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The next generation of data-driven healthcare is here

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The next generation of data-driven healthcare is here

In the past 60 years, the life expectancy of the average newborn has increased by nearly 20 years — from 52.5 to 72, as of 2018. We’ve seen an incredible wave of technological innovation in this time: The introduction of the internet, medical breakthroughs and an enhanced understanding of public health initiatives have transformed the course of human life. And with new technologies like blockchain and artificial intelligence now taking the stage, we know that even more radical transformation is coming. These disruptive technologies are paving the way for both longer and healthier lifespans.

To show you just how much healthcare has advanced thanks to these technologies, I want to highlight a case study of two unique companies, Insilico Medicine and Longenesis. Together, they show how the development of AI for medical care has grown in tandem with the advent of blockchain healthcare applications.

Data-driven healthcare

In 2014, longevity innovator Alex Zhavoronkov and their company, Insilico Medicine, reached out to me. The company was based on a simple but radical premise: using AI to accelerate drug discovery and development. At the time, the use of AI was still nascent, both in public awareness and its applications to medicine. But in the seven years since I invested in this company, it has used AI to transform research and development in the therapeutics sector completely. Its rapid discovery and development of new therapies result from the incredible amount of data they process searching for the next best cure. Rich in source and scope, this data comes from the genomic and proteomic sequences of actual healthcare patients. Through dozens of new drug candidates, they have shown tremendous potential in using AI for data-driven healthcare.

However, the groundbreaking progress made by Insilico was not without obstacles. Working with massive amounts of data presented unique challenges regarding centralization and security. Data in healthcare tends to be scattered and siloed. Each doctor, medical center and hospital maintains its silo and, due to privacy regulations, data is typically only shared when necessary for patient care. Having access to synthesized patient data was critical for Insilico’s AI algorithms to be successful, and it just wasn’t available.

Privacy and blockchain tech

In looking for solutions to the security and centralization concerns associated with this type of data, Alex and the team at Insilico Medicine soon discovered blockchain and distributed ledger technology. The immutability of entries on the blockchain and the ability to have multiple decentralized nodes contributing data to a shared ledger offered a solution to the complex problems associated with patient data. This technology was what they had been looking for, but they needed a partner to build it with them. Insilico formed a joint venture with leading European blockchain company Bitfury (now one of the largest emerging technology companies on the continent) and launched a new company named Longenesis. Longenesis’ aim was clear: to create a blockchain healthcare ecosystem that considered the sensitive requirements of health data and the application needs of biotech research.

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

Longenesis designed a blockchain-based environment for stakeholders across the healthcare/biotech industry, including patient organizations, biomedical research groups, and research partners and sponsors. The beauty of Longenesis’ solution is that there is always a record of consent. When patients agree to share their data for any purpose, there is immutable proof of their permission.

Its first product, Curator, is used by hospitals and other care organizations to safely and compliantly present the data available for researchers without compromising patient privacy. This function empowers researchers to review datasets without endangering the security of patient information. When a researcher or company is interested in using the data, Longenesis’ second product Engage provides it. Engage also allows hospitals and researchers to quickly onboard patients into new medical trials and research, recording ongoing patient consent. Regardless of whether AI is being used to analyze new data from a medical trial or “old” data from medical records, patients know about it and can decide to consent at their convenience. Longenesis has deployed this solution in state hospitals, government biobanks and more. Its work empowers AI companies such as Insilico Medicine to access vast amounts of data that can be used for artificial intelligence analysis, leading to even more treatment and drug discovery.

Data, blockchain and human longevity

While I’ve highlighted two companies here, there are thousands of outstanding startups, research institutions and physicians working tirelessly to improve the human lifespan. They could all benefit from blockchain-unlocked data and the analytical power of artificial intelligence.

The average hospital generates 760 terabytes of data annually, yet 80% of this valuable data is unstructured and unavailable to researchers. It needs to remain secure, and patients need to provide ongoing consent for its use. This disconnect is holding back progress across every aspect of medicine. The pairing of blockchain and AI can unlock this data for analysis, facilitate patient consent, track usage of clinical data and more.

