Luven Diagnostic - 独特的癌症诊断技术

由我公司的科学家创建的LUVEN筛选试验方法在其与高达96%的准确度仅相当于活检早期检测癌症。的现有的诊断技术中没有具有如此高的诊断的准确性。该LUVEN技术可以诊断疾病在其早期阶段,因此,给人一种机会,成千上万的人,防止其进一步发展。

代币基本信息

状态
已成功
货币符号
LVN
开始日期
2017-11-15
结束日期
2017-12-06
初始价格
1 Ethereum = 290 tokens
代币数
30,000,000
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基本信息

平台Ethereum
类型ERC20
接受币种ETH, BTC
流通百分比未知
KYC未知
受限地域未知
网站首页链接
白皮书下载

折扣信息

  • preICO 1st day - 30%
  • preICO 1st week - 25%
  • preICO 2nd week - 20%
  • preICO 3d week - 15%
  • ICO 1st week - 10%

项目介绍

The LUVEN screening test method created by scientist of our company detects cancer at its early stages with the accuracy of up to 96% only comparable to biopsy. None of the existing diagnostic techniques has such a high diagnostic accuracy.The LUVEN technology allows to diagnose the disease at its early stages, thus, giving a chance to thousands of people to prevent its further development.For more than 20 years the Ukrainian scientists have been developing a diagnostic method based on cyto-morphological and cyto-biophysical properties of the buccal epithelial cells. In 2004 at Fenix Cancer Research Center, they continued their research and, finally, came up and implemented an experimental method. A new method of biomaterial analysis allowed to establish a cancer diagnosis at its early stages and to assess predisposition to cancer. A great success in this medical field opened a door to new possibilities,including cancer prevention and therapy. The longstanding scientific research in this field culminated in development of The Luven diagnostic system.

Why is it critical to detect cancer in its early stage?

Around 10 mln people worldwide are annually diagnosed with cancer, with every third patient dying from it. One of the main reasons of such a high mortality rate is late diagnosis.

According to statistics:

  • after treatment in stage 1 cancer — around 93% of patients survive;
  • stage 2 cancer — around 75% survive;
  • stage 3 cancer — 55% survive;
  • stage 4 cancer — only 13% survive; This is why one should get a check-up as often as possible, thus preventing the disease progression.Regardless of the rapid development of modern medicine and biology cancer, annually, takes millions of human lives. One cancer patient, worldwide, dies from this disease every 30 seconds.

The key to successful cancer treatment is early diagnosis.

Our History

The development of this method started in early 1983 at the research institute, chair for genetics. Based on the cellular theory by Rudolf Vichow, a team of scientists was working on a diagnostic method and studying buccal cells. Ms. Galina Shchukina, a genetic scientist and cytologist, was at the head of the scientific research. She conducted an in-depth study of scientific papers describing a new biophysical concept of the gene activity regulation based on the role of relationship between homologous chromosomes and genome. Together with Mr. Alexander Shchukin, a nuclear physicist, they invented an ion trap allowing to estimate bioelectric charge of cells. Further research and studies of this concept laid the basis for a new diagnostic method born in 2004, according to which any changes in the human body reflect on cells, including buccal epithelial cells. It was the first milestone in the development of LUVEN a unique diagnostic and treatment system. As of today, this method allowed to collect statistical data on tests of more than twenty thousand of patients.

Why is it lucrative?

Cancer research is an acute social problem, in view of this they cast a veil on profits of medical companies. However, in-vitro diagnostics, and particularly cancer diagnostics, is a huge and most rapidly developing sector, with the potential global market of DNA cancer tests worth about $20 bn.Unlike the majority of projects involving ICO, our company has already completed 90% of the whole thing. The presale period starts on November 15 until December 6, 2017. The token sale is planned from January 15 to February 28, 2018.

团队介绍 查看全部

Alexander Danilchenko
Alexander Danilchenko
CEO
Nikolay Shchukin
Nikolay Shchukin
Postgraduate Student of Chair for Biomedical Engineering
Aleksander Shchukin
Aleksander Shchukin
Nuclear Physician
Galina Shchukina
Galina Shchukina
Geneticist & Cytologist
Grigory Evglevskiy
Grigory Evglevskiy
CTO
Alexander Kamensky
Alexander Kamensky
Principal Software Engineer