https://github.com/ajsanjoaquin/COVID-19-Scanner

https://github.com/ieee8023/covid-chestxray-dataset/

The use of pattern recognition techniques can be helpful for localization the existing of the cells of the virus in the body for example Russia uses facial recognition to tackle Covid-19. City officials are using a giant network of tens of thousands of cameras - installed with facial recognition software. An interesting New York Times article last week posited that governments’ use of digital surveillance techniques for the COVID-19 response – such as the tracking of geolocation to gauge quarantine restrictions – would lead to more pervasive digital tracking in the future. On a related note, there have been reports of an increased use of facial recognition technologies as governments use digital tools to respond to the outbreak.

Al can helps to recognize the location of existing ceels of the virus covid 19 on the humans body by facial recognition technologies and can neural netwok also may be avoid or attempt to learn the netwok the available treatment and to avoid increesed the cells of covid_19 on the humman's boody.

Preprint Blockchain and AI-Based Solutions to Combat Coronavirus (COV...

The above preprint from my colleague provides many criteria on this topic.

Hello Ahmed Ismail Ebada ,

I believe that both Machine and Deep Learning is currently a hot topic and has attracted many people to do research in this area and find numerous and interesting use-cases. Regarding COVID-19 pandemic, classification algorithms would be useful to distinguish the affected cases from unaffected ones. This applies to regions too. Another thing is you can also predict how this classified population is varying over a period of time (over this quarantine). Very large population data sets would require the usage of deep neural networks so as to train more amount of data. Additionally, AL tools can also assist in recommending the researchers regarding the appropriate medicines for the concerned person and for the right disease (when they have their vaccines in hand and wanted to know the best one for a particular person).

I also observe that cryptography will be an important area as this will help in securing authentic data about the details maintained in different websites such as affected, unaffected, susceptible areas, and so on. Maintaining a highly secure database will be an important step towards securing such valuable information as exploiting inaccurate data may easily jeopardize the psychology of the society, especially during such critical situations.

There is an event called "Network Epidemiology Online Workshop Series - Understanding and Exploring Network Epidemiology in the Time of Coronavirus " currently going on in which they have invited individuals from a multitude of specialties on looking at unique ways of combating the COVID-19 issue. There are a ton of datasets that have already been shared. This is an excellent place to start. Don't be intimated by the Biological Aspects of the theme. Computer Science plays a major role in every area of the sciences.

http://www.combine.umd.edu/network-epidemiology/

Computer science can develop apps that help with contact tracing, testing and warning in advance about a hotspot of the disease. All these can be achieved using AI algorithms.

Thanks for all of your interesting answers

Have a look at http://news.mit.edu/2020/how-well-computers-symptoms-diseases-0108

https://www.sciencedirect.com/topics/engineering/computer-aided-diagnosis

Dear Ebada

If we cant detect correctly the COVID19 virus by Computer science, we can at least stopping it from growing. One of the most interesting applications of computer science in this case is the re-programmed robots for decontamination.

As we know, the COVID19 can steak in surfaces, so a good contamination can be a great element of limiting the growing of the pandemic

The deep learning techniques applied on social distancing data and on CT scan images can help contain Covid-19

Natural Language Processing Parser can help in the development of interactive chat bot that can give preventive measures, symptoms, FAQs of Covid-19, Emergency contacts for all the districts, provinces or states and general toll-free number of ministry of health, live information on cases of Covid-19 patient(s), infection rate(s) and many more

As mentioned above, computer science can build many applications that could warn people from this virus!

I think one can use cellular automata to design the antidote to the SARS-CoV-2!

I have worked extensively worked on cellular automata and have worked on how to convert neural nets to "learning cellular automata" as a part of my undergraduate thesis!

Preprint Formal verification of deep neural networks using learning c...

