The Ultimate Goal of Human Being Exploring Diseases
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Published
Jul 31, 2025
Abstract
The pursuit of understanding and conquering disease has long been a central theme in human history. This article explores the ultimate goal behind humanity’s relentless effort to investigate diseases—not merely to extend life, but to elevate the quality and dignity of human existence. Drawing from philosophical, scientific, and ethical perspectives, we argue that disease exploration transcends biomedical boundaries. It reflects a deep, intrinsic human desire to exert agency over suffering, enhance resilience, foster social equity, and illuminate the human condition. We trace the evolution of disease inquiry from ancient herbalism to genomic medicine and digital health, highlighting how it mirrors progress in both knowledge and compassion. Ultimately, this journey reflects not just a biological imperative but a moral one: to reduce suffering, ensure justice in health, and construct a world where the vulnerabilities of illness are met with understanding, solidarity, and purposeful action. Disease exploration, in essence, is a profound expression of what it means to be human.
##plugins.themes.bootstrap3.article.details##
Keywords
Human Diseases, Therapeutics, Long-Term Investigation, History, Future
Supporting Agencies
No funding source declared.
References
Ahmad, W. (2023). Engaging the community and building public trust in the control and prevention of public health diseases. In The Global Health Network Collections. https://doi.org/10.21428/3d48c34a.a34c28f0
Beech, B. M., Ford, C., Thorpe, R. J., Bruce, M. A., & Norris, K. C. (2021). Poverty, racism, and the public health crisis in America. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.699049
Bloom, D. E., Canning, D., & Sevilla, J. (2003). The Effect of Health on Economic Growth: A Production Function approach. World Development, 32(1), 1–13. https://doi.org/10.1016/j.worlddev.2003.07.002
Caldiroli, C. L., Sarandacchi, S., Tomasuolo, M., Diso, D., Castiglioni, M., & Procaccia, R. (2025). Resilience as a mediator of quality of life in cancer patients in healthcare services. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-93008-2
Durmaz, A. A., Karaca, E., Demkow, U., Toruner, G., Schoumans, J., & Cogulu, O. (2015). Evolution of genetic techniques: past, present, and beyond. BioMed Research International, 2015, 1–7. https://doi.org/10.1155/2015/461524
Faiyazuddin, M., Rahman, S. J. Q., Anand, G., Siddiqui, R. K., Mehta, R., Khatib, M. N., Gaidhane, S., Zahiruddin, Q. S., Hussain, A., & Sah, R. (2025). The Impact of Artificial Intelligence on Healthcare: A comprehensive review of advancements in diagnostics, treatment, and operational efficiency. Health Science Reports, 8(1). https://doi.org/10.1002/hsr2.70312
Goff, A. L., & Landecker, H. (2025). Genome engineering, chemical exposure, and the germline: an ethical synthesis. The Hastings Center Report, 55(2), 39–51. https://doi.org/10.1002/hast.4977
Greene, N. M. (1997). Ancient Egyptian Medicine. Anesthesia & Analgesia, 84(3), 706. https://doi.org/10.1213/00000539-199703000-00061
Harrel, E., Berland, L., Jacobson, J., & Addiss, D. G. (2021). Compassionate leadership: essential for the future of tropical medicine and global health. American Journal of Tropical Medicine and Hygiene, 105(6), 1450–1452. https://doi.org/10.4269/ajtmh.21-0832
Howell, E. A., Egorova, N., Balbierz, A., Zeitlin, J., & Hebert, P. L. (2015). Black-white differences in severe maternal morbidity and site of care. American Journal of Obstetrics and Gynecology, 214(1), 122.e1-122.e7. https://doi.org/10.1016/j.ajog.2015.08.019
