In this code example using Python3, the pydicom library is used to handle the DICOM X-Ray images

​In this post, a simple Bayesian evaluation of Fort Detrick as the possible source of SARS-CoV2 is performed using public information.

A new branch called 'main' is created using the 'git branch [branch] [newbranch]' command. By passing the '-m ' argument to this git branch management command, the commit histories are copied to the new branch.

 One of the common mistakes made by decision makers during the process of incorporating artificial intelligence into their enterprise, is attempting to view artificial intelligence as either good or bad. I want to explain here why this approach could be an indication of fundamental ignorance about artificial intelligence systems.

 Bazel is the build and test automation tool from Google. It is touted as a fast, scalable, multi-language and extensible build system. Bazel is needed to create Tensorflow installers from the source-code. Here are the steps to install Bazel in Linux, from the source-code. The technique described here uses the bootstrap installation that does not require a pre-existing Bazel installation in the target system.

Working with large datasets in Python can often result in memory utilization issues. To reduce the memory utilization, the variables that are no longer immediately needed can be written to the disk. These variables can then be removed from the memory, thereby reducing the memory utilization. When these variables are needed at a later stage in the program, it can be easily restored from the disk. This strategy works for majority of the use cases, where the disk space is cheaper and more readily available than the main memory. In Python, restoring  a variable from the disk can be efficiently handled using Pickle.  Here is a concise Python3 code example for using Pickle to manage memory utilization, by using the strategy of restoring a variable from the disk.

The SARS-CoV2 virus is the pathogen responsible for the COVID19 pandemic. Even though the SARS-CoV2 virus is a new pathogen, its origin follows the principles of evolution. Therefore, it is very likely that the SARS-CoV2 virus will have genomic similarities with other viruses. I became fascinated by the possible genomic similarities of the SARS-CoV2 virus with other viruses, especially with the Measles, Mumps Rubella (MMR) group of viruses.  My focus on this particular group of viruses was due to the recent news that the MMR vaccine could be also effective against the SARS-CoV2.¹ My reasoning for the MMR vaccine to work against SARS-CoV2 being the shared genomic similarities between these viruses. These genomic similarities could have contributed to the shared immuno-physiological profiles, thus causing the MMR vaccine to be effective against SARS-CoV2.