Quantum computing is revolutionizing the healthcare field by providing valuable assistance to healthcare professionals. José Luis Salmerón, a principal AI and quantum scientist, recently tested the potential of quantum computing to predict postoperative complications in thyroid surgery patients. The results were published in the journal Mathematics and achieved a 92% accuracy rate, surpassing conventional techniques. Quantum computing has also been applied in the detection of health risks, such as the Cardio-Twin project by McGill University, which creates digital twins to identify health risks in women.
Salmerón has developed an algorithm that utilizes hormonal levels as inputs to predict the likelihood of hypocalcemia, a common complication after thyroid surgery. By leveraging advanced computer systems and a variational quantum circuit, the algorithm achieved impressive accuracy. Theoretical physics dominates the realm of quantum research, but Salmerón focuses on practical applications.
In addition to predicting postoperative complications, quantum computing has been used to detect rheumatoid arthritis at early stages and classify severity levels. The accuracy rate of these models reached 90% in a study conducted at Seyyed-al Shohada University Hospital in Iran. Cognitive maps and quantum learning algorithms have proven useful in radiotherapy treatment planning, supporting human decision-making and optimizing service provision.
While not every pathology can be universally addressed by a quantum model, the field of quantum computing in healthcare is wide open. There are numerous potential applications, particularly in understanding the quantum behavior of molecules interacting with biological entities within the body. This can lead to the development of personalized chemotherapy treatments and advancements in studying the human genome.
Recently, a study published in Nature Nanotechnology demonstrated the use of electrically charged molecules to trigger self-destruction in cancer cells, leading to what is termed as “the first quantum therapy.” Quantum bioelectronics combined with medicine opens up new treatment approaches. Furthermore, quantum computing has shown potential in materials science, drug design, and solar energy harvesting.
In the future, quantum computing may also enable the development of devices that record nerve impulses to control artificial limbs. This emerging technology offers contactless early detection of atrial fibrillation, preventing fatal strokes, heart failure, and dementia. The possibilities for quantum computing in the healthcare field are vast and promising.
Sources:
– Math
– Neurocomputing
– Nature Nanotechnology
– Natural chemistry
– Journal of Physical Chemistry B
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2023-10-13 17:41:51
#Quantum #Computing #Revolutionizing #Healthcare #Field
