Engineering & A.I. Fights the Spread of COVID-19
Technology and medical companies have been using their data and utilizing machine learning (ML) and artificial intelligence (AI) to fight the spread of Coronavirus.
By using large amounts of medical data, scientists are using AI and machine learning to quickly find trends and treatments, such as discovering genes that make a patient prone to more severe symptoms or developing new molecules to block the protein receptors on COVID-19 (SARS-CoV-2), preventing it from spreading in the human body.
List of Artificial Intelligence Tools Developed to Combat Coronavirus
Here is a list of companies collaborating on AI solutions to combat COVID-19, as well as a brief description of the solutions they are bringing forward:
|Company(s) Involved||AI Solution|
|PrecisionLife, Nvidia||Using AI trained on Nvidia A40 graphics cards and CUDA software libraries, PrecisionLife used combinatorial analytics to discover new genes associated with severe symptoms.|
|Advantech||Advantech’s Video AI solution uses facial recognition and temperature scanners to transmit data to a real-time health monitoring center.|
|Omron robotics, Senova healthcare, Kraus Maschinenbau GmbH||German medical tech company, Senova, partnered with robotics experts from Omron and mechE engineers from Kraus to produce a rapid COVID-19 antibody test, which gives results within 10 minutes.|
|Siemens Healthineers||Siemens Healthineers developed a real-time AI predictive tool using data from over 14 thousand COVID-19 patients to help clinicians identify patients at risk of progressing to severe outcomes.|
|Bosch||Bosch is developing multiple new devices to help improve healthcare, including a COVID-19 test on a Bosch Vivalytic device, which allows medical workers to evaluate five samples simultaneously within 39 minutes.|
|Deargen||South Korean scientists at Deargen published results from a deep learning model called MT-DTI. By using simplified chemical sequences, the model predicted which FDA-approved drugs are most likely to block the proteins on the coronavirus.|
|Insilico Medicine||Hong Kong company Insilico Medicine is using an AI-based drug discovery model to generate thousands of molecules with the potential to bind to coronavirus proteins. Deep learning is used to narrow down the list to viable options.|
|SRI Biosciences, Iktos||Research center SRI International has partnered with AI company Iktos to discover and develop new antiviral therapies. Iktos’ deep learning model designs virtual molecules while SRI’s SynFini automated synthetic chemistry platform creates molecules.|
|Benevolent AI||Benevolent AI uses a large repository of medical information, including data from scientific literature extracted by ML, to identify 6 compounds that effectively block cellular pathways that allow viruses to penetrate cells.|
How SiliconExpert Guides AI Product Design
As manufacturers develop solutions to help combat COVID-19 and a host of other diseases using big data, the complexities of compliance regulations, EOL (End of Life) and procurement issues, are just a few of the many other roadblocks that can disrupt the design, development, and launch of the product.
To help companies avoid such disruptions, SiliconExpert maintains a database of over 1 billion electronics parts. Our database includes detailed information ranging from part specifications and alternate part options to lifecycle status and compliance data to help your business determine a product’s legality on a country-by-country basis.
Two of the more common high-performance hardware used in AI and machine learning, are top-tier GPUs manufactured by AMD and Nvidia, such as the Nvidia RTX 3090 Ti or AMD Radeon RX 6800 XT. Data on these two GPUs and over 1 billion more, can be accessed within SiliconExpert’s database.
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