Translating Biotechnology to Knowledge-Based Innovation, Peace, and Development? Deploy a Science Peace Corps—An Open Letter to World Leaders

HekimNezih,; CoşkunYavuz,; SınavAhmet,; Abou-ZeidAlaa, H; AğırbaşlıMehmet,; Akintola, Simisola; AynacıoğluŞükrü,; BayramMustafa,; Bragazzi, Nicola Luigi; Dandara, Collet; Dereli, Türkay; DoveEdward, S; ElbeyliLevent,; EndrenyiLaszlo,; ErciyasKamile,; FarisJack,; FergusonLynnette, R; GöğüşFahrettin,; GüngörKıvanç,; GürsoyMervi,; GürsoyUlvi, K; Asim, K Ray; KickbuschIlona,; KılıçTürker,; KılınçMetin,; KocagözTanıl,; LinBiaoyang,; LLerena, Adrián; ManolopoulosVangelis, G; Nair, Bipin; ÖzkanBülent,; PangTikki,; ŞardaşSemra,; SrivastavaSanjeeva,; ToramanCengiz,; Üstün, Kemal; Warnich, Louise; WonkamAmbroise,; Cengiz, YakıcıerMustafa; YaşarÜmit,; ÖzdemirVural,

doi:10.1089/omi.2014.0079

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…In summary, the costs associated with personalized medicine transition remain unclear, but personalized medicine may further widen the economic inequality in health systems between high and low-income countries. This jeopardizes social and political pillars of stability, and highlights the need for a broader translation-oriented focus across the globe [ 22 ].…”

Section: Reviewmentioning

confidence: 99%

“…Interdisciplinary programs for global translational science such as the Science Peace Corps are another promising catalyzing agent for research and developments in low and middle-income countries ( http://www.peacecorps.gov/ ) [ 22 ]. The present Peace Corps program entails volunteer work (6 weeks minimum and up to 2 years) in various regions across the globe to serve as a steady flux of knowledge for translational research.…”

Section: Reviewmentioning

confidence: 99%

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From big data analysis to personalized medicine for all: challenges and opportunities

2015

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Recent advances in high-throughput technologies have led to the emergence of systems biology as a holistic science to achieve more precise modeling of complex diseases. Many predict the emergence of personalized medicine in the near future. We are, however, moving from two-tiered health systems to a two-tiered personalized medicine. Omics facilities are restricted to affluent regions, and personalized medicine is likely to widen the growing gap in health systems between high and low-income countries. This is mirrored by an increasing lag between our ability to generate and analyze big data. Several bottlenecks slow-down the transition from conventional to personalized medicine: generation of cost-effective high-throughput data; hybrid education and multidisciplinary teams; data storage and processing; data integration and interpretation; and individual and global economic relevance. This review provides an update of important developments in the analysis of big data and forward strategies to accelerate the global transition to personalized medicine.

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Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

From big data analysis to personalized medicine for all: challenges and opportunities

2015

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Pathology, proteomics and the pathway to personalised medicine

Jin

Jiang

Wang

et al. 2018

Expert Review of Proteomics

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As we move from a discovery to a translational phase in proteomics, with a focus on developing validated clinical assays to assist personalized medicine, there is a growing need for strong bidirectional interactions with the clinical pathology community. Thus, while on one hand the proteomics community will provide candidate biomarkers to assist in diagnosis, prognosis, surveillance, identification of individualized patient medication, and development and validation of new assays for diagnostic use, on the other the pathology community will assist with specific tissue identification and selection (e.g. laser capture microdissection, tissue sections for MS imaging), biobanking, validation of emerging automated histopathology techniques, preparation and classification of relevant patient medical reports, and assisting with the optimization of experimental design for clinical trials. Areas covered: Here we discuss these topics with a particular emphasis on recent publications and relevant initiatives and outline some of the hurdles that still remain for personalized medicine. Expert commentary: It is clear that effective crosstalk between the proteomics and pathology communities will greatly accelerate crossover of candidate biomarkers to personalized medicine, which will have significant benefits not only for patient wellbeing, but also the global healthcare budget. However, analysis of the big data generated may become rate-limiting.

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A Delphi Technology Foresight Study: Mapping Social Construction of Scientific Evidence on Metagenomics Tests for Water Safety

Birko

Özdemir

2015

PLoS ONE

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Access to clean water is a grand challenge in the 21st century. Water safety testing for pathogens currently depends on surrogate measures such as fecal indicator bacteria (e.g., E. coli). Metagenomics concerns high-throughput, culture-independent, unbiased shotgun sequencing of DNA from environmental samples that might transform water safety by detecting waterborne pathogens directly instead of their surrogates. Yet emerging innovations such as metagenomics are often fiercely contested. Innovations are subject to shaping/construction not only by technology but also social systems/values in which they are embedded, such as experts’ attitudes towards new scientific evidence. We conducted a classic three-round Delphi survey, comprised of 107 questions. A multidisciplinary expert panel (n = 24) representing the continuum of discovery scientists and policymakers evaluated the emergence of metagenomics tests. To the best of our knowledge, we report here the first Delphi foresight study of experts’ attitudes on (1) the top 10 priority evidentiary criteria for adoption of metagenomics tests for water safety, (2) the specific issues critical to governance of metagenomics innovation trajectory where there is consensus or dissensus among experts, (3) the anticipated time lapse from discovery to practice of metagenomics tests, and (4) the role and timing of public engagement in development of metagenomics tests. The ability of a test to distinguish between harmful and benign waterborne organisms, analytical/clinical sensitivity, and reproducibility were the top three evidentiary criteria for adoption of metagenomics. Experts agree that metagenomic testing will provide novel information but there is dissensus on whether metagenomics will replace the current water safety testing methods or impact the public health end points (e.g., reduction in boil water advisories). Interestingly, experts view the publics relevant in a “downstream capacity” for adoption of metagenomics rather than a co-productionist role at the “upstream” scientific design stage of metagenomics tests. In summary, these findings offer strategic foresight to govern metagenomics innovations symmetrically: by identifying areas where acceleration (e.g., consensus areas) and deceleration/reconsideration (e.g., dissensus areas) of the innovation trajectory might be warranted. Additionally, we show how scientific evidence is subject to potential social construction by experts’ value systems and the need for greater upstream public engagement on metagenomics innovations.

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Translating Biotechnology to Knowledge-Based Innovation, Peace, and Development? Deploy a Science Peace Corps—An Open Letter to World Leaders

Cited by 5 publications

References 19 publications

From big data analysis to personalized medicine for all: challenges and opportunities

From big data analysis to personalized medicine for all: challenges and opportunities

Pathology, proteomics and the pathway to personalised medicine

A Delphi Technology Foresight Study: Mapping Social Construction of Scientific Evidence on Metagenomics Tests for Water Safety

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