MEDICAL

Anitoa Launches Molecular Test (PCR) for Monkeypox

Anitoa | June 30, 2022

Anitoa_Launches_Molecular
Anitoa Systems, market leader in fast, portable molecular testing, today announced the availability of a CE-marked turn-key PCR solution for testing Monkeypox. This portable solution includes one of a family small foot-print real time PCR instruments called the Maverick qPCR, with an extraction-free multiplex PCR reagent that tests OPXV/MPXV gene-targets in the skin lesion sample from patients suspected of infection with Monkeypox. Anitoa's Monkeypox test is designed to be carried out on-site, near patient, thus avoiding the need to transport patient samples to central labs for testing.

The World Health Organization reported that over 2,100 people in 42 countries have been diagnosed with monkeypox as of June 15, nearly all during the past two months. As of June 17, the CDC reports 24 confirmed monkeypox cases in California, US. Although The CDC reports that the threat to the general U.S. population is considered low, it is important for healthcare providers worldwide to have a preparedness plan.

Already having a presence in Africa, Anitoa Systems has started deloying its near-patient Monkeypox test in selected clinics in Africa. Anitoa is prepared to deliver its Monkeypox test solution world-wide when the need arises.

Anitoa's Maverick line of multiplex real time PCR devices are lab-accurate, fast, portable and calibration-free. They can operate on battery power (including car battery) and takes up very little bench space. Maverick qPCR instruments are built on Anitoa's proprietary CMOS biosensor technology. They have been used widely for on-site testing of food, environment samples and agriculture products due to its rugged all solid-state design, small form factor, and lower operation cost.

Anitoa's Monkeypox detection solution is part of an on-going program at Anitoa to develop tests to help combat a series of neglected tropical diseases in low resource settings. These tests currently include IVDR tests for Dengue, Yellow Fever, and Malaria

We are closely monitoring the situation of Monkeypox infections around the world and tailoring our test solutions to the needs of the people affected." 

Zhimin ding, CEO of Anitoa Systems, LLC

About Anitoa
Anitoa Systems, a medical device technology start-up established in 2013 with headquarter in Sunnyvale, California, develops highly integrated and portable bio-sensor devices for molecular detection, based on its unique CMOS image sensor-based fluorescence and chemiluminescence molecular imaging. By replacing the traditional bulky and costly photon-multiplier tube (PMT) and CCD-based optical sub-systems, Anitoa's ultra-low-light CMOS sensor technology enables a new generation of compact and inexpensive molecular testing platforms targeting infectious, oncology and cardio-vascular markers. Anitoa manufactures its qPCR instruments and test kits in Hangzhou, China and Fremont, California.

Spotlight

According to the Wall Street Journal, deep learning systems have a fatal flaw: there is no way to tell how a decision was made. CytoSavvy is a pathology informatics software company using artificial intelligence to attack the big data problem for drug discovery and personalized medicine with a novel shape detection methodology packaged as a browser-based solution.


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MEDICAL

Salipro Biotech Obtains Granted Patents in the United States and China for Direct Extraction of Membrane Proteins and Library Generation

Salipro Biotech | September 08, 2022

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CELL AND GENE THERAPY

RVAC MEDICINES AND A*STAR TO BUILD CAPABILITIES FOR mRNA PRODUCTION IN SINGAPORE

CBC Group | November 21, 2022

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MEDTECH

Lysando AG and Amicogen Inc. Sign General Development Agreement

Lysando AG and Amicogen Inc. | October 19, 2022

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INDUSTRIAL IMPACT

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Illumina, Inc. | October 12, 2022

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Spotlight

According to the Wall Street Journal, deep learning systems have a fatal flaw: there is no way to tell how a decision was made. CytoSavvy is a pathology informatics software company using artificial intelligence to attack the big data problem for drug discovery and personalized medicine with a novel shape detection methodology packaged as a browser-based solution.

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