During these weeks of harsh confinement we have read and listened to many news to find solutions for COVID19. I share with you how advanced data analysis or the use of Data Science & AI are helping to achieve this hard battle:
- World First for Artificial Intelligence To Treat COVID-19 Patients Worldwide
- How Artificial Intelligence Is Helping Fight The COVID-19 Pandemic
Previous posts
- THE IMPACT OF COVID-19 ON DIGITAL ACCELERATION & ADOPTION OF AI
- How artificial intelligence could help the fight against COVID-19
- Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
- AI-powered COVID-19 watch
- Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
- Surveillance for Adverse Events After COVID-19 mRNA Vaccination
- Artificial Intelligence (AI) applications for COVID-19 pandemic
- COVID-19 Detection using Artificial Intelligence
- Artificial Intelligence in COVID-19 Imaging Mismatched to the Clinic
- Exercise boosts immunity and makes vaccines more effective – new study
- Origin of Covid — Following the Clues
- Artificial intelligence model predicts which key of the immune system opens the locks of coronavirus
- AI and control of COVID-19
- Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
- Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
- The Future Of AI In Post-Covid Healthcare
- See how age and illnesses change the risk of dying from covid-19 (Estimated covid-19 risk if diagnosed in the United States)
- Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs
- The role of artificial intelligence in tackling COVID-19
- Leadership’s role in fixing the analytics models that COVID-19 broke
- How To Plan For The Post-Covid Future
- Warmer weather unlikely to reduce the COVID-19 transmission: An ecological study in 202 locations in 8 countries
- NeuroCOVID: critical review of neuropsychiatric manifestations of SARS-CoV-2 infection
- THE INFLUENCE OF PASSENGER AIR TRAFFIC ON THE SPREAD OF COVID-19 IN THE WORLD
- Global Data Science Project for COVID-19 Summary Report
- COVID19 Datasets and Machine Learning Projects
- COVID-19 Resources
- Artificial intelligence and the control of COVID-19
- COVID-19 Open Research Dataset Challenge (CORD-19)
- How cutting-edge AI is helping scientists tackle COVID-19
- Machine learning could check if you’re social distancing properly at work
- How the world’s largest and fastest supercomputers are being used to understand the coronavirus
- Disease modelers are wary of reopening the country. Here’s how they arrive at their verdict.
- Scientific fact-checking using AI language models: COVID-19 research and beyond
- Our weird behavior during the pandemic is messing with AI models (MIT)
- AI, Robots, and Ethics in the Age of COVID-19 (MIT)
- Could a neural network have predicted this pandemic’s impact?
- Artificial intelligence and the control of COVID-19
- Doctors are using AI to triage covid-19 patients. The tools may be here to stay
- How Artificial Intelligence is helping the fight against COVID-19
- Israel is using AI to flag high-risk covid-19 patients
- AI Uncovers a Potential Treatment for Covid-19 Patients
- Florida Tech, Air Force to Use Artificial Intelligence and Machine Learning to Respond to COVID-19
- Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool
- Leveraging AI to Battle This Pandemic — And The Next One
- How social media feels about the coronavirus
@noeliagorod | AI & Data Insights 
AI will never compensate for human greed, ignorance, and laziness. We have had inexpensive, effective outpatient treatment for covid that has been sabotaged by pharma through various tricks and deceptions. The scientific data is out there, but people (especially doctors!) haven’t bothered to look at it, preferring to accept the pharma narrative. So now doctors won’t prescribe effective treatment to outpatients, instead pushing pharma’s leaky, waning-in-effectiveness vaccines.
It’s a cluster, proving P T Barnum’s dictum (again) that you can fool most of the people most of the time.
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