Left ventricular global longitudinal strain in patients treated with immune checkpoint inhibitors.

Background: Immune checkpoint inhibitors (ICI) are generally associated with rare cardiac side effects, yet instances like myocarditis can be fatal. Therefore, detecting and managing left ventricular dysfunction early in ICI therapy is vital.

Objectives: This study aims to evaluate whether left ventricular global longitudinal strain (LV GLS) is a predictor for early detection of cardiac dysfunction in patients receving ICI.

The Potential Risk: Evaluation of HgA1c Levels Prior to Dental Implant Surgery in Patients without a Diagnosis of Diabetes Mellitus.

Introduction: Diabetes Mellitus (DM) poses a significant global health concern, with approximately one in two affected individuals remaining undiagnosed. The failure to diagnose or inadequately control DM can lead not only to systemic complications but also to decreased dental implant survival rates, increased marginal bone loss, and increased susceptibility to peri-implantitis. This study aims to evaluate glycated hemoglobin (HbA1c) levels in patients who have not been diagnosed with DM but exhibit oral DM symptoms prior to dental implant surgery.

Immunological Signatures for Early Detection of Human Head and Neck Squamous Cell Carcinoma through RNA Transcriptome Analysis of Blood Platelets.

Although there has been a reduction in head and neck squamous cell carcinoma occurrence, it continues to be a serious global health concern. The lack of precise early diagnostic biomarkers and postponed diagnosis in the later stages are notable constraints that contribute to poor survival rates and emphasize the need for innovative diagnostic methods. In this study, we employed machine learning alongside weighted gene co-expression network analysis (WGCNA) and network biology to investigate the gene expression patterns of blood platelets, identifying transcriptomic markers for HNSCC diagnosis.

ChatGPT May Help Inform Patients in Dental Implantology.

Purpose: Patients may have high expectations regarding dental implants based on the source of their information, which can lead to challenges in clinical communication. This study aims to evaluate the quality of responses provided by Chat Generative Pretrained Transformer (ChatGPT, OpenAI), an artificial intelligence (AI) program, to patient questions in the field of dental implantology.

Materials And Methods: This study was prospectively designed as a cross-sectional study.

Dental patients' tinnitus profile: prevalence, types, and associated factors with oral and maxillofacial diseases.

Introduction: Maxillofacial diseases may pose a risk factor for the onset of tinnitus, and may influence the severity of its symptoms. The objective of this study was to investigate the prevalence of tinnitus among patients routinely visiting the Faculty of Dentistry and to assess the relationship between tinnitus and maxillofacial diseases.

Materials And Methods: This was a prospective cross-sectional study conducted on 3,626 patients.