United in Purpose, Sheltered in Place
Software Innovators Contribute to the COVID-19 Response
The coronavirus (COVID-19) global pandemic has united our communities, even as we adhere to shelter-in-place stipulations. Never have science and technology been more important in helping us navigate these extraordinarily challenging times to emerge stronger.
Here, we highlight three Intel software innovators who are pursuing worthwhile medical research projects to contribute to this critical effort.
Seeking Early Detection Using Medical Image Processing
With quick escalation and spread of the COVID-19 virus, early recognition is vital not only for prompt treatment, but also for patient isolation and effective public health containment and response. Subsequently, Moloti Tebogo Nakampe, a Stochastic Algorithm Engineer from the University of Cape Town in South Africa, has proposed the use of artificial-intelligence-based computer tomography (CT) image analysis for the recognition of COVID-19 infection, using technologies including Intel® AI Analytics Toolkit, Intel-optimized machine learning/deep learning frameworks, Intel® oneAPI Math Kernel Library and Intel® Distribution for Python and Intel® DevCloud.
Identifying Effective Treatment by Applying Computational Methods
Given the lack of effective drugs and vaccines to treat COVID-19, Ho Leung Ng, Associate Professor of Biochemistry and Biophysics from Kansas State University, is aiming to develop and apply computational methods to rapidly identify potential drug candidates for treatment of the disease, aided by technologies including the Intel oneAPI Math Kernel Library and Intel Distribution for Python. To accelerate drug discovery in the face of this global emergency, Ng’s approach focuses on both investigating clinically-used, well-studied experimental drugs that have a higher chance of efficacy without toxicity or side effects, and employing new machine learning strategies to generate and evaluate drug candidate molecules.
Slowing the Spread through Computer Vision and Deep Learning Techniques
Alessandro de Oliveira Faria, a software developer at Oiti Technologies in Brazil, is currently working on a project that employs artificial intelligence to minimize contagion of COVID-19. The project uses algorithmic data to obtain an estimate of the number of people and vehicles traveling within a specific region and calculates the necessary distance between individuals to reduce spread of the virus, supported by Intel® Distribution of openVINO™ toolkit.
We are proud to support them in their endeavors and hope all of our colleagues and communities around the world are keeping healthy and staying safe.