The effective management of human bloodstream remains to be the prime focus for the
clinicians over years and it impose greater challenges when it comes to real-time solution. In …

Thrombosis is one of the leading causes of death worldwide. Out of four, one person is dying
of thrombosis; yet, the seriousness of this disease is underappreciated. Its early prediction …

Deep learning applications with robotics contribute to massive challenges that are not
addressed in machine learning. The present world is currently suffering from the COVID-19 …

This work presents a new approach with details on the integrated platform and hardware
architecture for nanorobots application in epidemic control, which should enable real time in …

In the present day, there are many diseases which need to be identified at their early stages
to start relevant treatments. If not, they could be uncurable and deadly. Due to this reason …

Bio-nanotechnology has become a hopeful area of research that is bringing radical
advancements and changes in the current century of technological mutiny. It is a one part of …

The COVID-19 pandemic has hit the global at a colossal scale. With worldwide reported
cases of 5.34 million it has led to severe impact on humanity. Being a highly contagious …

Headed for the end of 2019, emergence of a Severe Acute Respiratory Syndrome called
COVID-19 has created International Public Emergency and caused a worldwide outbreak …

In the current years, artificial intelligence is bringing a great revolution in different fields,
especially in the field of medicine and healthcare. It is witnessing and gaining much …

A hybrid Medical Decision Support System (MDSS) is proposed for predicting and
diagnosing Coronary Artery Disease (CAD). Artificial Neural Network (ANN) and Adaptive …