Publications by authors named "Jeff Leek"

Article Synopsis
  • Generative AI can have issues like bias, data privacy concerns, misinterpretation of prompts, and generating inaccurate information, which are known as hallucinations.
  • A scoping review analyzing 120 articles on generative AI in medicine identifies key challenges and suggests solutions for digital health practitioners to navigate these pitfalls.
  • The review highlights frequent issues such as bias, privacy, and compliance, while also noting less discussed topics like overreliance on AI and adversarial attacks.
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Article Synopsis
  • - Health equity means everyone has equal chances to achieve their best health, but human genomics research has not reflected the diversity of the population, leading to health disparities.
  • - The National Human Genome Research Institute (NHGRI) acknowledges these inequities and has gathered experts to provide recommendations and review the current state of health equity in genomics.
  • - This report outlines the gaps and opportunities in bridging human genomics with health equity, emphasizing the need for more diverse participation in genomics research to improve health outcomes for all.
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Previously, we have described our feeder-free, xeno-free approach to generate megakaryocytes (MKs) in culture from human induced pluripotent stem cells (iPSCs). Here, we focus specifically on the integrity of these MKs using: (1) genotype discordance between parent cell DNA to iPSC cell DNA and onward to the differentiated MK DNA; (2) genomic structural integrity using copy number variation (CNV); and (3) transcriptomic signatures of the derived MK lines compared to the iPSC lines. We detected a very low rate of genotype discordance; estimates were 0.

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Scatterplots are the most common way for statisticians, scientists, and the public to visually detect relationships between measured variables. At the same time, and despite widely publicized controversy, P-values remain the most commonly used measure to statistically justify relationships identified between variables. Here we measure the ability to detect statistically significant relationships from scatterplots in a randomized trial of 2,039 students in a statistics massive open online course (MOOC).

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