Allive (ALV) IEO Price, Market Cap, Ratings & Reviews | Coinpare
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Allive
Healthcare

Allive

Healthcare

ALLIVE is an intelligent healthcare ecosystem based on blockchain technology, aimed at creating a decentralized platform for comprehensive and personalized healthcare.

Sale ended 16 May 2019
16 May 2019 - 16 May 2019
IEO Details
Hardcap:
1,800,000 USD
Token Price:
0.006 USD
Min/Max cap:
Min 100,000 ALV
Max 666,666 ALV
Total Supply:
6,000,000,000
IEO Supply:
300,000,000 (5%)
Accepting:
OKB
Whitelist/KYC:
Whitelist & KYC
Country:
Singapore
Token Details
Token Platform:
Ontology
Token Explorers:
Coin Details
Ticker:
ALV
Share This Page

Healthcare data has been widely collected by individuals and institutions in various formats, but its practicalapplications have been limited due to stagnant data ow and lack of data right enforcement. As blockchain and AItechnologies gradually become available, a great opportunity to extract health data value presented itself.

Healthcare is a promising market worldwide. The percentage of medical expenditure over GDP has been increasing, reaching approximately 16% in 2014 (USD 12 trillion).

Of the 12 trillion dollars, health management has made up an important part. For instance, China now has approximately 200 million chronic disease patients and 500 million potential ones, growing 9% annually. The Internet-based healthcare market is about CNY 15 billion, and the general healthcare market is estimate to be CNY 9.65 trillion. As people grow more aware of comprehensive health, they become more willing to invest in healthy lifestyle and routine health management. It is expected that the Internet-based healthcare market will reach CNY 33 billion by 2020, and the general health management market will be CNY 13 trillion.

Meanwhile, health data has been digitized rapidly along with the widespread of electronic devices. In developed countries, the number of consumers with electronic medical record (EMR) has nearly tripled in the past decade, reaching 16%; while in China, as a developing country, only 0.6% of hospitals has reached level 5 or higher in terms of medical data digitization - developing countries still has a long way to go.

However, the cost for comprehensive health data digitization is almost too high. Take China for an example, the average cost for establishing a level-5 EMR system is CNY 10 million; bringing all city-level hospitals to level 5 would cost CNY 20 billion; bringing 70% of all hospitals to level 5 would cost CNY 200 billion. Counting in 900,000+ community medical institutions would drive the cost to over CNY 500 billion.

In all age groups, the number of consumers with electronic health record in America has been doubled in the past 5 years, raising from 8% to 16%. Due to the complicated nature of the healthcare industry, only building a uni ed data system seems a logical answer. However, the industry faces the following challenges:

  • Health data ownership is di cult authenticate and enforce, causing data silos
    • While they should, most individuals have little control over their own health data since it is stored in medical institutions such as hospitals, far beyond their reach. Such centralized storage cannot provide enough data security and privacy for data right enforcement.
    • Insu ciently clari ed data ownership, compiled with the competing nature among medical institutions, seriously impedes inter-agency data ow, retarding the development of many life-saving research projects that require massive data input, such as genetic disease prevention and management.
    • On the other hand, health data vary in type and format, further increasing the di culty of data standardization. Even in developed countries, the actual application of medical data protocol such as FHIR is far insu cient for comprehensive health status evaluation to a practical degree.
  • Medical resources mismatch the demand
    • High concentration of quality medical resources has made major healthcare institutions overcrowded and smaller ones empty. Furthermore, the lack of reliable and convenient initial diagnosis creates a bottleneck where the majority of patients will have to go to a general physician or a major hospital for a trusted opinion before continuing on. Under such circumstances, hospitals are burdened with treatment and forced to overlook quality services.
    • Meanwhile, as the standard of living improves, healthcare demand has expanded from mere treatment of illness to comprehensive health management, which has become a clear direction in which the healthcare industry has to evolve.
  • Fragmented medical services create poor user experience
    • Medical services in various elds have continued to improve, but the lack of inter- agency linkage causes great waste of data. Inconvenient non-medical services (lengthy insurance processing, untraceable counterfeit drugs, etc.) also adversely a ect user experience. The call for a one-stop solution becomes louder by the day.

