Guidelines for Diagnosis and Management of Infective Endocarditis in Adults: A WikiGuidelines Group Consensus Statement.

Importance: Practice guidelines often provide recommendations in which the strength of the recommendation is dissociated from the quality of the evidence.

Objective: To create a clinical guideline for the diagnosis and management of adult bacterial infective endocarditis (IE) that addresses the gap between the evidence and recommendation strength.

Evidence Review: This consensus statement and systematic review applied an approach previously established by the WikiGuidelines Group to construct collaborative clinical guidelines.

Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages.

The origins of the Indo-European language family are hotly disputed. Bayesian phylogenetic analyses of core vocabulary have produced conflicting results, with some supporting a farming expansion out of Anatolia ~9000 years before present (yr B.P.

Speech and language markers of neurodegeneration: a call for global equity.

In the field of neurodegeneration, speech and language assessments are useful for diagnosing aphasic syndromes and for characterizing other disorders. As a complement to classic tests, scalable and low-cost digital tools can capture relevant anomalies automatically, potentially supporting the quest for globally equitable markers of brain health. However, this promise remains unfulfilled due to limited linguistic diversity in scientific works and clinical instruments.

The manifold costs of being a non-native English speaker in science.

The use of English as the common language of science represents a major impediment to maximising the contribution of non-native English speakers to science. Yet few studies have quantified the consequences of language barriers on the career development of researchers who are non-native English speakers. By surveying 908 researchers in environmental sciences, this study estimates and compares the amount of effort required to conduct scientific activities in English between researchers from different countries and, thus, different linguistic and economic backgrounds.

Position paper on olfactory dysfunction: 2023.

Background: Since publication of the original Position Paper on Olfactory Dysfunction in 2017 (PPOD-17), the personal and societal burden of olfactory disorders has come sharply into focus through the lens of the COVID-19 pandemic. Clinicians, scientists and the public are now more aware of the importance of olfaction, and the impact of its dysfunction on quality of life, nutrition, social relationships and mental health. Accordingly, new basic, translational and clinical research has resulted in significant progress since the PPOD-17.

Towards Precision Medicine in Spinal Surgery: Leveraging AI Technologies.

This critique explores the implications of integrating artificial intelligence (AI) technology, specifically OpenAI's advanced language model GPT-4 and its interface, ChatGPT, into the field of spinal surgery. It examines the potential effects of algorithmic bias, unique challenges in surgical domains, access and equity issues, cost implications, global disparities in technology adoption, and the concept of technological determinism. It posits that biases present in AI training data may impact the quality and equity of healthcare outcomes.

Time to incorporate preemptive NUDT15 testing before starting thiopurines in inflammatory bowel disease in Asia and beyond: a review.

Introduction: Thiopurine toxicity is related to genetic polymorphism. Thiopurine methyltransferase (TPMT) variants do not explain thiopurine toxicity in more than half of patients. Asians, despite the low prevalence of TPMT variants, are more susceptible to thiopurine toxicity.

Zipf's Law of Abbreviation holds for individual characters across a broad range of writing systems.

Zipf's Law of Abbreviation - the idea that more frequent symbols in a code are simpler than less frequent ones - has been shown to hold at the level of words in many languages. We tested whether it holds at the level of individual written characters. Character complexity is similar to word length in that it requires more cognitive and motor effort for producing and processing more complex symbols.

Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models.

This article provides a critical analysis of the application of the advanced language model, GPT-4, in generating surgical operative notes, with a focus on its use in ophthalmology as presented by Waisberg et al. The discussion underscores the inherent complexity and specificity of operative notes, the issue of accountability, and the potential data protection issues associated with the use of AI in healthcare. The letter emphasizes the need for a more comprehensive understanding of the complexities involved in applying AI in healthcare and calls for a more nuanced and responsible approach to the integration of AI in surgical documentation.

The -a self-regulated open-access online teaching tool.

Background And Objectives: Virtual teaching tools have gained increasing importance in recent years. In particular, the COVID-19 pandemic has reinforced the need for media-based and self-regulated tools. What is missing are tools that allow us to interlink highly interdisciplinary fields such as evolutionary medicine and, at the same time, allow us to adapt content to different lectures.

GePI: large-scale text mining, customized retrieval and flexible filtering of gene/protein interactions.

We present GePI, a novel Web server for large-scale text mining of molecular interactions from the scientific biomedical literature. GePI leverages natural language processing techniques to identify genes and related entities, interactions between those entities and biomolecular events involving them. GePI supports rapid retrieval of interactions based on powerful search options to contextualize queries targeting (lists of) genes of interest.

