Publications by authors named "Alberto Giovanni Gerli"

Background: COVID-19 dramatically reshaped mortality across Europe. This study aimed to assess its impact on total mortality in European countries taking into consideration the relationship with selected country-level socioeconomic indicators, non-pharmaceutical interventions, and vaccine uptake.

Methods: We obtained weekly mortality data from 2010 to 2023 from the Short-term Mortality Fluctuations data series, the annual population data from the United Nations archives, selected sociodemographic and economic indicators from the World Bank's database, the stringency index and the percentage of the population fully vaccinated from Our World in Data.

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Natural Language Processing (NLP) is a subset of artificial intelligence that enables machines to understand and respond to human language through Large Language Models (LLMs)‥ These models have diverse applications in fields such as medical research, scientific writing, and publishing, but concerns such as hallucination, ethical issues, bias, and cybersecurity need to be addressed. To understand the scientific community's understanding and perspective on the role of Artificial Intelligence (AI) in research and authorship, a survey was designed for corresponding authors in top medical journals. An online survey was conducted from July 13th, 2023, to September 1st, 2023, using the SurveyMonkey web instrument, and the population of interest were corresponding authors who published in 2022 in the 15 highest-impact medical journals, as ranked by the Journal Citation Report.

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Background: Italy had a persistent excess of total mortality up to July 2022. This study provides updated estimates of excess mortality in Italy until February 2023.

Methods: Mortality and population data from 2011 to 2019 were used to estimate the number of expected deaths during the pandemic.

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This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language inputs. AI chatbot and ChatGPT in particular appear to be useful tools in scientific writing, assisting researchers and scientists in organizing material, generating an initial draft and/or in proofreading.

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Background: The impact of new lineages and sub-lineages of Omicron on total and excess mortality is largely unknown. This study aims to provide estimates of excess mortality during the circulation of the Omicron variant in Italy updated to July 2022.

Methods: Over-dispersed Poisson regression models, fitted separately for men and women, on 2011-2019 mortality data were used to estimate the expected number of deaths during the Covid-19 pandemic.

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Article Synopsis
  • - Beckwith-Wiedemann syndrome (BWS) is a complex overgrowth disorder linked to genetic changes on chromosome 11p15, affecting gene expression through imprinting and methylation patterns.
  • - Some BWS patients experience multi-locus imprinting disturbances (MLID) that complicate diagnosis, as no clear phenotypic links have been identified for these patients, raising questions about the effectiveness of multi-locus testing.
  • - The review discusses the clinical and molecular diagnosis of BWS, particularly in prenatal and postnatal cases, while exploring insights into how imprinting during early development may differ in cases like monozygotic twins and those conceived via assisted reproductive technology.
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Background: COVID-19 is an infectious disease caused by a novel coronavirus (SARS-CoV-2). The immunopathogenesis of the infection is currently unknown. Healthcare workers (HCWs) are at highest risk of infection and disease.

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