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Governing Health Data for Research, Development, and Innovation: The Missteps of the European Health Data Space Proposal

By Enrique Santamaría

Together with the Data Governance Act (DGA) and the General Data Protection Regulation (GDPR), the proposal for a Regulation on the European Health Data Space (EHDS) will most likely form the new regulatory and governance framework for the use of health data in the European Union. Although well intentioned and thoroughly needed, there are aspects of the EHDS that require further debate, reconsiderations, and amendments. Clarity about what constitutes scientific research is particularly needed.

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BETHESDA, MD - JUNE 29, 2019: NIH NATIONAL INSTITUTES OF HEALTH sign emblem seal on gateway center entrance building at NIH campus. The NIH is the US's medical research agency.

The NIH Has the Opportunity to Address Research Funding Disparities

By Leah Pierson

The Biden administration plans to greatly increase funding for the National Institutes of Health (NIH) in 2022, presenting the agency with new opportunities to better align research funding with public health needs.

The NIH has long been criticized for disproportionately devoting its research dollars to the study of conditions that affect a small and advantaged portion of the global population.

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Online Terms of Use for Genealogy Websites – What’s in the Fine Print?

By Jorge L. Contreras

Since genealogy websites first went online, researchers have been using the data that they contain in large-scale epidemiological and population health studies. In many cases, data is collected using automated tools and analyzed using sophisticated algorithms.

These techniques have supported a growing number of discoveries and scientific papers. For example, researchers have used this data to identify genetic markers for Alzheimer’s Disease, to trace an inherited cancer syndrome back to a single German couple born in the 1700s, and to gain a better understanding of longevity and family dispersion.  In the last of these studies, researchers analyzed family trees from 86 million individual genealogy website profiles.

Despite the scientific value of publicly-available genealogy website information, and its free accessibility via the Internet, it is not always the case that this data can be used for research without the permission of the site operator or the individual data subjects.

In fact, the online terms of use (TOU) for genealogy websites may restrict or prohibit the types of uses for data found on those sites.

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Society or population, social diversity. Flat cartoon vector illustration.

The Cost of Exclusion in Psychedelic Research

By Xinyuan Chen, Mackenzie Bullard, Christy Duan, Jamilah R. George, Terence Ching, Stephanie Kilpatrick, Jordan Sloshower, and Monnica Williams

In the last two decades, researchers have started to reexamine psychedelics for their therapeutic potential. Though initial results seem promising, the research has a significant shortcoming: the lack of racial and ethnic diversity among research teams and study participants.

In the 1960s, psychedelic substances such as LSD, psilocybin, and mescaline were a major part of American counterculture. Less well-known is that, concurrently, researchers were studying potential therapeutic uses of these mind-altering substances. Unfortunately, psychedelics were classified as Schedule I drugs in 1970, halting research into their therapeutic benefits.

The recent renaissance of psychedelic research shows these substances have significant capabilities for treating anxiety, depression, posttraumatic stress disorder (PTSD), and substance use disorders. But these promising results are limited in their applicability: an analysis from 2018 showed that 82.3% of all study participants in psychedelic trials internationally were non-Hispanic Whites, and only 2.5% were African-American.

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What Psychedelic Research Can Learn from Science, and What It Can Teach

By Manoj Doss

As a psychedelic researcher, I find myself increasingly frustrated by the tendency of the field to make lofty claims about the drugs that stray from the realities and limitations of the data.

For example, psychedelic research that uses neuroimaging employs measures of brain function that are, in fact, quite crude. Typically, one signal in a brain scan can mean many things (amygdala activation can occur when one is scared, happy, observing something salient, etc.).

For this reason, cognitive neuroscientists typically constrain mental activity using behavioral tasks in order to make more educated inferences regarding what is happening in the mind. Yet for some reason, psychedelic scientists believe they can infer mental function from the activity of a few tripping brains under task-free conditions. That is, participants are essentially doing whatever they want in the scanner, making the number of possible inferences one could make nearly infinite. And worse, they base their claims on outdated Freudian theory.

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