ALLIVE is an intelligent healthcare ecosystem based on blockchain technology, aimed at creating a decentralized platform for comprehensive and personalized healthcare.

  • Data Right + Data Flow
    • The current evidence-based healthcare relies on empirical clinical data for the universality of treatment processes. However, the movement to precision healthcare, represented by genetics and 4P medicine (Predictive, Preventative, Personalized, and Participatory), focuses on the individuality of each person’s healthcare strategy, which require massive amount of medical data. ALLIVE powers such transition by creating a data platform that o ers data encryption and data right enforcement in a distribution system, with the assistance from a closed-loop token system and smart contracts.
  • Resource Allocation + Arti cial Intelligence
    • In ALLIVE, users can nd doctors that best t their condition with the help of their digitized medical pro le, without going to the hospital every time they need one. In particular, ALLIVE can help patients with rare diseases to connect directly with medical resources around the globe. In addition, the AI doctor Olivia can o er initial diagnosis based on user health pro le (passive) and direct communication (active), breaking the bottleneck e ect.
  • Full Range + Full Process
    • ALLIVE completes a closed loop of healthy lifestyle by integrating full-process healthcare services through modular interfaces, covering general health management, doctor’s appointment, prescription lling, insurance processing, etc.
Features:
  • Olife: Personalized and self-perfecting health profile
    • ALLIVE creates an on-chain identi cation pro le Olife for each user, which gathers data from all DAPPs in ALLIVE and continues to self-perfect. Olife allows transactions in di erent DAPPs within one token system and facilitates data integration. The value created by user contribution in one DAPP can be transferred to another within ALLIVE. User has complete control over when and how Olife is used within ALLIVE and achieve any healthcare goal without compromising data security and privacy.
      • Health Data On-Chain Storage: Each Olife is asymmetrically encrypted and stored in ALLIVE nodes through IPFS protocol to ensure information security and data privacy. Only authenticated user consent through smart contract grants controlled data access.
      • Data Capitalization: ALLIVE enforces personal health data rights through its distributed network and takes back data control from centralized organizations. Users can also contribute to ALLIVE by granting data access to medical researchers in exchange for ALV.
      • Olife Nexus: Standardized smart contracts enable health data exchange in ALLIVE by managing access to Olife. Users de ne Olife access permission protocol through Nexus, and research institutions obtain appropriate health data by providing certain reward through Nexus, thus ensuring data ow, value ow, and privacy protection.
  • Olivia: AI health manager
    • Olivia is a super AI doctor of over 3 years’ R&D. This AI medical inquiry system is made possible by formulating a medical knowledge map with machine learning algorithms through the combination of digital technology and medical databanks. Olivia produces more than simpli ed and standardized reports, but will also be able to provide personalized healthcare plans by analyzing user health pro le and leveraging the vast resources on ALLIVE.
      • Healthcare at Home: Users can access professional healthcare advice through Olivia without going to a hospital by connecting wearable devices and other health data sources to Olivia, thus greatly reducing hospital burdens and improving user experience for all.
      • Personalized Healthcare: Olivia monitors user Olife for daily health data uctuation, and provides alert, advice, as well as healthcare strategies accordingly.
      • Technical Framework: Olivia is a self-perfecting AI algorithm model. The underlying database is a medical knowledge map that searches, reasons, extracts feature vectors to learn massive volumes of medical cases through deep learning technique with NLP, thus e ectively combining medical literature with actual cases to improve its clinical decision-making ability.
  • Oleaf: Closed Loop of Healthy Lifestyle
    • ALLIVE builds a foundation platform for healthcare DAPPs through modularized basic services. Oleaf is the modular API interface with SDKs, compatible with smart contracts with plug-and-play expansion capacity.
      • API and Service Expansion: ALLIVE provides decentralized on-chain hosting services for DAPPs with computing resources, bandwidth, decentralized le storage, big data analysis, and arti cial intelligence technology, building a sustainable and resilient network.
      • Closed Loop for Comprehensive Health: Through Oleaf, ALLIVE integrates healthcare service providers, medical service providers, wearable devices, medical R&D institutions, medical nancial services, as well as support groups to create comprehensive, seamless user experience for all healthcare needs.
      • Cross-App Collaboration: ALLIVE enables all DAPPs to establish their own token systems through blockchain technology, allowing smart contract collaboration through ALV across the whole network, uniting traditionally fragmented services by simplifying the value ow for the entire ecosystem.

