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What Will Quantum Computing Really Bring to AI in Healthcare?

The marriage between quantum computing and AI promises to be the next big thing in IT, probably no more so than how it will impact and advance AI applications for healthcare.

AI is already being used in many areas of healthcare, from analyzing medical images to developing personalized treatment plans for patients. While quantum computing is still in its infancy, it has the potential to solve complex problems much faster than classical computers. When these two technologies are combined as is beginning to be realized, the possibilities are endless, particularly in healthcare delivery and drug research.

The revolution is already beginning. For example, Moderna and IBM recently announced a partnership that will explore various use cases of quantum computing within the life sciences, particularly mRNA medicine design.

As part of the collaboration, both organizations will employ MoLFormer, an AI-based foundation model, to predict the properties of molecules and gain insights into the characteristics of potential mRNA medicines.

What Makes Quantum Computers So Special?

Quantum computing operates by substituting classical computing’s bits with quantum bits, commonly referred to as “qubits.” Unlike bits, which can only store binary values of 0 or 1, qubits can exist as a superposition of both 0 and 1 simultaneously. This is made possible through a phenomenon in quantum mechanics called entanglement. This gives them computing power vastly superior to even today’s fastest supercomputers. Quantum computers’ ability to process vast amounts of data very quickly and very intuitively makes them particularly useful for advanced AI algorithms, particularly the kinds that are used in healthcare diagnostics and medical research where analyzing vast amounts of data for often minute details are required.

Let’s drill down on what quantum computing and AI when combined, can mean for healthcare delivery and for drug discovery.

Healthcare Delivery

Quantum computing can be used to process large amounts of data from medical records, electronic health records, and other sources to provide personalized healthcare services. The use of AI and quantum computing in healthcare delivery can also help in developing predictive models that can forecast the likelihood of certain diseases or health conditions. This information can help healthcare providers take proactive measures to prevent or treat diseases early, thus reducing the overall cost of healthcare and improving patient outcomes.

Additionally, AI can be used to develop chatbots that can provide immediate responses to patients’ queries and concerns. Chatbots can help reduce the workload on healthcare providers and provide quick and efficient responses to patients’ questions, thus improving patient satisfaction and overall healthcare experience.

Drug Research

As evidenced by the announced partnership between Moderna and IBM, drug discovery and pharmaceutical research is where quantum computing and AI is posed to make their most significant leap.

The development of new drugs is a complex and time-consuming process that can take years or even decades to complete. However, the combination of AI and quantum computing can significantly speed up this process. Quantum computing can be used to simulate chemical reactions and predict the properties of new molecules, making it possible to identify promising drug candidates faster.

AI can then be used to analyze the vast amounts of data generated by quantum computing simulations to identify the most promising drug candidates for further testing. This approach can significantly reduce the time and cost of drug development and bring new treatments to market that much faster.

The combination of AI and quantum computing has the potential to revolutionize healthcare delivery and drug research. It can help healthcare providers deliver personalized healthcare services, develop predictive models, and improve patient outcomes. It can also significantly speed up the drug development process and bring new treatments to the market much faster. While there are challenges that need to be addressed, the possibilities are endless, and the future of healthcare looks promising with the integration of these two technologies.

How Big Rio Can Help

Quantum computing is still very much an emerging technology with large-scale and practical applications still a way off. However, the technology is steadily graduating from the lab and heading for the marketplace. In 2019, Google announced that it had achieved “quantum supremacy.”

Much like the partnership between Moderna and IBM BigRio has partnered with our sister company, Citadel Discovery, to use AI to advance drug discovery. Citadel was launched in 2021 with the purpose of giving a kind of “open access” to the data and technology that will drive the future of pharma research streamlining and lowering the costs of drug discovery and biological research.

The costs of drug discovery continue to rise, with current estimates exceeding $2 Billion. Not to mention that bringing a drug successfully through all clinical trial phases takes, on average, 10-12 years in research and development. Artificial intelligence and machine learning in drug discovery hold the key to reducing these costs and timelines.

You can read much more about how AI is redefining drug discovery in my new book Quantum Care: A Deep Dive into AI for Health Delivery and Research. It’s a comprehensive look at how AI and machine learning are being used to improve healthcare delivery at every touchpoint, with a particular emphasis on drug discovery and Pharma research.

Rohit Mahajan is a Managing Partner with BigRio. He has particular expertise in the development and design of innovative solutions for clients in Healthcare, Financial Services, Retail, Automotive, Manufacturing, and other industry segments.

