Biology inspired technology for helping scientists
We provide an in vitro human systemic platform hosting clinically-relevant size tissue models under physiological fluidic environments for your testing
The biology in lab and in REAL life
Science shows that tests carried out in 2D-standard assays are too simplistic and don’t represent the complexity of real tissues. Moreover, such tests are typically executed under static conditions, although biological life is dynamic: this leads to errors and lack of outcome reliability.
From the excellence of the Italian research, a team of scientists with international collaborations has designed MIVO®, a biology driven technology that put together 3D tissues and the fluidics governing biological processes.
Primary cells are used in ADME and toxicology studies. Let’s find out how and why.
The main difference between primary cells and tumor cell lines is that the first are isolated directly from healthy human or animal tissues while others have normal diploid chromosomes and maintain much of the [...]
The demand of anti-pollution beauty products is growing in 2020
The beauty products with anti-pollution battling skin care are on the rise in markets. The increasing pollution levels, the deteriorating air quality, the depleting ozone layer and wider climate concerns, have all caused a [...]
How is the study on the evaluation of alternative methods to animal testing going?
In Europe there is a commission, the EURL ECVAM which is an integral part of the JRC, JOINT RESEARCH CENTER which is located in Ispra, Italy. The mandate of EURL ECVAM is reported in [...]
Reliable
Perform realistic, controlled and reproducible tests in a 3D human systemic environment.
Efficient
Save time and money, turning what you use into disposable MIVO device, which adds human and systemic benefits to your tests.
Customizable
Keep your cells and tissues, use your protocol assays, move on MIVO platform for novel testing needs.
Cruelty free
Contribute to a sustainable cruelty free future.
React4life is proudly supported by
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 827655
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 801159
