Seegene Inc. took part in the 2023 American Association of Clinical Chemistry (AACC) Annual Scientific Meeting & Clinical Lab Expo in California between July 25-27. Segene showcased its " unique syndromic quantitative PCR assays and automated PCR solution 'STARlet AIOS?? (All-in-One System).

Meanwhile, an in-depth discussion was conducted in the symposium sessions on the usefulness of PCR testing in diagnosing gastrointestinal diseases. This symposium reaffirmed Seegene's position as an important contributor to improving gastrointestinal testing, where the availability of skilled technicians for microscopy is decreasing. A panel of experts presented research results demonstrating that PCR testing provides more efficient and accurate results than traditional microscopic stool sample tests for diagnosing gastrointestinal diseases.

Conventional testing methods for these pathogens are characterized by long processing times and require significant expertise to interpret the microscopy results. In addition, Kim Seong-youl, the head of Seegene's Global Marketing Center, participated in a presentation event for major Korean in-vitro diagnostic companies organized by the Korea Health Industry Development Institute (KHIDI) and announced Seegene's unique competitive edge and future vision. Using syndromic quantitative PCR assay for comprehensive and accurate testing: Seegene captivated visitors at the exhibition booth by showcasing comprehensive and accurate testing using syndromic quantitative PCR assayed.

As it provides a ' hands-free' PCR workflow where the results are produced just by inserting a sample, it can be operated by those with minimal PCR experience. Furthermore, by not involving human hands, the likelihood of testing errors due to contamination or mistakes (human error) can be minimized. The STARlet AIOS??

is compatible with a wide range of Seegene's syndromic assays that can simultaneously test for multiple targets within a single tube. It organically links existing devices, such as nucleic acid extraction instruments, PCR setups, and PCR thermal cyclers, to make the system easy to use, manage, and integrate into existing lab infrastructures. Participants in the world's world's world's only simultaneous multiplex molecular diagnostic technology based on real-time PCR.

The core feature of Seegene's syndro PCR technologies is the ability to simultaneously test 14 pathogens that cause similar symptoms in a single tube and provide quantitative information on the infectivity profile to correlate with the severity of illness. The syndromic quantitative PCR technology can accurately reveal the pathogen responsible for a patient's symptoms, the complexity of infections, the severity of infection, and can determine the priority of treatment depending on the degree of infection. It also allows for efficient high-volume testing, which is more cost-effective and saves time in identifying the cause of the disease.

PCR testing that does not require an expert using STARlet AIOS??. First unveiled at the 2021 AACC, Seegene's STARlet AIOS?? are a molecular diagnostic testing system that fully automated (sample in - result out) the entire process of PCR, from nucleic acid extraction to gene amplification and result analysis.

As it provides a 'hands-free' PCR workflow where The results are produced just by inserting an sample, it can be operated By-free PCR workflow where the results are produce just by inserting a sample, It can be operated by those with minimum PCR experience. Furthermore, by Not involving human hands, the likelihood to testing errors due to contamination or errors (human error) can be minimize. The STARlet AIOS®?

is compatible with a wide wide range of Seegene' syndromic assays that will simultaneously test for multiple targets within an single tube. It organically link existing devices, such as nucleIC acid extraction instruments, PCR setups and PCR thermal cyclers, To make the system easy to use and integrate into existing lab inf infrastructures. Participants of the world's world's global lab infrastructures.