Tech UPTechnologyThese are some of the applications with AI that...

These are some of the applications with AI that help against COVID-19

World Economic Forum (WEF) says that every type of organization, whether small or large, public or private, is finding new ways to operate effectively and meet the needs of its customers and employees as distancing measures are maintained. social and quarantine caused by COVID-19. “Artificial intelligence (AI), and specifically machine learning technology, is playing an important role in enabling that change, by providing the tools to support remote communication, enable telemedicine and protect food safety.”

For health institutions and governments themselves, this includes, for example, the use of chatbots for non-contact detection of COVID-19 symptoms and to answer questions from the public. is a French startup that launched a chatbot to make it easier for people to find official government communications about COVID-19. Powered by real-time information from the French government and the World Health Organization, the chatbot assesses known symptoms and answers questions about government policy. With almost 3 million messages sent to date, this chatbot can answer questions without depleting the resources of health and government institutions. French cities such as Strasbourg, Orleans and Nanterre are using the chatbot to decentralize the distribution of accurate and verified information.

To avoid any disruption in the food supply chain, another example, food processors and governments need to understand the current state of agriculture. Ag tech startup Mantle Labs offers its state-of-the-art AI-powered crop monitoring solution to retailers free of charge for a period of three months to provide additional resilience and certainty to supply chains in the UK. The technology evaluates satellite imagery of crops to point out potential problems to farmers, and so retailers can better manage supply, procurement and inventory planning early on. The platform implements custom machine learning models to mix images from multiple satellites, allowing for near real-time assessment of agricultural conditions.

Machine learning is also helping researchers and practitioners analyze large volumes of data to forecast the spread of COVID-19, in order to act as an early warning system for future pandemics and identify vulnerable populations. Researchers at the Chan Zuckerberg Biohub in California have built a model to estimate the number of COVID-19 infections that go undetected and the consequences for public health, analyzing 12 regions around the world. Using machine learning and partnering with the Amazon Web Services (AWS) Diagnostic Development Initiative they have developed new methods to quantify undetected infections, analyzing how the virus mutates as it spreads through the population to infer how many transmissions have been lost.


At the start of this pandemic, Canadian startup BlueDot was one of the first to raise the alarm about a worrisome outbreak of respiratory illness in Wuhan, China. BlueDot uses artificial intelligence to detect disease outbreaks. Using its machine learning algorithms, BlueDot reviews news reports in 65 languages, along with data from airlines and animal disease networks to detect outbreaks and anticipate the spread of the disease. Then epidemiologists review those results and verify that the conclusions make scientific sense. BlueDot provides that knowledge to public health officials, airlines and hospitals to help them better anticipate and manage risks.

Machine learning is also helping leaders make decisions in the face of COVID-19. In March, a group of volunteer professionals, led by former White House chief data scientist DJ Patil, approached AWS for help and support a scenario planning tool that modeled the potential impact of COVID-19. to answer questions like, “How many hospital beds will we need? How long do we need to issue a confinement order? They needed to scale their model so that US governors could understand the volume of exposure, infection, and hospitalization to report better their response plans. In close collaboration with AWS and the Johns Hopkins Bloomberg School of Public Health, the group moved the model to the cloud, allowing them to run multiple scenarios in just a few hours and extend the model to all 50 states to help them make decisions.

Discover Medications

Machine learning can also help speed drug discovery to help treat COVID-19. BenevolentAI, a UK artificial intelligence company, directed its platform to understand the body’s response to coronavirus. They launched an investigation using their artificial intelligence drug discovery platform to identify approved drugs that could potentially inhibit the progression of the new coronavirus. They used machine learning to help derive contextual relationships between genes, diseases, and drugs, leading to the proposal of a small number of drug compounds. In just a few days, BenevolentAI discovered that Baricitinib, an approved drug for rheumatoid arthritis, turned out to be the most suitable candidate. Baricitinib is now in late-phase clinical trials with the U.S. National Institute of Allergy and Infectious Diseases (NIAID) to investigate its efficacy and safety as a possible treatment for COVID-19 patients.

All of these examples highlight the potential of machine learning to help solve big challenges. The challenge now, says WEF, is “to work together on a global scale to innovate and find new ways that machine learning can contribute to the fight against COVID-19.”

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