3 results match your criteria: "The Center for Science and Law[Affiliation]"

We seek to address current limitations of forensic risk assessments by introducing the first mobile, self-scoring, risk assessment software that relies on neurocognitive testing to predict reoffense. This assessment, run entirely on a tablet, measures decision-making via a suite of neurocognitive tests in less than 30 minutes. The software measures several cognitive and decision-making traits of the user, including impulsivity, empathy, aggression, and several other traits linked to reoffending.

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The Legal Implications of Detecting Alzheimer's Disease Earlier.

AMA J Ethics

December 2016

Associate professor of law at the University of Minnesota in the Twin Cities, where he also serves as director of the Shen Neurolaw Lab, and executive director of education and outreach for the MacArthur Foundation Research Network on Law and Neuroscience and a faculty member at the Center for Law, Brain and Behavior at Massachusetts General Hospital.

Early detection of Alzheimer's disease (AD) raises a number of challenging legal questions. In this essay, we explore some of those questions, such as: Is a neurological indicator of increased risk for AD a legally relevant brain state before there are any outward behavioral manifestations? How should courts address evidentiary challenges to the admissibility of AD-related neuroimaging? How should the government regulate the marketing of neuroimaging diagnostic tools? How should insurance coverage for the use of these new tools be optimized? We suggest that many voices and multidisciplinary perspectives are needed to answer these questions and ensure that legal responses are swift, efficient, and equitable.

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