In conclusion

Without blockchain, artificial intelligence lacks the ethically sourced and protected biomedical data it needs to find new solutions. Without artificial intelligence, the vast amounts of data protected by blockchain remain secure but unusable for research. Progress happens when these innovations work together, just as critical public health initiatives of past decades succeeded thanks to the advent of the World Wide Web. Then, our goal must be to bring these technologies more fully to market so longevity-focused care can be accessible to all.

The views, thoughts and opinions expressed here are the author’s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.

Garri Zmudze is a managing partner at LongeVC, a Switzerland and Cyprus-based venture capital firm accelerating innovative startups in biotech and longevity. He is a seasoned business expert and angel investor with several successful exits across biotech and tech companies. He is a long-time supporter and investor in biotech companies, including Insilico Medicine, Deep Longevity and Basepaws.

Author’s note: Both entities, Insilico Medicine and Longenesis, are portfolio companies of our longevity-focused VC firm, LongeVC.

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Bitcoin (BTC) Drops Below $60,000 But Correction Could Be Short-Lived

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Bitcoin (BTC) Drops Below $60,000 But Correction Could Be Short-Lived

Bitcoin (BTC) is likely in the middle of a short-term correction that has taken it below $60,000. Following this correction, a rebound in price is likely. 

BTC decreased considerably on Oct 26 and created a bearish engulfing candlestick.  This is a type of bearish candlestick in which the entire upward movement from the previous day is negated with an equal or larger drop the next day.

The main support area is found between $52,400 and $53,350. This range is made up of a short (white) and a long-term (black) Fib retracement level and a horizontal support area. There is also a minor support level at $56,550, created by only the short-term Fib level. 

Technical indicators support the continuation of the decrease.

The MACD, which is created by short and long-term moving averages (MA) is falling. Currently, the MACD is still positive, indicating that the short-term trend is moving faster than the long-term trend. However, it’s decreasing, signaling that the MA is decelerating.

The RSI, which is a momentum indicator is also decreasing. It’s above 50, signaling that momentum is still bullish, but the decreasing RSI indicates that momentum is also losing strength.

BTC gets rejected

The six-hour chart shows that BTC is moving underneath a descending resistance line since the Oct 20 all-time high price. 

More recently, the line rejected the price on Oct 25 (red icon), initiating the current downward move. The rejection also coincided with the $63,650 resistance area.

As long as the descending line remains unbroken, the short-term trend is considered bearish.

Wave count

The short-term wave count shows that BTC is likely in an A-B-C correction, which is potentially contained inside a parallel channel. For a long-term wave count analysis, click here.

Currently, BTC is in the C wave, which is the final portion of the correction and after which a rebound in price is likely.

There is considerable support near $56,500 and a drop to those levels would give waves A:C an exact 1:1 ratio. Furthermore, it would coincide with the support line of the channel. In addition to this, the area coincides with the short-term Fib support outlined in the first section. 

For BeInCrypto’s previous Bitcoin (BTC) analysis, click here.

Disclaimer

All the information contained on our website is published in good faith and for general information purposes only. Any action the reader takes upon the information found on our website is strictly at their own risk.

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Bitcoin drops $1K in five minutes in fresh dip below $60K

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Bitcoin drops $1K in five minutes in fresh dip below $60K

Ethereum slips below $4,000 as an anticipated correction suddenly takes hold of crypto markets.

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Bitcoin drops K in five minutes in fresh dip below K

Bitcoin (BTC) fell sharply on Oct. 27 as $60,000 finally gave way to two-week lows.

BTC/USD 1-hour candle chart (Bitstamp). Source: TradingView

Bitcoin bites into major buy wal

Data from Cointelegraph Markets Pro and TradingView showed BTC/USD nearing $58,000 at the time of writing, hitting its lowest since Oct. 15.

The move follows multiple retests of $60,000, with Bitcoin now taking liquidity in a large support wall with $57,000 as its base.

