We are living in a connected world where new technologies can bring benefit to mankind, Artificial intelligence (AI) became a regular facet in our everyday life. AI and machine learning algorithms are increasingly prevalent in the healthcare system, studies revealed that AI can perform as well as or better than humans, and, could play a pivotal role in infectious disease prevention, surveillance, and rapid-response during an outbreak .
Please see the links below.
https://www.nature.com/articles/s41591-020-0931-3.pdf
https://arxiv.org/ftp/arxiv/papers/2004/2004.12463.pdf
Here are some links to consider:
https://www.bbva.com/en/how-artificial-intelligence-can-help-fight-covid-19/
https://www.coe.int/en/web/artificial-intelligence/ai-covid19
https://www.healthcareitnews.com/news/how-ai-use-cases-are-evolving-time-covid-19
Hope this helps!
There are some good works with Matlab which you can find them as follows:
https://www.mathworks.com/solutions/covid-19-research-and-development.html
https://www.mathworks.com/matlabcentral/fileexchange/74676-fitviruscv19v3-covid-19-sir-model
https://www.mathworks.com/matlabcentral/fileexchange/74076-track-the-global-spread-of-covid-19-coronavirus-in-matlab
Dear Zubair Ahmed Ratan ,
Artificial intelligence is contributing to fight the COVID-19 pandemic. Projects directly related to pharmacology, medical and hospital care, or mobility analysis to reduce contagion have found a crucial ally in data science to make progress and deliver results.
https://www.bbva.com/en/how-artificial-intelligence-can-help-fight-covid-19/
Regards,
Shafagat
Thank you so much Shafagat Mahmudova for your kind reply.The project looks amazing, hopefully it will help us to serve humanity.
With Regards,
Zubair
More than 200 countries are suffering from attack of coronavirus. Many countries have gone into lock down ranging from 21 to 60 days.
According to World Health Organization (WHO),the COVID-19 virus spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, so it’s important to practice respiratory etiquette (for example, by coughing into a flexed elbow).
Prevention is the first cure for this,but we cannot only depend on that until a vaccine is developed.
How AI will help in research and prevention:
1 Prediction
2. Detection
3. Response
4. Recovery
Here are some answers already. Check Out these links:
https://ai.stackexchange.com/questions/21002/is-ai-already-being-used-in-the-drug-industry-to-combat-the-covid-19
https://ai.stackexchange.com/questions/18701/what-are-the-ai-technologies-currently-used-to-fight-the-coronavirus-pandemic
https://www.quora.com/How-can-artificial-intelligence-help-with-the-covid-19-epidemic
https://www.quora.com/Have-AI-and-Machine-Learning-helped-scientists-so-far-in-finding-cure-for-COVID-19
https://www.quora.com/How-can-the-power-of-artificial-intelligence-be-utilized-in-fighting-the-Covid-19-coronavirus
Dear Fazla Rabbi Mashrur , thank you so much for sharing your valuable ideas.
With Thanks,
Zubair
https://www.researchgate.net/publication/340887586_Is_Robotics_and_Artificial_Intelligence_the_future_of_Management_and_Economics
There are several research groups who are working on using AI for COVID-19.
You can find a list of COVID-19-related imaging data and AI resources in the following:
https://aimi.stanford.edu/resources/covid19
https://github.com/ieee8023/covid-chestxray-dataset
Yes, of course. Take the pharmaceutical product development process for example. It is a multivariate optimization problem. It involves the optimization of formulation and process variables. These relationships are difficult to model using classical methods. One of the difficulties in the quantitative approach to formulation design is the understanding of relationships between causal factors and individual pharmaceutical responses. Also, a desirable formulation for one property is not always desirable for the other characteristics.
The use of ANNs seems to be most suitable for dealing with complex multivariate non-linear relationships. ANNs can identify and learn correlative patterns between input and output data pairs. Once trained, they may be used to predict outputs from new sets of data. One of the most useful properties of artificial neural networks is their ability to generalise. These features make them suitable for solving problems in the area of optimization of formulations in pharmaceutical product development.
Please see the links below.
https://www.nature.com/articles/s41591-020-0931-3.pdf
https://arxiv.org/ftp/arxiv/papers/2004/2004.12463.pdf
Please also have a look at the following RG links.
Article Artificial Intelligence (AI) applications for COVID-19 pandemic
Article COVID-19 and artificial intelligence: protecting health-care...
Article Artificial Intelligence and Machine Learning to Fight COVID-19
Preprint Rapid and accurate identification of COVID-19 infection thro...
Artificial intelligence (AI) has an enormous scope of use in medical science including the COVID-19 pandemic situation. AI could be used in the diagnosis of the infection, contact tracing, projection of cases and mortality, reducing the workload of healthcare workers, development of drugs and vaccines, monitoring the treatment and prevention of the disease.
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