Research and technological brilliance are the keys to modern society. Living this mentality, NORGANOID thrives for impacting civilization by continuously expanding our know-how and improving in performing in the areas of

stem cell technologies, organ-on-chip, personalized medicine, and AI

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Stem Cells

From human iPSC to organ-like structures

Fluidics & Organ-on-chip

Automating tissue engineering and 3D-Organ-On-Chips

Personalized Medicine

From individual disease models to promising therapies

Machine Learning & AI

Precise data analysis and enhanced predictions

Stem Cells

From human iPSC to organ-like structures

Embryonic cells have an unlimited capacity for self-renewal through indefinite cell division. They are pluripotent as they can differentiate into cells from all three germ layers to define the various and complex organs of the human body.

Induced pluripotent stem cells (iPSC) are genetically modified mature body cells that behave like embryonic ones. With iPSC, we recapitulate human evolution, discover how different cell and organ functions originate and demonstrate how dysfunctions occur.

3D cultures or organoids engineered from iPSC represent a sophisticated architecture as seen in tissues and thus are organ-like. That comprises the diverse set of cell types with their defined positions and natural behavior given in an organ. Using human organoids in drug research instead of single (2D) cells highly increases the accuracy in modeling diseases and discovering novel therapeutics.

Fluidics & Organ-on-chip

Automating tissue engineering and 3D-Organ-On-Chips

Microfluidic technology also enables the cultivation and manipulation of cell and tissue cultures at the microliter scale. Organ-on-chip devices are novel cell and tissue culture wares that combine networks of channels for fluid transport and chambers where the cultivation process takes place. Those biochips often incorporate microelectronics and nanomaterials, too.

Organ-on-chip implementation differs from the conventional macroscopic cultivation procedures in a more efficient way. Research-related expenses and time consumption reduce significantly while more accurate results are guaranteed. This technology has gained enormous prominence in various medical research fields and point of care diagnostics.

We specifically focus on fully automating complex tissue cultures and human organoids from iPSC on fluidic- and nano modules to advance drug research with our 3D-Organ-On-Chip devices.

Personalized Medicine

From individual disease models to promising therapies

Although scientists endeavor to unlock the complexity of human diseases, most questions regarding degeneration, including the central nervous system (CNS), remain open. An aging world population faces a high risk for degradation of cognitive and motor skills, as seen in Parkinson's, Alzheimer's, and various forms of brain impairment.

Studies have shown that early intervention can prevent the development of those diseases. To achieve that goal, the main focus must lay in understanding the biology defining degeneration in detail. Here, iPSC are of great benefit. They conserve individual genetic information, also of diseases, and thus are practical when modeling human ailments.

Since a patient's iPSC govern all necessary information allocated with an illness, organoids from those iPSC mirror the disease in the lab. That counts for Alzheimer's and other forms of neurodegeneration, too.

Although diseases may have similar origins, they establish differently in different people. By modeling a patient's pain with organoids, there is the ability to prove the effectiveness of drugs specifically for every single person. It is a major societal success to have entered the era of personalized and precision medicine.

Machine Learning & AI

Precise data analysis and enhanced predictions

Biological and medical research produce innumerable and varying amounts of data that require proper interpretation to understand and predict disease phenomena accordingly.

Being overwhelmed by the immense sets of data and their intercorrelation, there is an unmet need for advanced tools for processing biological information in a way that we can discover new knowledge. Novel AI- and machine learning techniques emerge into applied science with the capacity of transforming medical research as they independently make use of experience and learn from given data. They are useful when it comes to detecting complex relationships among different data and handling them.

Machine learning programs extract information out of complex data sets with unique precision. Scientists use computational analytics to identify DNA sequences, protein structures, and metabolic pathways, procedures that traditionally are time- and staff-consuming but are also prone to errors. In clinical research, AI is becoming popular for diagnosing or simulating mechanisms underlying diseases, even for individual patients.

By combining the analysis of multiple data types, there is an enormous potential to further our understanding of complex biological phenomena to predict the outcome of drugs more accurately and elevate drug discovery.