So with neural nets based AI techniques on learning the virus configurations, I can always construct preliminary CAs that can do the same! Perhaps, to do even better, I can use the 4-tuple definition of cellular automata, "learn" the neighbourhood of the cell of the grid and also the transition function also. To be precise and complete, I am representing a single "genome" of the virus as a single cell of the CA! This way, I can theorise the scalable parallelisation of the learning algorithm in a much-closer-to-reality fashion! This way, I would simply need to depend a large number of simpler ALUs instead of relying on several iterations of computation upon the same (perhaps more complicated and deeper) neural ALU grid! That way, I can somehow think of converting that learning CA as a "dynamical manifold" that would prove and substantiate all or most of the Markov chain based models that are currently prevalent in the literature!

To cut the long story short, I am suggesting a "computationally deterministic" dynamical model that can be scalable parallelised that can track/hunt down the genomic activity, which (at least I believe) lies at the heart of the antidote pathway design! (Although, I am a complete novice!)

Please let me know if I am astray at any point in the above suggestion!

With the help of technologies like IoT, AI, ML,DL ,Big Data, Blockchain etc.

IoT, AI, ML, DL etc

By developing model on infection rate and identify safe zone

Please have a look at the link below:

Preprint Computer Vision for COVID-19 Control: A Survey

For example, ICT and Industry 4.0 are used to improve predictive analytics used to analyze the development and to develop development forecasts for complex, multifactorial processes, including predictions for the development of an epidemic and / or pandemic SARS-CoV-2 Coronavirus (causing Covid-19 disease). In this way, knowing the future, forecasted pace of development and / or expiration, you can better prepare, adapt your healthcare system, apply specific socio-economic policies to counteract negative economic effects, etc.

Best regards,

Dariusz Prokopowicz

It can play a role in Corona related vaccine development, see for example : https://www.wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/

https://d1wqtxts1xzle7.cloudfront.net/42803702/Artificial_intelligence_systems_based_on20160218-25820-1kevtk6.pdf?1455806982=&response-content-disposition=inline%3B+filename%3DArtificial_intelligence_systems_based_on.pdf&Expires=1593865367&Signature=ZXapUCBVpAGog14rDUaokLVoZj0I36x1swU7S-bohSfTWKMz94LWCwbPUq8ILx5Q994Du2N-~CwfBZMSKzwwu0jYvujEBnV85YQ~IrYXOTphcLXF7-KrRe4puRT-T-DHPoUsprDkrdpMgJNrVF83UHuuzqvbLLASSXbBUYrPVywJoVfcCFNMYFs~qijwfsUg2kGj2oCH48v1DRl2my6iWlbSksF8Z6ORCRSI~-ly3qGOnxlDSUU9BmvnAjOCoAsZumIm7SoFfroK1SjYdoxXj1-GOw2GWFX16DeKwhR7v327-3F0dpkLzZkOIEMr1WtxcOYUYpXCVaNG4~C2TRGxOA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA

Article Artificial Intelligence (AI) applications for COVID-19 pandemic

Article Artificial intelligence and immunotherapy

A large datasets related to covid 19 still required and necessary for a more reliable results of AI models

Thanks for sharing your thoughts

Yes, a large dataset are required to control the impact of Covid-19

AI tools can help in many different ways. They are being used to predict the spread of the coronavirus, map its genetic evolution as it transmits from human to human, speed up diagnosis, and in the development of potential treatments. But in all these cases, AI is only effective if it has sufficient examples to learn from. See the below link:

https://sciencebusiness.net/covid-19/news/computer-science-versus-covid-19

Dear Ahmed Ismail Ebada,

By using ICT and Industry 4.0 information technologies to improve forecasting the development of the SARS-CoV-2 (Covid-19) coronavirus pandemic and improve pandemic risk management systems, improve the applied and create new anti-pandemic security instruments, etc.

Best wishes,

Dariusz Prokopowicz

Computer play very important role in the controlling of covid-19 pandemic. Modern Hospitals have digital labs, through which they can observe that how Corona virus transfer from one person to another, and how it effect the person. Computer can help them to make a vaccine also.

Information technology,genetic evolution diagnosis, tranfer and digitally treatment and computer ied labs very important quickly diagnosis and treatment in covid 19 virus .