Sustainable Development Goal (SDG) 3, established by the United Nations, aims to “ensure healthy lives and promote well-being for all at all ages.” This goal addresses global health challenges by reducing mortality rates, preventing diseases, and improving access to quality healthcare, particularly in underserved regions. By prioritizing universal healthcare, SDG 3 envisions a world where everyone, regardless of their background or economic status, can access the medical services they need [1].
Achieving this goal is essential because health is not only a fundamental human right but also a key driver of global development. Tackling issues such as maternal and child mortality, the spread of infectious diseases, and the rising burden of non-communicable diseases is crucial to building healthier societies. According to the World Health Organization (WHO), SDG 3 sets key targets to be achieved by 2030, including:
- Reducing maternal mortality to fewer than 70 deaths per 100,000 live births worldwide.
- Reducing neonatal and child mortality, ensuring neonatal mortality is no higher than 12 per 1,000 live births and under-5 mortality does not exceed 25 per 1,000 live births.
- Ending major infectious diseases such as AIDS, tuberculosis, and malaria, while also combating other communicable illnesses like hepatitis and waterborne diseases.
- Lowering premature deaths from non-communicable diseases by one-third through better prevention and treatment, while also strengthening mental health support.
Challenges in Achieving SDG 3
Despite significant advancements in medicine, several challenges hinder the full realization of Sustainable Development Goal (SDG) 3. One major obstacle is the slow pace of drug development. On average, it takes 10–15 years and costs approximately $2.6 billion to develop a single new medicine, factoring in the high failure rates throughout the process [2]. This extended timeline delays access to life-saving treatments, leaving many patients — especially those with severe or rare diseases — without effective medical solutions when they need them most.
Another major issue is late disease diagnosis. Conditions such as cancer and neurodegenerative diseases are often detected in advanced stages when treatment options are limited, reducing survival rates [3]. Additionally, many treatments are based on a one-size-fits-all approach, making them less effective for individuals with unique genetic profiles. Personalized medicine, which tailors treatments to an individual’s genetic makeup, is still in its early stages due to the computational challenges of analyzing massive amounts of biological data [4].
Health disparities further complicate progress. Millions of people in low-income regions lack access to basic healthcare, resulting in preventable deaths [5]. The global healthcare system needs innovative solutions to overcome these challenges, and one promising technology that could play a crucial role is quantum computing.
What is Quantum Computing?
Quantum computing is a cutting-edge technology that differs significantly from classical computing. While traditional computers use bits (which represent either 0 or 1), quantum computers use qubits, which can exist in multiple states simultaneously due to a phenomenon called superposition. This allows quantum computers to perform multiple calculations at once, dramatically increasing their processing power [6].
Another key principle of quantum computing is entanglement, where qubits become interconnected, allowing them to share information instantaneously regardless of distance. This ability enhances computational efficiency, enabling quantum computers to solve problems that classical computers would take thousands of years to process [7]. For instance, Google’s Sycamore quantum computer solved a complex problem in 200 seconds, whereas the world’s fastest supercomputer would take 10,000 years to do the same [8].
How Quantum Computing Supports SDG 3
The challenges in global healthcare — such as late disease diagnosis, limited treatment effectiveness, and the slow pace of drug development — highlight the need for innovative solutions. Quantum computing has the potential to transform healthcare by accelerating medical research, improving diagnostic accuracy, and enabling personalized medicine. By leveraging its advanced computational power, quantum computing can help overcome key barriers to achieving SDG 3, which aims to ensure healthy lives and promote well-being for all.
- Precision Medicine: Traditional medical treatments often take a one-size-fits-all approach, but quantum computing can help tailor treatments to individual patients. By analyzing vast amounts of genetic and biomedical data, quantum-enhanced machine learning can identify subtle patterns in health conditions, leading to early disease detection and more effective personalized treatments. This could significantly improve outcomes for diseases like cancer, diabetes, and neurological disorders [9].
- Quantum-Assisted Diagnosis: The accuracy of medical diagnostics can be significantly improved with quantum computing. It can process high-dimensional medical imaging data from X-rays, MRIs, and CT scans with greater efficiency, reducing noise and improving precision in detecting anomalies. This has the potential to lower healthcare costs while increasing survival rates by enabling earlier and more accurate diagnoses [6].
- Drug Discovery & Development: Quantum computing allows medical researchers to simulate molecular interactions at an atomic level, dramatically accelerating the drug discovery process. By predicting how potential drugs interact with human cells, quantum simulations can help identify the most promising compounds faster than traditional trial-and-error methods. This could lead to breakthroughs in treating complex diseases and reduce the time needed to bring new drugs to market [6].
Conclusion
Achieving SDG 3: Good Health and Well-being is essential for building a healthier world. However, challenges such as slow drug development, late disease diagnosis, and healthcare inequalities continue to hinder progress. Quantum computing presents a groundbreaking solution by accelerating drug discovery, improving diagnostic accuracy, and enabling personalized treatment approaches. As quantum technology continues to evolve, its integration into global healthcare systems has the potential to revolutionize medicine, bringing us closer to a future where high-quality healthcare is accessible to everyone.
References
[1] United Nations Statistics Division, “SDG Indicators: Official list of SDG indicators.” [Online]. Available: http://unstats.un.org/sdgs/indicators/indicators-list/
[2] D. J. am Ende and M. T. am Ende, “CHEMICAL ENGINEERING IN THE PHARMACEUTICAL INDUSTRY,” in Chemical Engineering in the Pharmaceutical Industry, John Wiley & Sons, Ltd, 2019, ch. 1, pp. 1–17. doi: https://doi.org/10.1002/9781119600800.ch51.
[3] D. Crosby et al., “Early detection of cancer,” Science (1979), vol. 375, no. 6586, p. eaay9040, 2022, doi: 10.1126/science.aay9040.
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[5] H. P. K. Godwell Nhamo David Chikodzi and N. Mashula, “COVID-19 vaccines and treatments nationalism: Challenges for low-income countries and the attainment of the SDGs,” Glob Public Health, vol. 16, no. 3, pp. 319–339, 2021, doi: 10.1080/17441692.2020.1860249.
[6] R. Ur Rasool, H. F. Ahmad, W. Rafique, A. Qayyum, J. Qadir, and Z. Anwar, “Quantum Computing for Healthcare: A Review,” Future Internet, vol. 15, no. 3, 2023, doi: 10.3390/fi15030094.
[7] A. Giani and Z. Eldredge, “Quantum Computing Opportunities in Renewable Energy,” SN Comput Sci, vol. 2, no. 5, p. 393, 2021, doi: 10.1007/s42979–021–00786–3.
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[9] R. Malviya and S. Sundram, “Exploring Potential of Quantum Computing in Creating Smart Healthcare,” Open Biol J, vol. 9, pp. 56–57, Dec. 2021, doi: 10.2174/1874196702109010056.