To The Moon 🚀🌕
ROI x1

Price $0.006
Market Cap $1,800,000
Fully Diluted Market Cap $36,000,000
Qikai Liu
Founder & CEO
Involved in 1 project
Yi Zhang
Co-Founder & CTO
Involved in 1 project
Yong Zhang
Partner & Chief Engineer
Involved in 1 project
Forest Gao
Co-Founder & Chief Operation
Involved in 1 project
Dongfang Liu
Partner & Chief Mediciner
Involved in 1 project
Nan Jiang
Director of Service
Involved in 1 project
Yan Zheng
Director of Nutrition
Involved in 1 project
Ying Shen
Director of Administration
Involved in 1 project
Jun Shao
Senior Algorithm Engineer
Involved in 1 project
Chao Sun
Senior Software Engineer
Involved in 1 project
Advisors
Xiaochuan Wang
Involved in 1 project
Harriet Cao
Involved in 2 projects
William G. Hendren
Involved in 1 project
George Wu
Involved in 1 project
Yan Gong
Involved in 1 project
  • Q3 2018

    Intelligent Knowledge Graph V1.0

  • Q4 2018

    Strategic Partnership Building

  • Q1 2019

    Olivia Beta Version Release
    First Batch of DAPPs Launch

  • Q2 2019

    ALLIVE Token (ALV) Released

    Based on Ontology

  • Q4 2019

    ALLIVE Mainnet Launch

    Migration to Mainnet Token

    Second Batch of DAPPs Launch

Source
Rating
FindICO 404
2.4 / 5
2.7 / 5
MoNoico 404
3 / 5
TrackICO 404
2.6 / 5
Average
2.5 / 5
Ratings has been aggregated in date 24 November 2019
Loading...
 

Healthcare

Allive

ALLIVE is an intelligent healthcare ecosystem based on blockchain technology, aimed at creating a decentralized platform for comprehensive and personalized healthcare.

Sale ended 16 May 2019
16 May 2019 - 16 May 2019
IEO Details
Hardcap:
1,800,000 USD
Token Price:
0.006 USD
Min/Max cap:
Min 100,000 ALV
Max 666,666 ALV
Total Supply:
6,000,000,000
IEO Supply:
300,000,000 (5%)
Accepting:
OKB
Whitelist/KYC:
Whitelist & KYC
Country:
Singapore
Token Details
Token Platform:
Ontology
Token Explorers:
Coin Details
Ticker:
ALV

Healthcare data has been widely collected by individuals and institutions in various formats, but its practicalapplications have been limited due to stagnant data ow and lack of data right enforcement. As blockchain and AItechnologies gradually become available, a great opportunity to extract health data value presented itself.

Healthcare is a promising market worldwide. The percentage of medical expenditure over GDP has been increasing, reaching approximately 16% in 2014 (USD 12 trillion).

Of the 12 trillion dollars, health management has made up an important part. For instance, China now has approximately 200 million chronic disease patients and 500 million potential ones, growing 9% annually. The Internet-based healthcare market is about CNY 15 billion, and the general healthcare market is estimate to be CNY 9.65 trillion. As people grow more aware of comprehensive health, they become more willing to invest in healthy lifestyle and routine health management. It is expected that the Internet-based healthcare market will reach CNY 33 billion by 2020, and the general health management market will be CNY 13 trillion.

Meanwhile, health data has been digitized rapidly along with the widespread of electronic devices. In developed countries, the number of consumers with electronic medical record (EMR) has nearly tripled in the past decade, reaching 16%; while in China, as a developing country, only 0.6% of hospitals has reached level 5 or higher in terms of medical data digitization - developing countries still has a long way to go.

