading biotechnology founders, doctors, and longevity research institutes, plans to spend more than $1 billion over the next 10 years to find technology-based funding, with 120 years to reach human life. The foundation aims to fund research, institutions and projects using blockchain and other next-generation technologies to discover new horizons in four important areas in this field, namely therapeutic tools, personalized medicine, artificial intelligence (AI), and predictive diagnostics. The communication stated that such a project could significantly change people's lives, even within five years.

The members of the Foundation's Visionary Board are Dr. Alex Zhavoronkov, known for his work on longevity technologies. dr. Zhavoronkov is also a medical data market adviser for blockchain Longenesis, which launched a joint project with Bitfury Group to create a blockchain-based consent management system for the healthcare industry. "The Foundation has created a unique and transparent mechanism to stimulate early longevity research around the world and ensure broad public participation in decision-making," said Dr. Zhavoronkov. On how technology can support health research, Gary Zmudze, Managing Partner of LongeVC, said that when combined with AI, blockchain can unlock hundreds of terabytes of unstructured hospital data for further analysis.

Over the past 60 years, the average life expectancy of newborns has increased by almost 20 years - from 52.5 to 72 years in 2018. During that time, we have seen a tremendous wave of technological innovations: the advent of the Internet, breakthrough medical technologies, and better Understanding public health initiatives have changed the course of people's lives. And with new technologies like blockchain and artificial intelligence now on the scene, we know that a more radical transformation is imminent. This destructive technology is paving the way for a longer and healthier life. To show you how far healthcare has come thanks to this technology, I want to highlight the cases of two unique companies, Insilico Medicine and Long genesis. Together they show how the development of artificial intelligence for medical care has grown in parallel with the emergence of blockchain applications in the healthcare sector.

Data-driven healthcare

In 2014, longevity innovator Alex Zhavoronkov and his company Insilico Medicine contacted me. The company is based on a simple but radical premise: use AI to accelerate drug discovery and development. At that time, the use of AI was still emerging, both in public awareness and in its application in the medical field. But in the seven years since I invested in this company, AI has completely transformed research and development in the therapeutic sector. The rapid discovery and development of new therapies is a result of the tremendous amount of data they process to find the next best treatment. This data is resourceful and extensive, and comes from the genomic and proteomic sequences of real health care patients. With dozens of new drug candidates, they have demonstrated tremendous potential in using AI for data-driven healthcare.

However, Insilico's revolutionary progress was not without obstacles. Working with large amounts of data poses particular challenges in terms of centralization and security. Health data are usually scattered and collected. Each doctor, health center and hospital has its own silo and due to data protection regulations, data is usually only shared when it is necessary for patient care. The availability of synthesized patient data is critical to the success of Insilico's AI algorithm and is simply not available.

While looking for a solution to the security and centralization issues associated with this type of data, Alex and the team at Insilico Medicine immediately came across blockchain technology and a distributed ledger. The immutability of blockchain data sets and the ability to have multiple decentralized nodes to carry data into a public ledger offer solutions to complex patient data problems. This technology is what they are looking for, but they need a partner to build it with them. Insilico has formed a joint venture with leading European blockchain firm Bitfury (now one of the largest emerging technology companies on the continent) and founded a new company called Longenesis. The goal of Longenesis is clear: to create a blockchain health ecosystem that takes into account the sensitive requirements for health data and biotechnology research applications.

Longenesis designed a blockchain-based environment for healthcare/biotechnology stakeholders, including patient organizations, biomedical research teams, and research partners and sponsors. The nice thing about Longenesis's decisions is that there is always a statement of approval. When patients consent to their data being shared for any purpose, there is consistent evidence of their consent.

Its first product, Curator, is used by hospitals and other care facilities to provide researchers with available data securely and consistently without compromising patient confidentiality. This feature allows researchers to view records without compromising the security of patient data. If a researcher or company is interested in using that data, the second product of Longgenesis Engage offers it. Engage also allows hospitals and researchers to quickly engage patients in new medical studies and research by recording current patient consent. Whether AI is used to analyze new medical test data or "old" medical record data, patients know this and can choose consent if they find it convenient. Longenesis has implemented this solution in public hospitals, government biobanks and others. His work gives artificial intelligence companies like Insilico Medicine access to vast amounts of data that can be used to analyze artificial intelligence, leading to more treatments and drug discovery.

While I've highlighted two companies here, there are thousands of start-ups, research institutes, and stellar doctors working tirelessly to increase people's life expectancy. They can all benefit from the unlocked blockchain data and analytical power of artificial intelligence. The average hospital generates 760 terabytes of data per year, but 80% of that valuable data is unstructured and inaccessible to researchers. It must remain protected and the patient must permanently consent to its use. This disorder stops progress in all aspects of medicine. The combination of blockchain and AI can share that data for analysis, facilitate patient consent, track clinical data usage, and more.

