Using AI to Help Fight COVID-19

At Xyonix, our custom AI models can help the fight against COVID-19 by predicting disease outcomes, preventing infection, and improving vaccine compliance.

Our world has been turned upside down by COVID-19. With everyone from healthcare providers to policy makers working to reduce infections and improve outcomes, AI serves as a powerful tool to tackle some of the most important issues.

In one of our recent projects, we worked with Dr. Dennis Tenen from Columbia University to study vaccine-hesitant language online with the goal of improving vaccine compliance. Read his short testimonial below, and click [more] to learn more about the project.

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Dennis Tenen

“Deep is an expert in NLP and machine learning. His team gave us regular progress updates, milestones, and deliverables, and showed a high level of professionalism. I’m very happy with our partnership.”

Dr. Dennis Tenen, Professor at Columbia University [more]

Like everyone else, we at Xyonix are anxious to help out. If you have any COVID-19 related data, and a hypothesis on insights that can be automatically extracted from it, drop us a note HERE. We’d love to see if there’s a way we can help.

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Using AI to Remotely Assess Mood, Emotions & Mental Health

How we communicate and conduct business will likely forever be changed as a result of the COVID-19 pandemic. While telecommunication technologies have helped ease our burden, we simultaneously face a looming mental health crisis. With a burdened healthcare system and a large population at risk in isolation, innovative solutions are required to help those in need and to facilitate more informed communication.

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Predicting Covid-19 like the Weather, Using AI to Harness a Network of Health Sensors

The national weather service operates a massive sensor array including sensors located on weather balloons, in airplanes, on land, in sea buoys, and from satellites. Just like a confluence of variables can indicate a hurricane is on the way, we believe an infectious disease forecasting service powered by AI can predict the likelihood of a new wave of C19 and other infectious diseases.

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Using AI to Predict Influenza, C19 and Other Infectious Disease Rates

AI can be used to generate regional forecasts of infectious disease rates that, in turn, empower government and other leaders to make prudent social distancing and other preemptive modifications. As a case study, we will look at influenza data supplied by the Centers for Disease Control. Our goal is to use ILI data to train a model that will accurately predict future seasonal flu levels.