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The next generation of data-driven healthcare is here



In the previous 60 years, the life expectancy of the typical new child has elevated by almost 20 years — from 52.5 to 72, as of 2018. We’ve seen an unbelievable wave of technological innovation on this time: The introduction of the web, medical breakthroughs and an enhanced understanding of public well being initiatives have reworked the course of human life. And with new applied sciences like blockchain and synthetic intelligence now taking the stage, we all know that much more radical transformation is coming. These disruptive applied sciences are paving the best way for each longer and more healthy lifespans.

To present you simply how a lot healthcare has superior thanks to those applied sciences, I need to spotlight a case examine of two distinctive corporations, Insilico Medicine and Longenesis. Together, they present how the event of AI for medical care has grown in tandem with the appearance of blockchain healthcare functions.

Data-driven healthcare

In 2014, longevity innovator Alex Zhavoronkov and their firm, Insilico Medicine, reached out to me. The firm was based mostly on a easy however radical premise: utilizing AI to speed up drug discovery and improvement. At the time, the use of AI was nonetheless nascent, each in public consciousness and its functions to drugs. But within the seven years since I invested on this firm, it has used AI to rework analysis and improvement within the therapeutics sector utterly. Its fast discovery and improvement of new therapies consequence from the unbelievable quantity of information they course of trying to find the next finest remedy. Rich in supply and scope, this information comes from the genomic and proteomic sequences of precise healthcare sufferers. Through dozens of new drug candidates, they’ve proven super potential in utilizing AI for data-driven healthcare.

However, the groundbreaking progress made by Insilico was not with out obstacles. Working with large quantities of information offered distinctive challenges relating to centralization and safety. Data in healthcare tends to be scattered and siloed. Each physician, medical heart and hospital maintains its silo and, as a result of privateness rules, information is sometimes solely shared when needed for affected person care. Having entry to synthesized affected person information was essential for Insilico’s AI algorithms to achieve success, and it simply wasn’t accessible.

Privacy and blockchain tech

In on the lookout for options to the safety and centralization considerations related to this kind of information, Alex and the staff at Insilico Medicine quickly found blockchain and distributed ledger know-how. The immutability of entries on the blockchain and the flexibility to have a number of decentralized nodes contributing information to a shared ledger provided an answer to the complicated issues related to affected person information. This know-how was what they’d been on the lookout for, however they wanted a associate to construct it with them. Insilico shaped a three way partnership with main European blockchain firm Bitfury (now one of the most important rising know-how corporations on the continent) and launched a brand new firm named Longenesis. Longenesis’ goal was clear: to create a blockchain healthcare ecosystem that thought of the delicate necessities of well being information and the applying wants of biotech analysis.

Related: Concerns around data privacy are rising, and blockchain is the solution

Longenesis designed a blockchain-based atmosphere for stakeholders throughout the healthcare/biotech business, together with affected person organizations, biomedical analysis teams, and analysis companions and sponsors. The magnificence of Longenesis’ answer is that there is all the time a file of consent. When sufferers comply with share their information for any function, there is immutable proof of their permission.

Its first product, Curator, is utilized by hospitals and different care organizations to soundly and compliantly current the information accessible for researchers with out compromising affected person privateness. This perform empowers researchers to assessment datasets with out endangering the safety of affected person information. When a researcher or firm is desirous about utilizing the information, Longenesis’ second product Engage supplies it. Engage additionally permits hospitals and researchers to rapidly onboard sufferers into new medical trials and analysis, recording ongoing affected person consent. Regardless of whether or not AI is getting used to research new information from a medical trial or “old” information from medical information, sufferers learn about it and might determine to consent at their comfort. Longenesis has deployed this answer in state hospitals, authorities biobanks and extra. Its work empowers AI corporations akin to Insilico Medicine to entry huge quantities of information that can be utilized for synthetic intelligence evaluation, resulting in much more therapy and drug discovery.

Data, blockchain and human longevity

While I’ve highlighted two corporations here, there are hundreds of excellent startups, analysis establishments and physicians working tirelessly to enhance the human lifespan. They might all profit from blockchain-unlocked information and the analytical energy of synthetic intelligence.

The common hospital generates 760 terabytes of information yearly, but 80% of this beneficial information is unstructured and unavailable to researchers. It wants to stay safe, and sufferers want to offer ongoing consent for its use. This disconnect is holding again progress throughout each side of drugs. The pairing of blockchain and AI can unlock this information for evaluation, facilitate affected person consent, monitor utilization of medical information and extra.

In conclusion

Without blockchain, synthetic intelligence lacks the ethically sourced and guarded biomedical information it wants to seek out new options. Without synthetic intelligence, the huge quantities of information protected by blockchain stay safe however unusable for analysis. Progress occurs when these improvements work collectively, simply as essential public well being initiatives of previous a long time succeeded because of the appearance of the World Wide Web. Then, our aim should be to convey these applied sciences extra absolutely to market so longevity-focused care may be accessible to all.

The views, ideas and opinions expressed here are the writer’s alone and don’t essentially replicate or characterize the views and opinions of Cointelegraph.

Garri Zmudze is a managing associate at LongeVC, a Switzerland and Cyprus-based enterprise capital agency accelerating revolutionary startups in biotech and longevity. He is a seasoned enterprise skilled and angel investor with a number of profitable exits throughout biotech and tech corporations. He is a long-time supporter and investor in biotech corporations, together with Insilico Medicine, Deep Longevity and Basepaws.

Author’s observe: Both entities, Insilico Medicine and Longenesis, are portfolio corporations of our longevity-focused VC agency, LongeVC.