Posts

Showing posts from August, 2020

Artificial Intelligence in Coronavirus Drug and Vaccine Development - Part 2

Image
  In Part 1 of the article on AI in COVID Drug and Vaccine development, we discussed about how AI is used extensively in any drug and vaccine development. In this part, we will look deeper into how AI is specifically being used in COVID-19 drug and vaccine development. The recent applications of Artificial Intelligence for COVID-19 include the virtual screening of both repurposed drug candidates and new chemical entities. For repurposed drugs, the goal has been to rapidly predict and exploit interconnected biological pathways or the off-target biology of existing medicines that are proven safe and can thus be readily tested in new clinical trials. Scientists leveraged AI-derived knowledge graph, which integrates biomedical data from structured and unstructured sources. Similarly, other scientists published an application of their Deep Learning-based drug–target interaction model that predicted commercially available antiviral drugs that may target the COVID-19-related protease and hel

UNBOXING OF ASUS VIVOBOOK 14/ASUS LAPTOP

Image
 

Artificial Intelligence in Coronavirus Drug and Vaccine Development - Part 1

Image
  Coronavirus (COVID-19) has wreaked havoc across the world with more than 22 million infected cases and close to 800 thousand deaths as of 20th August 2020. The virus, coming from the family of Coronaviridae with its predecessors Severe Acute Respiratory Disease (SARS) and Middle Eastern Respiratory Syndrome (MERS), emerging in 2002 and 2013, respectively, has impacted human population across geographies with USA, Brazil and India emerging as the leading hotspots with more than 10 million confirmed cases each (USA has actually topped 27 million). Refer Bloomberg for current update on Mapping theCoronavirus Outbreak Across the World .     In recent years, machine learning has revolutionized many fields of science and engineering. It has largely transformed our daily lives, from speech and face recognition to customized targeted advertisements. The power of automatic abstract feature learning, combined with a massive volume of data, has immensely contributed to the successf

Data Science vs Machine Learning - Part 2

Image
  In the first part of the article on Data Science vs Machine Learning , we learned about the basic difference between Data Science and Machine Learning. Let us delve deep into the topic and also learn about deep learning and neural networks. We see a lot of data science projects in the online advertising industry. If analyzing data tells you, for example, that the travel industry is not buying a lot of ads, but if you send more salespeople to sell ads to travel companies, you could convince them to use more advertising, then that would be an example of a data science project and the data science provides conclusion and helps the executives deciding to ask a sales team to spend more time reaching out to the travel industry.    There is a good possibility that, within one company, you may have different machine learning and data science projects running simultaneously, both of which can be incredibly valuable.    You have also heard of deep learning. So, what is deep learning? Let's