However, the cost for comprehensive health data digitization is almost too high. Take China for an example, the average cost for establishing a level-5 EMR system is CNY 10 million; bringing all city-level hospitals to level 5 would cost CNY 20 billion; bringing 70% of all hospitals to level 5 would cost CNY 200 billion. Counting in 900,000+ community medical institutions would drive the cost to over CNY 500 billion.

In all age groups, the number of consumers with electronic health record in America has been doubled in the past 5 years, raising from 8% to 16%. Due to the complicated nature of the healthcare industry, only building a uni ed data system seems a logical answer. However, the industry faces the following challenges:

  • Health data ownership is di cult authenticate and enforce, causing data silos
    • While they should, most individuals have little control over their own health data since it is stored in medical institutions such as hospitals, far beyond their reach. Such centralized storage cannot provide enough data security and privacy for data right enforcement.
    • Insu ciently clari ed data ownership, compiled with the competing nature among medical institutions, seriously impedes inter-agency data ow, retarding the development of many life-saving research projects that require massive data input, such as genetic disease prevention and management.
    • On the other hand, health data vary in type and format, further increasing the di culty of data standardization. Even in developed countries, the actual application of medical data protocol such as FHIR is far insu cient for comprehensive health status evaluation to a practical degree.
  • Medical resources mismatch the demand
    • High concentration of quality medical resources has made major healthcare institutions overcrowded and smaller ones empty. Furthermore, the lack of reliable and convenient initial diagnosis creates a bottleneck where the majority of patients will have to go to a general physician or a major hospital for a trusted opinion before continuing on. Under such circumstances, hospitals are burdened with treatment and forced to overlook quality services.
    • Meanwhile, as the standard of living improves, healthcare demand has expanded from mere treatment of illness to comprehensive health management, which has become a clear direction in which the healthcare industry has to evolve.
  • Fragmented medical services create poor user experience
    • Medical services in various elds have continued to improve, but the lack of inter- agency linkage causes great waste of data. Inconvenient non-medical services (lengthy insurance processing, untraceable counterfeit drugs, etc.) also adversely a ect user experience. The call for a one-stop solution becomes louder by the day.

ALLIVE is an intelligent healthcare ecosystem based on blockchain technology, aimed at creating a decentralized platform for comprehensive and personalized healthcare.

