We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Seegene Develops World’s First Multiplex MDx Assays with AI System

By HospiMedica International staff writers
Posted on 09 Jan 2018
Print article
Image: Seegene has developed the world’s first molecular diagnostics assays using an artificial intelligence-based automated assay development system (Photo courtesy of Seegene).
Image: Seegene has developed the world’s first molecular diagnostics assays using an artificial intelligence-based automated assay development system (Photo courtesy of Seegene).
Seegene Inc. (Seoul, South Korea), a developer of multiplex PCR technologies, successfully developed molecular diagnostics (MDx) assays in just four days using an artificial intelligence- (AI) based automated assay development system. These assays are high multiplex real-time PCR reagents developed completely by AI and are meant for the simultaneous detection of eight different DNA targets for each of meningitis and sexually transmitted infections.

The Seegene Digitalized Development System (SG-DDS) automates real-time PCR assay development by utilizing big data of causative agents for diseases, Seegene's novel algorithms, and in silico oligonucleotide design with virtual experiments. This significantly reduces the time and labor required for R&D and simplifies the complicated real time PCR assay development processes, thereby allowing even non-professionals to easily develop multiplex MDx assays according to their requirement.

"The performance (sensitivity and specificity) of the assays developed by AI are equivalent to or even better than that of those manually developed," said a spokesperson from Seegene. "Only four days were sufficient by the AI system to successfully develop two 8-plex assays, while more than a year was required by a team of experienced professionals."

"We have already witnessed AI surpassing human intelligence in developing medical devices. Therefore, all molecular diagnostic assays will be developed by AI instead of professional researchers," added Dr. Jong-Yoon Chun, CEO and Founder of Seegene. "SG-DDS is now the most economical solution to MDx assay development as it saves time and labor, and will ultimately drive down the cost of molecular diagnostic tests, one of the biggest obstacles in MDx market. SG-DDS will lead to standardization of MDx system and promote tailor-made medical treatment."

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Print article

Channels

Critical Care

view channel
Image: The stretchable microneedle electrode arrays (Photo courtesy of Zhao Research Group)

Stretchable Microneedles to Help In Accurate Tracking of Abnormalities and Identifying Rapid Treatment

The field of personalized medicine is transforming rapidly, with advancements like wearable devices and home testing kits making it increasingly easy to monitor a wide range of health metrics, from heart... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.