Jamalinia, M., & Weiskirchen, R. (2025). Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment. Annals of Translational Medicine, 13(2), 18. https://doi.org/10.21037/atm-25-34
Jankowska, P. (2025). The role of stress and mental health in obesity. Obesities, 5(2), 20. https://doi.org/10.3390/obesities5020020
Jen, M. (2022). Prehistoric Medicine: History, Procedures and Practices. Anthropology, 10(2), 281. https://doi.org/10.35248/2332-0915.22.10.281
Kottow, A. R., & Kottow, M. H. (2007). The disease-subject as a subject of literature. Philosophy Ethics and Humanities in Medicine, 2(1), 10. https://doi.org/10.1186/1747-5341-2-10
Mackenbach, J. P. (2005). The origins of human disease: a short story on “where diseases come from.” Journal of Epidemiology & Community Health, 60(1), 81–86. https://doi.org/10.1136/jech.2005.038661
Majid, U., Wasim, A., Bakshi, S., & Truong, J. (2020). Knowledge, (mis-)conceptions, risk perception, and behavior change during pandemics: A scoping review of 149 studies. Public Understanding of Science, 29(8), 777–799. https://doi.org/10.1177/0963662520963365
Martinez-Lage, M., Torres-Ruiz, R., & Rodriguez-Perales, S. (2017). CRISPR/CAS9 Technology: Applications and human disease modeling. Progress in Molecular Biology and Translational Science, 23–48. https://doi.org/10.1016/bs.pmbts.2017.09.002
Miteu, G. D. (2024). Ethics in scientific research: a lens into its importance, history, and future. Annals of Medicine and Surgery. https://doi.org/10.1097/ms9.0000000000001959
Molster, C. M., Bowman, F. L., Bilkey, G. A., Cho, A. S., Burns, B. L., Nowak, K. J., & Dawkins, H. J. S. (2018). The Evolution of Public Health Genomics: Exploring its past, present, and future. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00247
Nia, N. G., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(1). https://doi.org/10.1007/s44163-023-00049-5
Omobowale, M. O. (2022). Embedding cultural studies in public health higher education: the role of medical anthropologists. Pan African Medical Journal, 41. https://doi.org/10.11604/pamj.2022.41.271.18226
Petrov, A. V., Panova, M. V., Varshavskij, V. R., Kalyakina, I. M., Djais, A. I., & Zatsarinnaya, E. I. (2021). Economic consequences of population morbidity. Journal of Pharmaceutical Research International, 90–99. https://doi.org/10.9734/jpri/2020/v32i3831017
Pilkington, V., Keestra, S. M., & Hill, A. (2022). Global COVID-19 vaccine inequity: failures in the first year of distribution and potential solutions for the future. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.821117
Qin, X., Wang, B., Zhao, J., Wu, P., & Liu, T. (2023). Learn from the best hospitals: a comparison of the mission, vision and values. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09699-8
Quinn, S. C., & Kumar, S. (2014). Health inequalities and Infectious disease Epidemics: a challenge for global health security. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science, 12(5), 263–273. https://doi.org/10.1089/bsp.2014.0032
Rad, J. (2025). Health inequities: a persistent global challenge from past to future. International Journal for Equity in Health, 24(1). https://doi.org/10.1186/s12939-025-02526-y
Rattani, A., & Johns, A. (2017). Collaborative partnerships and gatekeepers in online research recruitment. The American Journal of Bioethics, 17(3), 27–29. https://doi.org/10.1080/15265161.2016.1274800
Sahin, O., Salim, H., Suprun, E., Richards, R., MacAskill, S., Heilgeist, S., Rutherford, S., Stewart, R. A., & Beal, C. D. (2020). Developing a preliminary causal loop diagram for understanding the wicked complexity of the COVID-19 pandemic. Systems, 8(2), 20. https://doi.org/10.3390/systems8020020
Sakai, T., & Morimoto, Y. (2022). The history of infectious diseases and medicine. Pathogens, 11(10), 1147. https://doi.org/10.3390/pathogens11101147
