Human challenge studies (HCS), where healthy volunteers are safely exposed to an infectious agent under close supervision, have long helped scientists understand how diseases work and how to develop better treatment options, especially vaccines. Traditionally, HCS have been instrumental in speeding up vaccine research for infections such as malaria, influenza, and most recently coronavirus disease 2019. However, they have also raised difficult ethical and safety questions. With emerging tools such as artificial intelligence (AI)-based vaccine design, computer-simulated “in silico” trials, wearable devices for real-time monitoring, and synthetic biology for developing standardized challenge strains, researchers can now make better predictions and minimize risks. All these advances also bring new challenges, such as issues of data privacy, bias in algorithms, unequal access across countries, and unclear global regulations. The fusion of technology and human challenge research represents a major step forward for global health. If guided by strong ethics and equitable access, these tools can transform HCS from experimental models into powerful instruments for pandemic preparedness and vaccine innovation, helping humanity respond faster, safer, and smarter to emerging infectious threats. This narrative review looks at how new technologies, such as AI and digital health tools, are changing the way these studies are designed and conducted. This article also emphasizes the need for transparent, fair, and globally harmonized oversight to ensure participants’ rights and public trust.
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Arthi Arunagiri
AK Das
Sitanshu Sekhar Kar
Current Medical Issues
Jawaharlal Institute of Post Graduate Medical Education and Research
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Arunagiri et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69d8970c6c1944d70ce0845b — DOI: https://doi.org/10.4103/cmi.cmi_193_25