The processing of stress in a foreign language modulates functional antagonism between default mode and attention network regions.

Lexical stress is an essential element of prosody. Mastering this prosodic feature is challenging, especially in a free-stress foreign language for individuals native to a fixed-stress language, a phenomenon referred to as stress deafness. By using functional magnetic resonance imaging, we elucidated the neuronal underpinnings of stress processing in a free-stress foreign language, and determined the underlying mechanism of stress deafness.

Formalizing Invertebrate Morphological Data: A Descriptive Model for Cuticle-Based Skeleto-Muscular Systems, an Ontology for Insect Anatomy, and their Potential Applications in Biodiversity Research and Informatics.

The spectacular radiation of insects has produced a stunning diversity of phenotypes. During the past 250 years, research on insect systematics has generated hundreds of terms for naming and comparing them. In its current form, this terminological diversity is presented in natural language and lacks formalization, which prohibits computer-assisted comparison using semantic web technologies.

Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss.

While global patterns of human genetic diversity are increasingly well characterized, the diversity of human languages remains less systematically described. Here, we outline the Grambank database. With over 400,000 data points and 2400 languages, Grambank is the largest comparative grammatical database available.

Development and Application of a Quality Assessment Tool for Oncological Question Prompt Lists.

No specific quality criteria yet exist for question prompt lists (QPLs), so this study aims to develop a quality assessment tool to then use for an evaluation of online-available QPLs. An online search was conducted for German-language QPLs using different internet search engines and terms. A wide range of existing quality criteria for patient information was adapted to the field of QPLs to build an assessment tool and evaluate all identified QPLs by four independent raters.

Interventions to enhance cross-cultural competence in oncology: A meta-analysis of effectiveness studies and a qualitative review.

Purpose: Cross-cultural competence of healthcare providers is crucial to create a culturally safe environment. Cancer poses special challenges to cross-culturally competent communication and decision-making. Yet, no research synthesis on cross-cultural competence interventions has focused specifically on oncology.

An overview and a roadmap for artificial intelligence in hematology and oncology.

Background: Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what AI can and cannot do, and what are promising areas for a sensible application of AI in hematology and oncology. Finally, the limits and perils of using AI in oncology are not obvious to many healthcare professionals.

Language Barriers in Organismal Biology: What Can Journals Do Better?

In the field of organismal biology, as in much of academia, there is a strong incentive to publish in internationally recognized, highly regarded, English-language journals to promote career advancement. This expectation has created a linguistic hegemony in scientific publishing, whereby scholars for whom English is an additional language face additional barriers to achieving the same scientific recognition as scholars who speak English as a first language. Here, we surveyed the author guidelines of 230 journals in organismal biology with impact factors of 1.

Knowledge, beliefs and practices towards HIV/AIDS among adolescents in India: A scoping review protocol.

Introduction: Acquired Immune Deficiency Syndrome (AIDS) is a major health concern among Indian adolescents (10-19 years). Indian adolescents lack adequate knowledge about HIV/AIDS and adopt wrong practices. The present scoping review aims to understand the status of knowledge, beliefs and practices among Indian adolescents about HIV or HIV/AIDS.

Guidance for creating individual and batch latinized binomial virus species names.

The International Committee on Taxonomy of Viruses recently adopted, and is gradually implementing, a binomial naming format for virus species. Although full Latinization of these names remains optional, a standardized nomenclature based on Latinized binomials has the advantage of comparability with all other biological taxonomies. As a language without living native speakers, Latin is more culturally neutral than many contemporary languages, and words built from Latin roots are already widely used in the language of science across the world.

Predicting functions of putative fungal sesquiterpene synthase genes based on multiomics data analysis.

Sesquiterpenes (STs) are secondary metabolites, which mediate biotic interactions between different organisms. Predicting the species-specific ST repertoires can contribute to deciphering the language of communication between organisms of the same or different species. High biochemical plasticity and catalytic promiscuity of sesquiterpene synthases (STSs), however, challenge the homology-based prediction of the STS functions.

Global hypomethylation in childhood asthma identified by genome-wide DNA-methylation sequencing preferentially affects enhancer regions.

Background: Childhood asthma is a result of a complex interaction of genetic and environmental components causing epigenetic and immune dysregulation, airway inflammation and impaired lung function. Although different microarray based EWAS studies have been conducted, the impact of epigenetic regulation in asthma development is still widely unknown. We have therefore applied unbiased whole genome bisulfite sequencing (WGBS) to characterize global DNA-methylation profiles of asthmatic children compared to healthy controls.