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

Download Mobile App





Global Good and Motic Announce AI-Powered Microscope at MEDICA 2017

By HospiMedica International staff writers
Posted on 15 Nov 2017
Print article
Image: The EasyScan GO AI-powered microscope is designed to help fight the spread of drug-resistant malaria and assist in case management (Photo courtesy of Motic).
Image: The EasyScan GO AI-powered microscope is designed to help fight the spread of drug-resistant malaria and assist in case management (Photo courtesy of Motic).
Advanced microscope designer and manufacturer Motic China Group Co., Ltd. (Xiamen, China), has announced at MEDICA 2017 that it will partner with the Global Good Fund (Bellevue, WA, USA), a collaboration between Intellectual Ventures and Bill Gates, to develop technologies for humanitarian impact. The collaboration will create and distribute the EasyScan GO, a breakthrough AI-powered microscope to fight the spread of drug-resistant malaria and assist in case management.

Motic specializes in manufacturing conventional compound microscopes, while Global Good is dedicated to inventing technology for humanitarian impact by collaborating with leading humanitarian organizations, forward-looking governments, research institutions, and corporate and private sector partners. Both Motic and Global Good will collaborate to create and distribute the EasyScan GO AI-powered microscope, which uses custom image recognition software to identify and count malaria parasites in a blood smear in as little as 20 minutes.

Accurate detection of severe and drug-resistant cases requires analysis of a blood smear by a WHO-certified expert microscopist, which takes roughly 20 minutes per slide. Automating the process with an intelligent microscope can alleviate the shortfall of trained personnel in under-resourced countries. Field tests of an early prototype of the microscope presented at the International Conference on Computer Vision (ICCV) showed that the machine-learning algorithm developed by Global Good is as reliable as an expert microscopist.

The EasyScan GO is currently being trained to recognize all species of malaria and other parasites and traits commonly found on a blood film, including Chagas disease, microfilaria and sickle cell. The team will also explore its application to other sample types, such as sputum, feces and tissue, as well some forms of cancer.

“This collaboration, combining Global Good’s impact invention focus with Motic’s engineering, manufacturing and distribution capabilities, represents the type of innovative healthcare solution that is needed to improve health in emerging and low-income markets,” said Maurizio Vecchione, Intellectual Ventures’ Executive Vice President of Global Good and Research. “By distributing and commercializing an intelligent microscope, Global Good and Motic are creating a future where quality diagnosis of multiple diseases is within reach for everyone everywhere.”

“Malaria is one of the hardest diseases to identify on a microscope slide,” said David Bell, Director of Global Health Technologies supporting Global Good. “By putting machine learning-enabled microscopes in the hands of laboratory technicians, we can overcome two major barriers to combating the mutating parasite—improving diagnosis in case management and standardizing detection across geographies and time.”

“Our goal in integrating Global Good’s advanced software into Motic’s high-quality, affordable digital slide scanner is to simplify and standardize malaria detection,” said Richard Yeung, Vice President of Motic China. “Success with the most difficult-to-identify disease paves the way for the EasyScan product line to excel at almost any microscopy task and to detect other major diseases that affect developed and emerging markets alike.”

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Endoscope Tracking Software
T-DOC Endo

Print article

Channels

Critical Care

view channel
Image: The permeable wearable electronics developed for long-term biosignal monitoring (Photo courtesy of CityUHK)

Super Permeable Wearable Electronics Enable Long-Term Biosignal Monitoring

Wearable electronics have become integral to enhancing health and fitness by offering continuous tracking of physiological signals over extended periods. This monitoring is crucial for understanding an... Read more

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... 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 PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.