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Press Release – July 2, 2020   ​New preprint demonstrates a rapid and versatile method for improving detection of SARS-CoV-2

Ceres Nanosciences and its collaborators at George Mason University have developed a Nanotrap® particle method that significantly improves detection of SARS-CoV-2. In a preprint posted on June 25, 2020, the teams describe how Nanotrap particles enable a rapid method for capturing and concentrating heat-inactivated and infectious SARS-CoV-2.  The simple method described in the preprint takes as little as 10 minutes to prepare SARS-CoV-2 RNA for downstream testing and obviates the need for commercial nucleic acid extraction kits. Using contrived samples with heat-inactivated and infectious SARS-CoV-2, the authors demonstrated significant (5- to 25-fold) improvements in real-time RT-PCR detection of the virus...

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Ceres Nanosciences Receives $225,000 NIH SBIR Phase I Grant to Improve Serum Quality for Cell and Tissue Engineering

MANASSAS, Va. — January 31, 2020 — Ceres Nanosciences, Inc. (Ceres) today announced it has been awarded a $225,000 Phase I SBIR grant from the NIH to apply the Nanotrap® technology for improved quality testing and for the decontamination of animal serum used in cell and tissue culture applications.   According to a 2019 Genetic and Engineering News report, the cell and tissue engineering market generated an estimated $9 billion in product sales in 2017(1).  Because animal serum is a source of many of the required nutrients and growth factors for cell and tissue manufacturing, it is a key supplement added to...

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JF Healthcare’s AI Technology Is First to Beat Radiologists in Stanford Chest X-ray Diagnostic Competition

CONCORD, Mass., Aug. 20, 2019 /PRNewswire/ — JF Healthcare, a medical diagnostic start-up based in Nanchang, China, is the first organization in the world to beat Stanford University radiologists in a competition designed by the Stanford Machine Learning group to compare the capability of artificial intelligence (AI) to human experts in interpreting chest x-rays. The AI team from JF Healthcare recently achieved an average AUC score (a measure of diagnostic accuracy) of 0.926 and is currently ranked No. 1 in the world on Stanford’s CheXpert leaderboard. Significantly, the JF team outperforms all three Stanford radiologists on the test set, demonstrating the...

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CheXpert PR

Background In the United States, about half of all radiographic exams are X-rays, mostly of the chest. In other developing countries around the world, chest X-rays are even more widely used, for example, to detect lung cancer early, stop the spread of tuberculosis, and support the responsible use of antibiotics for pneumonia. Chest X-ray is the “bread and butter” for modern medical imaging to some extent. Because of the critical role of chest X-ray, on January 2019 the Machine Learning (ML) group at Stanford University lead by Dr. Andrew Ng released a large-scale chest X-ray dataset CheXpert for research, which...

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CHINESE AI START-UP BEATS STANFORD TEAM IN X-RAY DIAGNOSTIC COMPETITION

The company’s goal is to make AI-driven x-ray analysis available across significant swathes of China’s rural areas. Jeff Rowe | Aug 23, 2019 11:52 am The Stanford Machine Learning group, based at Stanford University, recently launched a competition designed to compare AI’s capability in interpreting chest x-rays to the capabilities of human experts from Stanford.  And the humans lost. The winner was an AI team from JF Healthcare, a medical diagnostic start-up based in Nanchang, China, which outperformed all three Stanford radiologists involved with an average AUC score (a measure of diagnostic accuracy) of 0.926. According to a JF statement, the test demonstrates...

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Ceres Nanosciences, University of Virginia, and George Mason University receive $600,000 award from the Virginia Catalyst to develop a Nanotrap® liquid biopsy collection device for cancer diagnostics

MANASSAS, Va. — June 4, 2019 — Ceres Nanosciences, Inc. (Ceres), University of Virginia (UVA), and George Mason University (Mason) today announced the receipt of a $600,000 award from the Virginia Catalyst for the development of a Nanotrap® liquid biopsy collection device. This award will be matched by $1.2 million in product development funding by Ceres Nanosciences. Cancer is the second leading cause of death world-wide and the global cancer burden is expected to grow to 23.6 million new cancer cases by 2030. Tissue biopsies are the current gold standard for detecting and obtaining information about cancer. By collecting cells from tumors, doctors can...

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