Smith, S. (2024). Ethics in Research: An Overview for novice researchers. Journal of Leadership Accountability and Ethics, 21(2). https://doi.org/10.33423/jlae.v21i2.7062
Tallon, E., & Dreisbach, C. (2019). Using data science to understand complexity and quantify heterogeneity in the onset and progression of chronic disease. Biological Research for Nursing, 21(5), 449–457. https://doi.org/10.1177/1099800419863161
Thapa, C., & Camtepe, S. (2020). Precision health data: Requirements, challenges and existing techniques for data security and privacy. Computers in Biology and Medicine, 129, 104130. https://doi.org/10.1016/j.compbiomed.2020.104130
Beech, B. M., Ford, C., Thorpe, R. J., Bruce, M. A., & Norris, K. C. (2021). Poverty, racism, and the public health crisis in America. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.699049
Bloom, D. E., Canning, D., & Sevilla, J. (2003). The Effect of Health on Economic Growth: A Production Function approach. World Development, 32(1), 1–13. https://doi.org/10.1016/j.worlddev.2003.07.002
Caldiroli, C. L., Sarandacchi, S., Tomasuolo, M., Diso, D., Castiglioni, M., & Procaccia, R. (2025). Resilience as a mediator of quality of life in cancer patients in healthcare services. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-93008-2
Durmaz, A. A., Karaca, E., Demkow, U., Toruner, G., Schoumans, J., & Cogulu, O. (2015). Evolution of genetic techniques: past, present, and beyond. BioMed Research International, 2015, 1–7. https://doi.org/10.1155/2015/461524
Faiyazuddin, M., Rahman, S. J. Q., Anand, G., Siddiqui, R. K., Mehta, R., Khatib, M. N., Gaidhane, S., Zahiruddin, Q. S., Hussain, A., & Sah, R. (2025). The Impact of Artificial Intelligence on Healthcare: A comprehensive review of advancements in diagnostics, treatment, and operational efficiency. Health Science Reports, 8(1). https://doi.org/10.1002/hsr2.70312
Goff, A. L., & Landecker, H. (2025). Genome engineering, chemical exposure, and the germline: an ethical synthesis. The Hastings Center Report, 55(2), 39–51. https://doi.org/10.1002/hast.4977
Greene, N. M. (1997). Ancient Egyptian Medicine. Anesthesia & Analgesia, 84(3), 706. https://doi.org/10.1213/00000539-199703000-00061
Harrel, E., Berland, L., Jacobson, J., & Addiss, D. G. (2021). Compassionate leadership: essential for the future of tropical medicine and global health. American Journal of Tropical Medicine and Hygiene, 105(6), 1450–1452. https://doi.org/10.4269/ajtmh.21-0832
Howell, E. A., Egorova, N., Balbierz, A., Zeitlin, J., & Hebert, P. L. (2015). Black-white differences in severe maternal morbidity and site of care. American Journal of Obstetrics and Gynecology, 214(1), 122.e1-122.e7. https://doi.org/10.1016/j.ajog.2015.08.019
Jamalinia, M., & Weiskirchen, R. (2025). Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment. Annals of Translational Medicine, 13(2), 18. https://doi.org/10.21037/atm-25-34
Jankowska, P. (2025). The role of stress and mental health in obesity. Obesities, 5(2), 20. https://doi.org/10.3390/obesities5020020
Jen, M. (2022). Prehistoric Medicine: History, Procedures and Practices. Anthropology, 10(2), 281. https://doi.org/10.35248/2332-0915.22.10.281
Kottow, A. R., & Kottow, M. H. (2007). The disease-subject as a subject of literature. Philosophy Ethics and Humanities in Medicine, 2(1), 10. https://doi.org/10.1186/1747-5341-2-10
Mackenbach, J. P. (2005). The origins of human disease: a short story on “where diseases come from.” Journal of Epidemiology & Community Health, 60(1), 81–86. https://doi.org/10.1136/jech.2005.038661
Majid, U., Wasim, A., Bakshi, S., & Truong, J. (2020). Knowledge, (mis-)conceptions, risk perception, and behavior change during pandemics: A scoping review of 149 studies. Public Understanding of Science, 29(8), 777–799. https://doi.org/10.1177/0963662520963365
