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Unsolicited editorials will not be considered; Letters to the editor: Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the journal Artificial Intelligence in Medicine ; Book reviews: A critical review of recently published books; Erratum: Some specific corrections to results previously published in the journal Artificial Intelligence in Medicine ; Historical perspectives: Papers that describe and critically review some specific aspects in the history of scientific contributions and applications; In memoriam: Papers describing the life and the main scientific contributions of scientists passed away, having had an important role in the area of artificial intelligence in medicine; PhD projects: Early publications about more recent research trends, having the goal of allowing PhD candidates to explain their PhD research project and to share it with other scientists interested in the topic.

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Researcher Academy Author Services Try out personalized alert features. Read more. Torgyn Shaikhina Natalia A.

Trump Impeachment hearings live: Public testimonies from Bill Taylor and George Kent

Yasunori Yamada Masatomo Kobayashi. A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases Amir Talaei-Khoei Madjid Tavana Nan Han Shaojie Qiao Deepak Singh Pradeep Singh Anthony Costa Constantinou Norman Fenton Jianwei Wang Yong Hu Classifying cancer pathology reports with hierarchical self-attention networks - Open access Shang Gao John X. Yanpeng Qu Guanli Yue Jean-Baptiste Lamy Boomadevi Sekar Amir Talaei-Khoei Madjid Tavana The ideals of interdisciplinary research and community engagement are vital to enhancing the value and quality of genetics of intelligence studies—and reducing the risk of erroneous reports like those described above.

Intelligence investigators may benefit from following the lead of the larger biomedical research community and by putting into action the recognition that any chance of identifying the genes that help to explain the emergence of intelligence will require large-scale studies on tens of thousands of research samples combined with environment-gene interaction studies. Given the importance of the environment, research done in silos without the input of the communities affected by it will lack scientific validity and fail to gain community backing.

Given the importance of such backing, when engaging members of diverse ethnic and socioeconomic groups, it is important to ask, what are the nuanced gradients of public interest in genetics of intelligence studies, and how should scientists address those interests in ways that lead to findings that can be justly and fairly distributed?

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These types of assessments cannot be performed in a vacuum. There is a broader social context with which all investigators must engage to create meaningful and translatable research findings, including intelligence researchers. An important first step would be for the members of the genetics and behavioral genetics communities to formally and directly confront these challenges through their professional societies and the editorial boards of journals.

Advances in genomic research will facilitate an increase in the number of studies about the genetics of behavioral traits, including intelligence. Less clear is whether these new tools will yield valuable and trustworthy results. We can already expect early research findings about the genetics of intelligence to be unhelpful for parents and educators as scientists struggle to link mountains of research data with phenotype and environmental triggers. Researcher bias and study imprecision have exacerbated this problem within the context of health research and would likely do the same with intelligence research.

Second, we cannot ignore the enduring impact of history on public perception about the trustworthiness of intelligence research. Although there is a robust paradigm emphasizing trust and community engagement within the context of genomic medicine research and we know what policies should look like for health research, appropriate community models specific to research on genetics of intelligence are also necessary.

The pace at which genetics science is advancing, coupled with the potential for stigma, poses a tremendous challenge to enhancing trustworthiness. As behavioral genetics and intelligence research gain momentum, the genetics community must be proactive. It must provide clear guidance for and demand higher scrutiny of genetics of intelligence studies.

If traditional biases triumph over scientific rigor, the research will only exacerbate existing educational and social disparities. The authors wish to thank Erica Schulman for research assistance and Lawrence Brody, Thomas Harter, Carolyn Robinowitz, and Sonia Suter for valuable comments on an earlier draft of this article.

The content is solely the responsibility of the authors and does not represent the views of those acknowledged here. Department of Health and Human Services. National Center for Biotechnology Information , U. Hastings Cent Rep.

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Author manuscript; available in PMC Mar Copyright and License information Disclaimer. Copyright notice. The publisher's final edited version of this article is available at Hastings Cent Rep. See other articles in PMC that cite the published article. Defining the study population Using socially constructed categories such as race and ethnicity to define groups of people poses well-known challenges in genomic research, but these scientific dilemmas have yet to lead to effective community norms.

Defining the environment Examining the role of the environment in genetics of intelligence research is a second challenge. Enhancing the value and quality of the research The ideals of interdisciplinary research and community engagement are vital to enhancing the value and quality of genetics of intelligence studies—and reducing the risk of erroneous reports like those described above. Policy Implications Advances in genomic research will facilitate an increase in the number of studies about the genetics of behavioral traits, including intelligence.

Acknowledgments The authors wish to thank Erica Schulman for research assistance and Lawrence Brody, Thomas Harter, Carolyn Robinowitz, and Sonia Suter for valuable comments on an earlier draft of this article. References 1. Baldwin J. Price of the Ticket: Collected Essays — New York: St. Tabery J.

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Hayden E. Ethics: Taboo Genetics. Shriner D, et al. Scientific Reports.

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Duster T. Backdoor to Eugenics. New York: Basic Books; See, for example, Asbury K, Plomin R. Chichester, UK: Wiley-Blackwell; G is for Genes [ Google Scholar ]. Bookman EB, et al.


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