Scientists from Bilkent University have uncovered how a series of materials ranging from atoms to human cells come together under the laws of physics and mathematics. With the new discovery, it is thought that revolutionary advances can be paved from biotechnology to nanotechnology.
While the new deadly coronavirus (COVID-19) epidemic, which has cost the lives of hundreds of thousands of people around the world, continues, the researchers of Bilkent University National Nanotechnology Research Center (UNAM), within the framework of the physical and mathematics laws of a series of materials ranging from atoms, which have been a secret to the scientific world, to human cells. By discovering how he came together, he made a scientific discovery. With the new discovery, Turkish scientists have taken a step to contribute to research to understand COVID-19.
Scientists at Bilkent University UNAM announced their new discoveries in an article published in Nature Physics, one of the most prestigious scientific journals in the world. In the article, Bilkent University-UNAM, Assoc. Dr. Ömer İlday, Bilkent University-UNAM, Physics, Electrical and Electronics Engineering Departments and Professor from NTU Singapore. Dr. Hilmi Volkan Demir, Department of Molecular Biology and Genetics, Bilkent University, and Assoc. Dr. Özgür Şahin has the signature of Doctor Lecturer Doruk Engin from Ankara University Biotechnology Institute and Serim İlday, Bilkent University UNAM Physician Lecturer.
May lead to revolution in biotechnology
The article shows for the first time how a series of materials, ranging from a few atoms-size quantum dots to human cells about 100 trillion atoms, come together under the laws of physics and mathematics. Scientists went beyond that and proved that these laws also apply to completely independent systems such as economics, ecology, and sociology.
Speaking about his discoveries, Serim İlday said that the method they developed could open up revolutionary advances in many areas from biotechnology to nanotechnology. İlday stated that with the system they developed, they were able to move live human cells and microorganisms from one place to another within seconds, and they could separate the mixed bacterial communities from each other.
Stating that the algorithm they developed can be used in many areas from COVID-19 laboratory studies to spreading maps, İlday said, ‘We anticipate that this method can be diagnosed with rapid infection. As a team, we found that the mathematical model we developed as well as the practical applications of the method had interesting connections with regard to the emergence and course of epidemic diseases. ‘ said. Drawing attention to the absence of a COVID-19 pandemic at the time of the study, İlday said, ‘However, in our preliminary studies, we found that our findings were related to the spread of the pandemic.’ used expressions.
İlday said that if COVID-19’s connection with the S-curve and Tracy-Widom statistics can be understood, conscious steps can be taken on predictable and preventing the course of the pandemic. While COVID-19-day patient count data generated a distribution called the S-curve, deviations from this distribution also showed Tracy-Widom statistics. This corresponds exactly to what scientists show in their articles.