Role of quantum computing and AI in the healthcare industry



by Madhurjya Chowdhury


November 24, 2021

One of the major achievements of our time in the field of health. Medical research has advanced rapidly, extending life expectancy around the world. However, as people live longer, health systems are faced with increased demand, rising costs, and staff who strive to meet the needs of the patient.

An aging population, changing patient needs, a shift in lifestyle choices and the never-ending loop of innovation are just some of the relentless forces driving demand. Among these, the consequences of the aging of the population stand out. Health is one of the main achievements of our generation. Medical research has advanced at a breakneck pace, extending life expectancy all over the world.

What is quantum computing?

When you use the classic calculation method, your machine doubles in size every time the number of data doubles. Therefore, processing the large amounts of data required in many fields, such as healthcare, manufacturing, big data, and financial services, is difficult and time consuming.

Quantum computing doubles the potential of the computer with each additional cubit rather than increasing the size of the program. Without increasing their footprint, computers can gradually process massive amounts of data in near real time. Quantum computing is already being used in various companies with vast volumes of data to quickly solve previously intractable tasks.

The benefits of quantum computing are already being seen in healthcare, especially personalized medicine, where researchers and healthcare providers strive to predict health risks and find the best therapy for them. groups of people who share certain characteristics. Personalized medicine, compared to conventional medicine, is patient-centered care that analyzes a patient’s genetic profile to identify health risks and offer therapies tailored to their specific needs.

Specialists in this burgeoning industry increasingly depend on the unique ability of quantum computers to tackle complex data management challenges at high speed in order to efficiently process huge amounts of health data from millions of points. disparate data. This is in favor of the development of personalized medicine and its favorable impact on health systems.

Creation of a quantum computing policy

The researchers discussed their efforts to develop policies that address critical concerns about emerging technologies, highlighting the distinctions between capacity building, basic open baseline study, and applied competitive study with direct defense of state and commercial ramifications.

Foster discussed impending legislation that will expand the National Quantum Initiative by helping to create a larger pool of workers with the highly specialized skills required. The money will be used to stimulate military training as well as college programs related to quantum. The goal is to strengthen the Defense Ministry’s quantum staff, which will help attempt to harness quantum power and speed to solve the most difficult problems.

Three steps to think long term

Senior Director of Quantum Science, Dr Paul Lopata, Ph.D. shared his thoughts on what companies should do now to prepare for future quantum success. He pointed out that high-performance computing is made up of supercomputers, application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) and GPUs, rather than just one technique.

According to Lopata, companies should think long term with quantum computing and start thinking about the future now. In quantum computing, he revealed his 3 phases of long-term thinking:

1. Adhere to your company’s values

2. Develop your own specialty

3. Collaborate with organizations that share your values.

Improving well-being with AI and quantum computing

Quantum computing may be one of many breakthrough technologies that help us improve our ability to ensure healthy lives and promote the well-being of people of all ages, as well as help us build a sustainable society. longer term. Quantum computing combined with artificial intelligence allows us to address some of today’s most pressing concerns while creating recreating and scalable technological foundations and procedures as we strive to deliver healthcare global for all.

More data and connected data

Applications that impact the delivery of care, such as how existing tasks are performed and how they are disrupted by changing healthcare demands or the processes necessary to fulfill them. From the day-to-day operational improvement of clinical organizations to population health management and the field of healthcare technology, applications that support and expand healthcare delivery. It’s a broad term that encompasses natural language processing (NLP), image processing, and machine learning-based predictive analytics.

Increase in the number of use cases

While there are many questions about what’s really in AI in healthcare these days, this article looked at 23 apps currently in use and presents case studies for 14 of them. These examples show how AI can impact a wide range of areas, from applications that help patients control their own treatment, to online symptom detectors and electronic triage AI systems, to virtual assistants who can perform tasks in hospitals and at the bionic pancreas to help diabetic patients.

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