BigRio is a technology consulting firm empowering data to drive innovation and advanced AI. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. If you would like to benefit from our expertise in these areas or if you have further questions on the content of this article, please do not hesitate to contact us.

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What is Quantum Biology, and How Is it Changing Medicine for the Better?

AI and “quantum biology” may hold the key to changing medicine forever, maybe even the eradication of all disease!

Imagine a world where cancer, Alzheimer’s disease, Parkinson’s even aging itself have been defeated or can be treated in such a way that everyone can enjoy a long life of strength, vitality, and good health. That is the ultimate promise of artificial intelligence in healthcare, and it is AI combined with quantum computing which is creating the emerging field of “quantum biology” that could make that world a reality.

At its most basic meaning, the term “quantum” refers to something that is so small that it borders on the infinitesimal. In quantum physics, that means the smallest particle possible that still maintains the properties of the matter it is part of. In quantum biology, it may reveal the deepest level of understanding of how the body works and the real impact of disease that has thus far eluded even the most advanced medical science — and quantum computing will help.

Without getting into heavy details on how — quantum computing has processing power and memory capacity that is many orders of magnitude higher than conventional computers. With its ability to process massive amounts of data quickly, quantum computing, when combined with AI algorithms, may provide researchers with the in-depth information they need to unlock the innermost secrets of the human body.
One area where this is, albeit in its infancy, but already occurring is in Pharma research and drug discovery.

With quantum technology, the hope is that drug-trial simulations can eliminate the high development costs, reducing the barriers that prevent pharmaceutical companies from investing in developing treatments for rare diseases, speeding up trials, and improving patient outcomes.

This is especially true for some of the rarest yet most devastating conditions. It is an unfortunate economic reality that innovative treatments for rare diseases, no matter how fatal or debilitating they can be – rarely get developed because it is just too costly, relative to the people that would benefit and therefore pay for any drugs that were developed. But, with AI and quantum computing significantly reducing the costs of drug discovery at every phase – that profit motive can be removed. The development of effective treatment for all diseases, no matter how rare, could be possible, which could radically change healthcare for the better.

AI, Quantum Computing, and “The Virtual Patient”

Besides drug discovery, the other area in healthcare where AI combined with quantum computing is likely to make the biggest paradigm shift is in cognitive digital twin technologies or CDT. In CDT, a “digital twin” of a real-world system is created using AI algorithms. Digital twins are already being used to monitor the “healthspan” of high-value mechanical systems such as cars, boats, and airplanes. NOAA recently announced it is using AI to develop a “digital twin” of the Earth itself to track global climate change.
CDT is already being used in healthcare through the creation of “virtual organs,” which are being used in drug trials. But the Holy Grail of personalized healthcare is the creation of a digital twin of yourself. Just as digital twins of helicopters and fighter jets are used to monitor systems breakdowns for preventive maintenance – once each of us has our own cognitive digital twins, our doctors can monitor us for health issues before they become major concerns.

A “digital patient” will also make very specific and targeted therapeutics a reality, as your doctor can try different drugs on you virtually to see what is the most effective treatment without any fear of side effects or complications. Quantum computing will make the digital twinning of something as complex as the human body possible.
Currently, the pharmaceutical industry, and indeed all of healthcare by its very nature, has to take a one-size-fits-all approach. Every patient with a condition is treated with the same few drugs or treatment options. But know not all drugs are not effective for everyone. Quantum tech will allow doctors to personalize medicines to create uniquely tailored treatments for their patients, which will be a fundamental shift in healthcare.

How Big Rio Can Help

Quantum computing is still very much an emerging technology with large-scale and practical applications still a way off. However, the technology is steadily graduating from the lab and heading for the marketplace. In 2019, Google announced that it had achieved “quantum supremacy,” IBM has committed to doubling the power of its quantum computers every year, and numerous other companies and academic institutions are investing billions toward making quantum computing a commercial reality.

Quantum computing will take artificial intelligence and machine learning to the next level. The marriage between the two is an area to pay very close attention to for startups as well as for where Big Tech will be going over the next five to ten years, and where ever this road can take use BigRio will be there to help get startups and society as a whole to its ultimate destination.

Rohit Mahajan is a Managing Partner with BigRio. He has a particular expertise in the development and design of innovative solutions for clients in Healthcare, Financial Services, Retail, Automotive, Manufacturing, and other industry segments.

BigRio is a technology consulting firm empowering data to drive innovation, and advanced AI. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. If you would like to benefit from our expertise in these areas or if you have further questions on the content of this article, please do not hesitate to contact us.

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