ACS Pharmacol Transl Sci
January 2025
[This corrects the article DOI: 10.1021/acsptsci.1c00230.
View Article and Find Full Text PDFBackground: To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports.
Methods: We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases commonly seen by neuro-ophthalmic subspecialists.
Introduction: Childhood adversity harms neurodevelopment. Literature on late-life brain health is limited, and findings on late-life cognition are mixed.
Methods: Pooling data from Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) and Study of Healthy Aging in African Americans (STAR) cohorts, we assessed the impact of childhood adversity (factor score from seven self-reported items) on (a) executive function and verbal memory decline using linear mixed effects models (n = 2447), (b) structural magnetic resonance imaging (MRI) using linear regression (n = 618), and (c) amyloid positron emission tomography (PET) using generalized linear models (n = 331), all adjusting for early-life demographic and socioeconomic confounders.
China has committed to develop an ecological civilization and recently taken significant steps to enhance conservation measures including updating the List of National Key Protected Wild Animals and revising the Wildlife Protection Law in 2021. Conservation has improved by increasing the number of protected species. However, a notable shortcoming undermines the effectiveness of protection for as many as 87 species, as the regulation applies only to wild and not to captive individuals (Figure 1 and Table S1).
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