Why Health Care Applications Need Supercomputers?

Why Health Care Applications Need Supercomputers?

Supercomputers are those mega devices which can perform billions of operations and computing calculations per second. Typically, supercomputers are used to solve complex problems that are so hard to be handled with regular desktop computers. i.e., they can be used to make climate forecasts; by processing a gigantic database. They also can study the universe or predict the effects of a nuclear explosion, do flight simulations, analyze seismic movements, and more.

 

Using the Aziz supercomputer, HPCC will guide your health care entity in taking the perfect steps to deploy end-to-end HPC Solutions to great effect alongside adopting the digital health technologies.

 

Moreover, the HPCC team has a highly critical role herein with the diverse and ample expertise they have in many scientific areas, which will enable them to offer different consultation services according to the clients’ requirements.

 

The Role of Supercomputers in Digital Health Technologies

 

Nowadays, supercomputers are playing a significant role in developing digital health technologies. With the advantage of its fast computing system, computer science has taken a great leap over the past two decades with massive data access and gigantic analytical approaches, which allow processing of big data in the medical science field.

Although all these significant scientific advancements that we witness recently, the health care sector continues to be one of the inefficient and expensive areas in the world. Using supercomputers in the digital health care sector is essential to keep it at pace with today’s fast-changing world. 

Managing New Waves of Health Care

Recognition of rare and chronic diseases and health pattern may help us receive faster and better medical services. For example, certain biomarker data from RNA/DNA analysis allows us to predict many disorders way before its commencement. However, the huge database it encodes requires equally developed supercomputers to be able to process and analyze using faster algorithms.

These biomarkers and metabolic data analysis also provide valuable hints for oncological studies (i.e. we can predict breast cancer in advance) as well as, predict many genetic disorders (i.e. congenital or recessive).

Moreover, it helps to assist doctors for evidence-based diagnosis, which saves time compared to manual data crunching, besides its lower cost of the medical facilities. A supercomputer can process the entire database from clinical trials, experimental lab notes, and patients’ health history, which definitely helps to verify the preliminary results.

Big Data in Medicine

No doubt that big data has revolutionized the way health care sector conducts. Currently, it is hailed as the gate of the health care future; most of the technology firms are investing in big data analytics and Artificial Intelligence with foresight into the future. 

As well as, the Radiology medicine department also faces many significant challenges regarding generating and accumulating extensive clinical data. That’s why supercomputers can help in meeting the big data analysis requirements for this function.

What is Big Data?

Big data refers to the emerging technologies that are designed to extract value from data having four Vs characteristics; volume, variety, velocity, and veracity. Big data are hard to be managed, stored, and analyzed, besides its huge capacity to help in “evidence-based” decision-making, having a high impact on business operations.

In the health care sector, data ranges from clinical data, individual patient data medical records, and other data from different medical sensors. All these electronic health data is hard to be managed with regular data management tools. Big data is being used to support clinical decisions, predict epidemics, improve the quality of life and avoid preventable deaths. Consequently, big data in the health care market is predicted to grow at tremendous rates due to its importance.

Artificial Intelligence Services at HPCC

While science fiction movies often portray “Artificial Intelligence” as robots with human-like shape and characteristics, AI witnessed rapid progress during the last decades. It can encompass anything from Google’s search algorithms to autonomous weapons. As well as, AI applications can be accommodated to data mining, utilizing machine learning, enhance computing vision, and deep learning algorithms.

Artificial Intelligence can also be used to build extensive systems for most of the commonly used software packages in the above-mentioned areas, which makes it able to drive innovation in blurring the line between High-Performance Computers and AI, in addition to the integration with the current workloads and required technology segments.

With the Aziz supercomputer, your business will be properly guided to take the right steps that deploy end-to-end HPC solutions to great effect alongside adopting AI technologies.

The Aziz supercomputer contains about 496 computing nodes equipped with 12,000 Intel® CPU cores. In addition, 2 nodes equipped with NVIDIA Tesla K20® GPUs and another 2 nodes equipped with Intel® Xeon-Phi accelerators. This heterogeneous architecture of Aziz can help researchers, individuals, enterprises, and the academic community to implement their own programs and systems that can handle the computationally intensive problems with different architectures.