About Us old

COMPANY

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EXECUTIVE SUMMARY

THE PROBLEM

“The ability to generate a very good quality technical sequence of the human genome exists. But there is a massive gap between having the data in front of us and knowing what it all means”.

Quote from December 2020 interview with Dr. Eric Green, head of the National Human Genome Research Institute (Leading US genomic research organization.)

The life sciences industry is under pressure due to increasing costs and time required to bring average drug to market. Traditional methods of conducting clinical trials may not be sustainable as high rates of failure exceed revenues from new drugs.

OUR SOLUTION

Collaboration with Fortune 100 company for groundbreaking development of biological digital twins embedded with proprietary genetic and epigenetic analytics as well as generative AI and quantum computing.

Ethical and Privacy Considerations

Given the sensitive nature of genomic and health data, it’s crucial for GNQ to maintain rigorous ethical standards and data privacy measures to protect individuals’ information.

Collaborations with research institutions, clinical experts, and regulatory bodies are essential for validating the findings and ensuring that they meet regulatory standards for drug development.

The dataset derived from over 15,000 case studies  is a substantial and diverse source of information. Including a wide range of genetic, environmental, lifestyle, and health-related data, making it a valuable resource for understanding the underlying causes of diseases and cellular behavior.

The combination of proprietary genomic insights and advanced technologies can significantly accelerate the research and development process. This can lead to faster discoveries and potentially more effective treatments for a wide range of diseases.

GNQ’s approach takes a comprehensive approach essential for gaining insights into complex diseases including factors influencing cellular behaviours such as genetic pathways, environmental factors, lifestyle choices, diet, exercise, and more.

The integration of genomics, AI, and quantum computing represents a cutting-edge approach to drug discovery and development. Genomics provides insights into the genetic basis of diseases, AI can analyze and interpret vast datasets, and quantum computing can tackle complex simulations and calculations that were previously challenging.

GNQ’s platform introduces a novel approach to drug discovery. By leveraging deep genomic understanding and advanced technologies, it has the potential to identify novel drug targets, optimize drug molecules, and predict treatment responses with greater precision.

OUR SOLUTION

Collaboration with Fortune 100 company for groundbreaking development of biological digital twins embedded with proprietary genetic and epigenetic analytics as well as generative AI and quantum computing.

Ethical and Privacy Considerations

Given the sensitive nature of genomic and health data, it’s crucial for GNQ to maintain rigorous ethical standards and data privacy measures to protect individuals’ information.

Collaboration and Validation

Collaborations with research institutions, clinical experts, and regulatory bodies are essential for validating the findings and ensuring that they meet regulatory standards for drug development.

Rich Dataset

The dataset derived from over 15,000 case studies  is a substantial and diverse source of information. Including a wide range of genetic, environmental, lifestyle, and health-related data, making it a valuable resource for understanding the underlying causes of diseases and cellular behavior.

Accelerated Research

The combination of proprietary genomic insights and advanced technologies can significantly accelerate the research and development process. This can lead to faster discoveries and potentially more effective treatments for a wide range of diseases.

Factors Influencing Cellular Behavior

GNQ’s approach takes a comprehensive approach essential for gaining insights into complex diseases including factors influencing cellular behaviours such as genetic pathways, environmental factors, lifestyle choices, diet, exercise, and more.

Genomics, AI, and Quantum Computing

The integration of genomics, AI, and quantum computing represents a cutting-edge approach to drug discovery and development. Genomics provides insights into the genetic basis of diseases, AI can analyze and interpret vast datasets, and quantum computing can tackle complex simulations and calculations that were previously challenging.

Novel Approach

  • Ethical and Privacy Considerations
  • Collaboration and Validation
  • Rich Dataset
  • Accelerated Research
  • Factors Influencing Cellular Behavior
  • Genomics, AI, and Quantum Computing
  • Novel Approach

Given the sensitive nature of genomic and health data, it’s crucial for GNQ to maintain rigorous ethical standards and data privacy measures to protect individuals’ information.

Collaborations with research institutions, clinical experts, and regulatory bodies are essential for validating the findings and ensuring that they meet regulatory standards for drug development.

The dataset derived from over 15,000 case studies  is a substantial and diverse source of information. Including a wide range of genetic, environmental, lifestyle, and health-related data, making it a valuable resource for understanding the underlying causes of diseases and cellular behavior.

The combination of proprietary genomic insights and advanced technologies can significantly accelerate the research and development process. This can lead to faster discoveries and potentially more effective treatments for a wide range of diseases.

GNQ’s approach takes a comprehensive approach essential for gaining insights into complex diseases including factors influencing cellular behaviours such as genetic pathways, environmental factors, lifestyle choices, diet, exercise, and more.

The integration of genomics, AI, and quantum computing represents a cutting-edge approach to drug discovery and development. Genomics provides insights into the genetic basis of diseases, AI can analyze and interpret vast datasets, and quantum computing can tackle complex simulations and calculations that were previously challenging.

GNQ’s platform introduces a novel approach to drug discovery. By leveraging deep genomic understanding and advanced technologies, it has the potential to identify novel drug targets, optimize drug molecules, and predict treatment responses with greater precision.

GNQ’s platform introduces a novel approach to drug discovery. By leveraging deep genomic understanding and advanced technologies, it has the potential to identify novel drug targets, optimize drug molecules, and predict treatment responses with greater precision.

Our vision is to foster widespread adoption and trust in blockchain technology and cryptocurrencies by championing innovation, accessibility, and security. We aim to empower individuals and businesses globally through user-friendly solutions that simplify complex financial processes and enable seamless participation in the digital economy.

Ipan Benjamin
CEO of Nextronium

Our Mission

Nextronium's Mission

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Secure Crypto Solutions

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Empowering Crypto Education

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Advancing Decentralization

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Our Value

Nextronium's Foundational Values

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01

Integrity

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02

Innovation

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03

Customer-Centricity

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04

Collaboration

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05

Accountability

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06

Empowerment

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Our Team

Introducing the Nextronium Team

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Ipan Benjamin

Founder

Garrett Yasin

Co Founder

Alyssa Kipop

CTO

Henry Barterr

Head of Operations

Awards Received by Nextronium

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Blockchain Innovation Award

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Crypto Exchange of the Year

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Our Diverse Network of Partners.

Questions & Answers

Frequently Ask Questions

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