How developing world concerns need to be part of drug development plans: a case study of four emerging antiretrovirals

Researchers in the area of design for the developing world have synthesized knowledge from location-specific product case studies in the form of design guidance, which includes pitfalls, principles, and methods. Much of the design guidance relates to specific product classes and regions, while recent work is directed towards generalized principles. The aim of this paper is to fill gaps in product class-specific design guidance by creating larger groups of similar products, which share design characteristics. In this paper, we present a method for classifying products into such groups utilizing cluster analysis. We present a five-step method, which includes optional synthesis of design principles. The potential value of the method is demonstrated in a case study. The result included two distinct product groups, titled Products for Relief and Products for Development, and corresponding design principles for each group.

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Leveraging Omics Biomarker Data in Drug Development: With a GWAS Case Study

Springer Proceedings in Mathematics & Statistics - Pharmaceutical Statistics ◽

10.1007/978-3-319-67386-8_22 ◽

2019 ◽

pp. 317-325

Author(s):

Weidong Zhang

Keyword(s):

Drug Development ◽

Biomarker Data

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Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

10.31124/advance.17054936 ◽

2021 ◽

Author(s):

SANGHAMITRA CHOUDHURY ◽

Shailendra Kumar

Keyword(s):

Artificial Intelligence ◽

Developing Countries ◽

Developing World ◽

Developed Countries ◽

High Level ◽

The Impact ◽

The Relationship ◽

Precarious Situation ◽

And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

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The Start of a Journey to the Cloud in the Developing World: A Case Study of Egypt

2015 48th Hawaii International Conference on System Sciences ◽

10.1109/hicss.2015.520 ◽

2015 ◽

Cited By ~ 2

Author(s):

Rania Fahim El-Gazzar

Keyword(s):

Developing World

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Evolution of Digital Technologies and Use of Virtual Assistants in Drug Development

Advances in Healthcare Information Systems and Administration - Intelligent Systems for Healthcare Management and Delivery ◽

10.4018/978-1-5225-7071-4.ch001 ◽

2019 ◽

pp. 1-20

Author(s):

Manu Venugopal

Keyword(s):

Drug Development ◽

Digital Health ◽

Critical Role ◽

Life Sciences ◽

Digital Technologies ◽

Development Phase ◽

Health Technologies ◽

Daunting Task ◽

The World

The drug development phase is one of the most time-consuming and expensive stages in the lifecycle of a drug. Marred by patent expirations, price regulations, complexities in disease conditions, life sciences companies are facing a daunting task to bring new molecular entities into the market. Digital health technologies are playing a critical role in addressing some of the challenges faced during drug development. In this chapter, the author talks about the challenges and key trends in the world of drug development, use of new digital health technologies, and the future of drug development. As an example, the author dives into a specific case study on the use of virtual assistants in clinical trials and the benefits of its usage on patients, healthcare professionals, and life sciences companies.

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