ESCARGOT: An AI Agent Leveraging Large Language Models, Dynamic Graph of Thoughts, and Biomedical Knowledge Graphs for Enhanced Reasoning.

Motivation: LLMs like GPT-4, despite their advancements, often produce hallucinations and struggle with integrating external knowledge effectively. While Retrieval-Augmented Generation (RAG) attempts to address this by incorporating external information, it faces significant challenges such as context length limitations and imprecise vector similarity search. ESCARGOT aims to overcome these issues by combining LLMs with a dynamic Graph of Thoughts and biomedical knowledge graphs, improving output reliability and reducing hallucinations.

An integrated approach for the accurate detection of HERV-K HML-2 transcription and protein synthesis.

Human endogenous retroviruses (HERVs) occupy a large portion of the human genome. Most HERVs are transcriptionally silent, but they can be reactivated during pathological states such as viral infection and certain cancers. The HERV-K HML-2 clade includes elements that recently integrated have in the human germ line and often contain intact open reading frames that possibly support peptide and protein expression.

A practical approach to mitigating cognitive bias effects in forensic casework.

Historically, forensic science results have been admitted in court, with minimal scrutiny regarding their scientific validity. However, following the National Academy of Sciences (NAS, 2009) report, the forensic community has undergone a significant transformation. This shift has demonstrated that forensic scientists and laboratories want to ensure the scientific rigor and quality of their results, but that they are often uncertain where to begin when addressing concerns about error and bias.

The Role of Oral Biomarkers in the Assessment of Noncommunicable Diseases.

: Oral biomarkers have gained attention as non-invasive tools for assessing systemic diseases due to their potential to reflect physiological and pathological conditions. This review aims to explore the role of oral biomarkers in diagnosing and monitoring systemic diseases, emphasizing their diagnostic relevance and predictive capabilities in clinical practice. : This narrative review synthesizes the current literature on biochemical, immunological, genetic, and microbiological oral biomarkers, with a focus on their sources, types, and clinical applications.