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 hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App





Noul Demonstrates AI-Driven On-Site Diagnostics Platform at MEDICA 2022

By LabMedica International staff writers
Posted on 15 Nov 2022
Print article
Image: The miLab AI-based electro-dynamic blood diagnostic platform (Photo courtesy of Noul)
Image: The miLab AI-based electro-dynamic blood diagnostic platform (Photo courtesy of Noul)

Noul Co., Ltd. (Gyeonggi-do, Korea) is demonstrating the world’s first integrated device featuring fully-automated sample preparation and AI-based diagnosis at the 2022 edition of MEDICA being held from 14 to 17 November in Düsseldorf, Germany.

At MEDICA 2022, Noul is demonstrating miLab, which is the world’s first all-in-one, fully-automated device which can process sample preparation and AI diagnostic in one workflow. miLab integrates cutting edge technologies from computer vision AI, bio, hardware and software engineering. From automated sample preparation to imaging and AI analysis, the miLab platform combines the gold standard in blood diagnostics into a fully automated benchtop platform. Combined with embedded AI and the company’s patented Next Generation Staining and Immunostaining (NGSI) cartridges, miLab provides an accurate analysis in 20 minutes using just 5 uL of blood. NGSI, the patented solid-based staining technology can replace the current liquid-based sample preparation methods and possess the potential to expand applicabilities to other diagnostic areas. NGSI technology eliminates the liquid usage in the sample staining process and can complete it in only a few minutes using a single step stamping method.

miLab provides superior accuracy compared to the competing technologies by combining multi-focus imaging and the state-of-the-art AI algorithm. The company’s AI can perfectly replicate the diagnosis of an expert microscopist without the errors and deviations. miLab’s AI algorithm analyzes multi-layered digital images of smeared blood cells to achieve 99%+ specificity in order to classify and detect parasite-infected cells. Among Noul’s offerings is the miLab Malaria which detects different stages of Plasmodium Falciparum and Plasmodium Vivax species and the miLab BCM which provides a morphology-based white blood cell (WBC) differential and cell count estimations, allowing decentralized health facilities to perform a WBC differential count and CBC estimation.

Related Links:
Noul Co., Ltd.

Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Coagulation Analyzer
CS-2400
New
HIV-1 Test
HIV-1 Real Time RT-PCR Kit

Print article

Channels

Clinical Chemistry

view channel
Image: The study demonstrated that electric-field molecular fingerprinting can probe cancer (Photo courtesy of ACS Central Science, 2025, 10.1021/acscentsci.4c02164)

New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma

Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read more

Molecular Diagnostics

view channel
Image: The study validated the Lumipulse p-tau21 automated and scalable blood test system (Photo courtesy of Fujirebio)

Blood Test for Early Alzheimer's Detection Achieves Over 90% Accuracy

Alzheimer's disease (AD) is a debilitating condition and a leading cause of disability and death worldwide. The availability of reliable diagnostic tools is currently restricted, and diagnosis often relies... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Delivers Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Technology

view channel
Image: Schematic illustration of the chip (Photo courtesy of Biosensors and Bioelectronics, DOI: https://doi.org/10.1016/j.bios.2025.117401)

Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples

Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.