  • Data Right + Data Flow
    • The current evidence-based healthcare relies on empirical clinical data for the universality of treatment processes. However, the movement to precision healthcare, represented by genetics and 4P medicine (Predictive, Preventative, Personalized, and Participatory), focuses on the individuality of each person’s healthcare strategy, which require massive amount of medical data. ALLIVE powers such transition by creating a data platform that o ers data encryption and data right enforcement in a distribution system, with the assistance from a closed-loop token system and smart contracts.
  • Resource Allocation + Arti cial Intelligence
    • In ALLIVE, users can nd doctors that best t their condition with the help of their digitized medical pro le, without going to the hospital every time they need one. In particular, ALLIVE can help patients with rare diseases to connect directly with medical resources around the globe. In addition, the AI doctor Olivia can o er initial diagnosis based on user health pro le (passive) and direct communication (active), breaking the bottleneck e ect.
  • Full Range + Full Process
    • ALLIVE completes a closed loop of healthy lifestyle by integrating full-process healthcare services through modular interfaces, covering general health management, doctor’s appointment, prescription lling, insurance processing, etc.
Features:
  • Olife: Personalized and self-perfecting health profile
    • ALLIVE creates an on-chain identi cation pro le Olife for each user, which gathers data from all DAPPs in ALLIVE and continues to self-perfect. Olife allows transactions in di erent DAPPs within one token system and facilitates data integration. The value created by user contribution in one DAPP can be transferred to another within ALLIVE. User has complete control over when and how Olife is used within ALLIVE and achieve any healthcare goal without compromising data security and privacy.
      • Health Data On-Chain Storage: Each Olife is asymmetrically encrypted and stored in ALLIVE nodes through IPFS protocol to ensure information security and data privacy. Only authenticated user consent through smart contract grants controlled data access.
      • Data Capitalization: ALLIVE enforces personal health data rights through its distributed network and takes back data control from centralized organizations. Users can also contribute to ALLIVE by granting data access to medical researchers in exchange for ALV.
      • Olife Nexus: Standardized smart contracts enable health data exchange in ALLIVE by managing access to Olife. Users de ne Olife access permission protocol through Nexus, and research institutions obtain appropriate health data by providing certain reward through Nexus, thus ensuring data ow, value ow, and privacy protection.
  • Olivia: AI health manager
    • Olivia is a super AI doctor of over 3 years’ R&D. This AI medical inquiry system is made possible by formulating a medical knowledge map with machine learning algorithms through the combination of digital technology and medical databanks. Olivia produces more than simpli ed and standardized reports, but will also be able to provide personalized healthcare plans by analyzing user health pro le and leveraging the vast resources on ALLIVE.
      • Healthcare at Home: Users can access professional healthcare advice through Olivia without going to a hospital by connecting wearable devices and other health data sources to Olivia, thus greatly reducing hospital burdens and improving user experience for all.
      • Personalized Healthcare: Olivia monitors user Olife for daily health data uctuation, and provides alert, advice, as well as healthcare strategies accordingly.
      • Technical Framework: Olivia is a self-perfecting AI algorithm model. The underlying database is a medical knowledge map that searches, reasons, extracts feature vectors to learn massive volumes of medical cases through deep learning technique with NLP, thus e ectively combining medical literature with actual cases to improve its clinical decision-making ability.
  • Oleaf: Closed Loop of Healthy Lifestyle
    • ALLIVE builds a foundation platform for healthcare DAPPs through modularized basic services. Oleaf is the modular API interface with SDKs, compatible with smart contracts with plug-and-play expansion capacity.
      • API and Service Expansion: ALLIVE provides decentralized on-chain hosting services for DAPPs with computing resources, bandwidth, decentralized le storage, big data analysis, and arti cial intelligence technology, building a sustainable and resilient network.
      • Closed Loop for Comprehensive Health: Through Oleaf, ALLIVE integrates healthcare service providers, medical service providers, wearable devices, medical R&D institutions, medical nancial services, as well as support groups to create comprehensive, seamless user experience for all healthcare needs.
      • Cross-App Collaboration: ALLIVE enables all DAPPs to establish their own token systems through blockchain technology, allowing smart contract collaboration through ALV across the whole network, uniting traditionally fragmented services by simplifying the value ow for the entire ecosystem.

To The Moon 🚀🌕
ROI x1

Price $0.006
Market Cap $1,800,000
Fully Diluted Market Cap $36,000,000
Share This Page
Qikai Liu
Founder & CEO
Involved in 1 project
Yi Zhang
Co-Founder & CTO
Involved in 1 project
Yong Zhang
Partner & Chief Engineer
Involved in 1 project
Forest Gao
Co-Founder & Chief Operation
Involved in 1 project
Dongfang Liu
Partner & Chief Mediciner
Involved in 1 project
Nan Jiang
Director of Service
Involved in 1 project
Yan Zheng
Director of Nutrition
Involved in 1 project
Ying Shen
Director of Administration
Involved in 1 project
Jun Shao
Senior Algorithm Engineer
Involved in 1 project
Chao Sun
Senior Software Engineer
Involved in 1 project
Advisors
Xiaochuan Wang
Involved in 1 project
Harriet Cao
Involved in 2 projects
William G. Hendren
Involved in 1 project
George Wu
Involved in 1 project
Yan Gong
Involved in 1 project
  • Q3 2018

    Intelligent Knowledge Graph V1.0

  • Q4 2018

    Strategic Partnership Building

  • Q1 2019

    Olivia Beta Version Release
    First Batch of DAPPs Launch

  • Q2 2019

    ALLIVE Token (ALV) Released

    Based on Ontology

  • Q4 2019

    ALLIVE Mainnet Launch

    Migration to Mainnet Token

    Second Batch of DAPPs Launch

 Select Source
Source
Rating
FindICO 404
2.4 / 5
2.7 / 5
MoNoico 404
3 / 5
TrackICO 404
2.6 / 5
Average
2.5 / 5
Ratings aggregated in date 24 November 2019
Loading...

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