Without blockchain for artificial intelligence, it lacks the ethical resources and protected biomedical data needed to find new solutions. Without artificial intelligence, large amounts of blockchain-protected data remain secure, but cannot be used for research. Progress comes when these innovations work together, just as important public health initiatives have succeeded in recent decades thanks to the advent of the World Wide Web. Hence our goal should be a more complete presentation of this technology to the market so that longevity-oriented treatments are available to all. Today's users are ready to trade their personal data, but have rapidly growing privacy concerns. In a survey conducted by confidentiality and digital securities firm Entrust, only 21% of respondents trusted established global brands to protect their personal information.

As the pressure on data confidentiality increases at Big Tech, these companies are starting to make significant investments in security solutions. Internet use has increased over the past year as more and more people are spending time at home due to the COVID-19 blockage. And consumer awareness of the use or misuse of data increases with use. For example, a recent study by Startpage, a privacy-focused search engine company, found that 62% of Americans are becoming more aware of how their data is used online, including targeting ads based on their browsing history and location. With concerns about the way companies collect information growing, new laws quickly emerged in the United States and abroad to address the issue. In 2016 the European Union issued the General Data Protection Regulation. Two years later, California signed the California Consumer Privacy Act, the most stable federal data protection law in history. Since then, Virginia has become the only other state in the United States to successfully pass comprehensive legislation, the Virginia Consumer Protection Act.

As more and more countries want to add consumer privacy laws, it is clear that consumer opinions and policies are changing. However, confidentiality and data protection are complex, and these toothless accounts can have the opposite effect - they give users confidence that their data is protected, when often it isn't. As 2020 kicks off, millions of people are changing their lives online – going to school remotely and attending near-fun classes – and revealing more and more personal information on the almost unregulated internet. Not only have people incorporated more data collection into their daily lives, but they have been led to believe that location tracking can have public health benefits.

Thanks to COVID-19, the depth of our lack of data sharing has been exposed. As we move forward, everyone needs to raise awareness and promote best practices regarding privacy and data protection. As consumer expectations continue to drive confidentiality, there is an opportunity to lead the group in this growing area, but with new entrants poised to enter the market, this opportunity will not last long. According to Crunchbase, investors pumped $7.8 billion into cybersecurity firms last year, up 22% from 2019 to 2020, and this year, after just six months, the number is even higher, surpassing $9 billion-Brand. For primary data ownership, let's take a look at the start-ups paving the way for the world after the pandemic. From erasing personal data to business-oriented software that helps companies comply with the law, these five start-ups are helping consumers regain control and ownership.

OpenMined is an open-source community and one of the company's goals is to make the world a safer place for data protection by lowering barriers to entry into private AI technology. Its mission is to create an accessible ecosystem of privacy education and tools, which is achieved by extending popular libraries such as PyTorch with advanced cryptographic techniques and multiple levels of privacy. The company claims that through its services, people and organizations can host private datasets so that data scientists can train or request data they "can't see". The data owner remains in full control - the data is never copied, moved, or shared. Anjuna provides hardware protection for data, applications and workloads, virtually eliminating data uncertainty. According to the team, this ensures that applications run regardless of their infrastructure, which simplifies operations while blocking data security. This software enables IT to "fetch and move" applications and data within hardware-encrypted confines of a secure enclave to protect them from malware, insiders, and malicious actors.

Fortanix protects sensitive data in public, hybrid, multi-cloud, and private cloud environments, so customers can work with even the most sensitive applications in any environment. Fortanix states that companies have the freedom to accelerate their digital transformation, aggregate and analyze personal data, and implement secure applications that protect the privacy of the people they care about. Duality Technologies responds to the rapidly growing need of regulated enterprises to collaborate on sensitive data. According to the company, the platform enables secure analysis of encrypted data and extracts insights from sensitive data without disclosing the data itself. Its technology protects valuable analytical models from exposing external employees during calculations. Duality SecurePlus states that the platform allows companies to use advanced cryptographic methods to actually collaborate with data while complying with privacy regulations and protecting their intellectual property.

Leap years build technology to solve these problems in a scalable, consistent, and sustainable way. According to the company, some of the world's largest companies can destroy data silos, form data partnerships, and accelerate machine learning adoption, all with mathematically proven data protection. In retrospect, the social changes we have seen over the past year are key points that highlight major flaws in the way the internet exists today, how privacy laws are created, and how much technology uses our data. During the pandemic, companies like Google, Facebook, Zoom, and Amazon made a lot of money. With the loss of privacy and consumer choice, Big Tech makes money from revenue from user data. Even though we use these things every day, this platform on Web 2.0 is a fertile environment for exploits, hacks, and break-ins.

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