Researchers develop a device in the size of a slide to detect cancer

Researchers have revealed a very small new device that can detect cancer early. The device belongs to a set of tools known as a ‘laboratory on a chip’, and it depends on the technique of vocal fluid that can separate the cells in real time with high efficiency and low energy consumption. The “lab-on-a-cip” technology is a scientific and technical innovation aimed at reducing complete laboratory functions, and turning it into a small device on the size of an electronic slide or chip. This technique allows complicated tests, or biological and chemical surgeries on a very small scale with small amounts of fluids, which can reach some microlitures. This advanced technique is not limited to improving the accuracy and speed of cancer diagnosis, but also allows forecasting patterns of tumor cells elsewhere, paving the way for new innovations in personal medicine and early diagnosis. Early diagnosis of cancer and cancer is one of the deadliest diseases in the world, causing about 10 million deaths in 2020, equivalent to death in every 6 cases worldwide, according to the World Health Organization. Early diagnosis is one of the biggest challenges in the face of cancer, as the abnormal growth of cells is often discovered in late stages, reducing the chances of effective treatment. Therefore, the early diagnosis of cancer remains one of the most important medical priorities worldwide. In recent years, the researchers have focused on detecting rare blood cells spread in the blood, which are not -surgical indicators that help improve cancer diagnosis. The process of separating these cells from the blood is very difficult because it requires accurate techniques to handle large amounts of samples as they need complicated equipment and long preparation steps. To solve this problem, scientists have proposed an innovative system that uses fixed superficial sound waves to separate the red blood cell tumor cells with unprecedented efficiency and accuracy. According to the study published in the journal “Physics of Fluids”, the new system depends on the combination of advanced arithmetic modeling, experimental analysis and artificial intelligence algorithms to analyze complex phenomena related to vocal fluid techniques. Advanced calculation modeling has begun to study the system design using advanced arithmetic modeling, with the aim of creating an accurate model of how tumor cells interact with the vocal forces within the system. This includes the use of mathematical algorithms to analyze fluid movement and particles within the accurate channels of the device, which helps to understand how to separate the tumor cells from other cells, such as red blood cells. Thereafter, the researchers tested the system in practice using real samples, by adding the sample, containing cells and throwing, to the device that must be subjected to audio pressure within now channels. The standards of the device, such as audio pressure and the velocity of fluid flow, are accurately adjusted to get the best results to separate the tumor cells from the non -targeted cells. Techniques such as fixed sound waves and double vocal fields are also used to improve the effectiveness of the separation. The researchers merged artificial intelligence algorithms to analyze the data arising from the experiment. Artificial intelligence helps to assess the cell movement pattern within the channels and accurately identify the tumor cells, and algorithms direct the system to adjust the sound pressure and velocity of fluid flow, according to the changes in real time, which ensures the achievement of separation and recovery rate of up to 100% in optimal conditions. A complete laboratory platform and eventually the researchers improved the system to achieve the maximum degree of exact separation between tumor cells and other cells. Thanks to the ability to control the sound pressure, the fluid flow rate has been accurately reduced, and to ensure that the severance process is done with high efficiency without affecting the quality of the extracted data. The researchers believe that the system design, which depends on the application of vocal pressure within the micro -ducts, enables the ability to collect accurate data over the times of cell interaction and its movement paths, to expect the patterns of tumor cells migration. Thanks to the innovation, an integrated laboratory platform has been produced on the laboratory-on-IP slice that enables the cells in real time with high efficiency and low energy consumption.