Chapter 6 Can quantum computers revolutionize health systems?
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Sebastian Mezei
Abstract
Modern medicine is inconceivable without medical equipment, achieved because of the technological revolution in the field, which provides specialists with increasingly sophisticated and advanced tools to support the provision of the highest quality medical services for the benefit of patients. Nowadays, the use of Computer Tomography (CT), Magnetic Resonance Imaging (MRI), positron emission tomography (PET-CT), angiograph, various medical robots for diagnosis, treatment, surgery, as well as the use of the multitude of personal mobile devices dedicated to health monitoring, have become commonplace due to an accelerated evolution in the medical field. The era of patient medical records with hundreds of yellowed pages and other handwritten medical documents is beginning to become history, replaced by digital files that can be easily stored and transmitted for analysis by specialists. All this has been made possible by the refinement and widespread use of personal computers and dedicated applications that have evolved over time and are interconnected in networks across the globe. But what do they all have in common? Big Data, which consists of information stored in electronic format, with exponential growth over time, and their storage, analysis and processing is a real challenge even for the most advanced computing systems. The industry has reached a point where traditional computing might not be enough for this use case and there is an increasing need to explore different ways of achieving high speed data processing using quantum computers. This paper aims to analyze the medical fields in which quantum computers have begun to be used, as well as the development possibilities and applications in which they could revolutionize health systems. In healthcare, several clear directions are already outlined where quantum computers can make a difference: in pharmaceuticals to accelerate the discovery of new drugs and vaccines, DNA sequencing, molecular simulations, protein folding, diagnostic assistance, radiotherapy, predictions, and health simulations. On the other hand, in an era of digital technology, where electronically stored data is multiplying exponentially, with increasing cyber threats in the healthcare sector, protecting it will be of paramount importance.
Abstract
Modern medicine is inconceivable without medical equipment, achieved because of the technological revolution in the field, which provides specialists with increasingly sophisticated and advanced tools to support the provision of the highest quality medical services for the benefit of patients. Nowadays, the use of Computer Tomography (CT), Magnetic Resonance Imaging (MRI), positron emission tomography (PET-CT), angiograph, various medical robots for diagnosis, treatment, surgery, as well as the use of the multitude of personal mobile devices dedicated to health monitoring, have become commonplace due to an accelerated evolution in the medical field. The era of patient medical records with hundreds of yellowed pages and other handwritten medical documents is beginning to become history, replaced by digital files that can be easily stored and transmitted for analysis by specialists. All this has been made possible by the refinement and widespread use of personal computers and dedicated applications that have evolved over time and are interconnected in networks across the globe. But what do they all have in common? Big Data, which consists of information stored in electronic format, with exponential growth over time, and their storage, analysis and processing is a real challenge even for the most advanced computing systems. The industry has reached a point where traditional computing might not be enough for this use case and there is an increasing need to explore different ways of achieving high speed data processing using quantum computers. This paper aims to analyze the medical fields in which quantum computers have begun to be used, as well as the development possibilities and applications in which they could revolutionize health systems. In healthcare, several clear directions are already outlined where quantum computers can make a difference: in pharmaceuticals to accelerate the discovery of new drugs and vaccines, DNA sequencing, molecular simulations, protein folding, diagnostic assistance, radiotherapy, predictions, and health simulations. On the other hand, in an era of digital technology, where electronically stored data is multiplying exponentially, with increasing cyber threats in the healthcare sector, protecting it will be of paramount importance.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