Martinez-Lage, M., Torres-Ruiz, R., & Rodriguez-Perales, S. (2017). CRISPR/CAS9 Technology: Applications and human disease modeling. Progress in Molecular Biology and Translational Science, 23–48. https://doi.org/10.1016/bs.pmbts.2017.09.002
Miteu, G. D. (2024). Ethics in scientific research: a lens into its importance, history, and future. Annals of Medicine and Surgery. https://doi.org/10.1097/ms9.0000000000001959
Molster, C. M., Bowman, F. L., Bilkey, G. A., Cho, A. S., Burns, B. L., Nowak, K. J., & Dawkins, H. J. S. (2018). The Evolution of Public Health Genomics: Exploring its past, present, and future. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00247
Nia, N. G., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(1). https://doi.org/10.1007/s44163-023-00049-5
Omobowale, M. O. (2022). Embedding cultural studies in public health higher education: the role of medical anthropologists. Pan African Medical Journal, 41. https://doi.org/10.11604/pamj.2022.41.271.18226
Petrov, A. V., Panova, M. V., Varshavskij, V. R., Kalyakina, I. M., Djais, A. I., & Zatsarinnaya, E. I. (2021). Economic consequences of population morbidity. Journal of Pharmaceutical Research International, 90–99. https://doi.org/10.9734/jpri/2020/v32i3831017
Pilkington, V., Keestra, S. M., & Hill, A. (2022). Global COVID-19 vaccine inequity: failures in the first year of distribution and potential solutions for the future. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.821117
Qin, X., Wang, B., Zhao, J., Wu, P., & Liu, T. (2023). Learn from the best hospitals: a comparison of the mission, vision and values. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09699-8
Quinn, S. C., & Kumar, S. (2014). Health inequalities and Infectious disease Epidemics: a challenge for global health security. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science, 12(5), 263–273. https://doi.org/10.1089/bsp.2014.0032
Rad, J. (2025). Health inequities: a persistent global challenge from past to future. International Journal for Equity in Health, 24(1). https://doi.org/10.1186/s12939-025-02526-y
Rattani, A., & Johns, A. (2017). Collaborative partnerships and gatekeepers in online research recruitment. The American Journal of Bioethics, 17(3), 27–29. https://doi.org/10.1080/15265161.2016.1274800
Sahin, O., Salim, H., Suprun, E., Richards, R., MacAskill, S., Heilgeist, S., Rutherford, S., Stewart, R. A., & Beal, C. D. (2020). Developing a preliminary causal loop diagram for understanding the wicked complexity of the COVID-19 pandemic. Systems, 8(2), 20. https://doi.org/10.3390/systems8020020
Sakai, T., & Morimoto, Y. (2022). The history of infectious diseases and medicine. Pathogens, 11(10), 1147. https://doi.org/10.3390/pathogens11101147
Smith, S. (2024). Ethics in Research: An Overview for novice researchers. Journal of Leadership Accountability and Ethics, 21(2). https://doi.org/10.33423/jlae.v21i2.7062
Tallon, E., & Dreisbach, C. (2019). Using data science to understand complexity and quantify heterogeneity in the onset and progression of chronic disease. Biological Research for Nursing, 21(5), 449–457. https://doi.org/10.1177/1099800419863161
Thapa, C., & Camtepe, S. (2020). Precision health data: Requirements, challenges and existing techniques for data security and privacy. Computers in Biology and Medicine, 129, 104130. https://doi.org/10.1016/j.compbiomed.2020.104130
How to Cite
Collins, N. T. (2025). The Ultimate Goal of Human Being Exploring Diseases. Science Insights, 47(1), 1893–1899. https://doi.org/10.15354/si.25.re1191
Issue
Section
Review
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.