Analysts, as Cointelegraph reported, were already prepared, with some data suggesting a deeper dive to a low as $50,000 would still preserve the overall bull trend.

#Bitcoin couldn’t break through $63.6K and tests the other side of the range.

Might be dropping another time if $61.6K can’t break and then I’m looking at $58K next. pic.twitter.com/HIsvhE5ZlZ

— Michaël van de Poppe (@CryptoMichNL) October 27, 2021

Commenting on the situation meanwhile, Charles Edwards, CEO of investment firm Capriole, blamed leveraged traders for sparking the volatility.

“Basically Bitcoin looks incredible here on most metrics, but leverage traders have gone out of control,” he argued.

“We won’t get sustainable price rises until that changes.”

Data showed $500 million being liquidated in a single hour across cryptocurrency.

Altcoins lose big on trend reversal

Ether (ETH) led a bleed from altcoins Wednesday, falling below its hard-won $4,000 support line.

ETH/USD 1-hour candle chart (Bitstamp). Source: TradingView

Related: Expanding ecosystem and $1.86B futures open interest back Solana’s $250 target

Several of the top ten cryptocurrencies by market cap saw daily losses of over 15%, including Dogecoin (DOGE) and Solana (SOL).

Shiba Inu (SHIB) was still largely in the green, up 23% on the day despite the market turnaround and continuing a wild month.

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Redditors cheer as GameStop assembles team of NFT experts

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Redditors cheer as GameStop assembles team of NFT experts

“Future creators won’t just build games but also the components, characters, and equipment. Blockchains will power the commerce underneath,” Gamestop’s Head of Web3 Gaming job listing reads.

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Redditors cheer as GameStop assembles team of NFT experts

GameStop (GME) is assembling a team of blockchain and NFT experts to work on the firm’s upcoming NFT platform.

The firm’s GME stock is a cult favorite amongst retail traders as a result of the r/wallstreetbets and Robinhood saga earlier this year. On Reddit the r/Superstonk community boasts 659,000 members, and is dedicated to hosting business and stock discussions related to GME.

A post about GameStop’s job listings yesterday has received more than 10,000 upvotes at the time of writing, with many members posting bullish sentiments over GameStop’s latest move.

GameStop quietly unveiled a bare-bones website for its NFT marketplace in May. The site currently features a Nintendo Gameboy-style gaming console with an Ethereum logo, along with a message calling out for recruits to work on the platform.

Since then the firm has held its cards close to its chest, however on Oct. 25 it listed a total of eight jobs for crypto-friendly candidates, including three roles for NFT experienced software engineers, three jobs for product marketers and with two roles focused on Web3 based gaming.

One of the listings for the Head of Web3 Gaming job says that GameStop is looking for someone with experience with “Ethereum, NFTs and blockchain-based gaming platforms.” The firm has also hinted that there are some plans related to the Metaverse in the works.

“GameStop is looking for a unique individual who can help accelerate the future of gaming and commerce. In this future, games are the places to go, and play is driven by the things you bring. Future creators won’t just build games but also the components, characters, and equipment. Blockchains will power the commerce underneath,” the job listing reads.

Web3, billions in revenue, NFTs, Ethereum Layer 2. probably nothing. $GME pic.twitter.com/s3PiaqtWQl

— Chris SilvΞstro (@vestro) October 26, 2021

Related: Reddit may be preparing to launch its own NFT platform

Members of the r/Superstonk community were singing the firm’s praises yesterday, with “Triaspia2” calling it one of the “best job listings” they had seen, while pledging to buy more GME as it was a “bullish signal.”

Redditor “Donnybiceps” was equally bullish, noting that:

“NFTs are the future and people who haven’t gotten on board the GME train while knowing all these clues then you should be blaming yourself for not thinking this through.”

GME has had a volatile performance in October, going as low as $166 before bouncing to around $187 and subsequently crashing down again. However, according to data from Tradingview, the price of GME has still gained 2.8% this month to sit at $178 at the time of writing. The year-to-date gain for GME is a whopping 844%.

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