Key Predictors of Mortality in Crimean-Congo Hemorrhagic Fever: A Retrospective Multicenter Cohort Study.

Objective: This study aimed to identify key predictors of mortality in patients with Crimean-Congo Hemorrhagic Fever (CCHF). Our specific goals included characterizing the demographic and clinical features of hospitalized CCHF patients in Türkiye, determining factors associated with mortality among these patients, and evaluating the impact of early ribavirin administration.

Methods: A retrospective study was conducted on 1103 CCHF patients across 18 hospitals in Türkiye from January 1, 2019, to November 20, 2024.

Tuberculosis in Turkiye: Epidemiological insights and recommendations for progress.

Background: Tuberculosis (TB) remains a significant global public health challenge. We provide an overview of the current TB epidemiology in Turkey, highlighting key findings related to TB incidence, diagnostic challenges, and treatment outcomes.

Results: A gradual decline in TB incidence in Turkiye has been observed over recent years.

Mpox diagnosis at POC.

The increasing number of Monkeypox (Mpox) cases in non-endemic countries resulted in the WHO declaring a public health emergency of international concern. Accurate and timely diagnosis of Mpox has a critical role in containing the spread of infection. Diagnosis currently relies on PCR, which requires trained personnel and complex laboratory infrastructure.

Mpox disease, diagnosis, and point of care platforms.

Human Mpox disease (MPX) is an endemic zoonotic disease that develops when patients are infected with the Mpox virus (MPXV). MPXV shares a high level of genetic similarity to other poxviruses and the clinical presentation of MPX is similar to other poxvirus infections which can result in a delay in diagnosis. In addition, the MPXV virus is phylogenetically divided into two different clades which affects the severity of disease.

Machine learning in point-of-care testing: innovations, challenges, and opportunities.

The landscape of diagnostic testing is undergoing a significant transformation, driven by the integration of artificial intelligence (AI) and machine learning (ML) into decentralized, rapid, and accessible sensor platforms for point-of-care testing (POCT). The COVID-19 pandemic has accelerated the shift from centralized laboratory testing but also catalyzed the development of next-generation POCT platforms that leverage ML to enhance the accuracy, sensitivity, and overall efficiency of point-of-care sensors. This Perspective explores how ML is being embedded into various POCT modalities, including lateral flow assays, vertical flow assays, nucleic acid amplification tests, and imaging-based sensors, illustrating their impact through different applications.

Development and Validation of LAMP Assays for Distinguishing MPXV Clades with Fluorescent and Colorimetric Readouts.

Human monkeypox (Mpox) is a zoonotic disease caused by the Monkeypox virus (MPXV). As of 14 August 2024, the World Health Organization (WHO) has declared it a global health emergency. For Mpox, this was the second public health emergency of global significance in the past two years.

Repurposing Sewage and Toilet Systems: Environmental, Public Health, and Person-Centered Healthcare Applications.

Global terrestrial water supplies are rapidly depleting due to the consequences of climate change. Water scarcity results in an inevitable compromise of safe hygiene and sanitation practices, leading to the transmission of water-borne infectious diseases, and the preventable deaths of over 800.000 people each year.

Impact of Indocyanine Green Angiography on Postoperative Parathyroid Function: A Propensity Score Matching Study.

: Thyroidectomy constitutes an important portion of endocrine surgery procedures and is associated with various complications such as bleeding, recurrent laryngeal nerve injury, and postoperative hypoparathyroidsm. Effective parathyroid preservation during thyroid surgery is crucial for patient well-being, with current strategies heavily reliant on surgeon experience. Among various methods, Indocyanine Green Angiography (ICGA) offers a promising method for intraoperative assessment of parathyroid gland perfusion.

AI-Based Metamaterial Design.

The use of metamaterials in various devices has revolutionized applications in optics, healthcare, acoustics, and power systems. Advancements in these fields demand novel or superior metamaterials that can demonstrate targeted control of electromagnetic, mechanical, and thermal properties of matter. Traditional design systems and methods often require manual manipulations which is time-consuming and resource intensive.

Loop-Mediated Isothermal Amplification-Integrated CRISPR Methods for Infectious Disease Diagnosis at Point of Care.

Infectious diseases continue to pose an imminent threat to global public health, leading to high numbers of deaths every year and disproportionately impacting developing countries where access to healthcare is limited. Biological, environmental, and social phenomena, including climate change, globalization, increased population density, and social inequity, contribute to the emergence of novel communicable diseases. Rapid and accurate diagnoses of infectious diseases are essential to preventing the transmission of infectious diseases.

CRISPR-Cas-Integrated LAMP.

Pathogen-specific point-of-care (PoC) diagnostic tests have become an important need in the fight against infectious diseases and epidemics in recent years. PoC diagnostic tests are designed with the following parameters in mind: rapidity, accuracy, sensitivity, specificity, and ease of use. Molecular techniques are the gold standard for pathogen detection due to their accuracy and specificity.

Disposable paper-based microfluidics for fertility testing.

Fifteen percent of couples of reproductive age suffer from infertility globally and the burden of infertility disproportionately impacts residents of developing countries. Assisted reproductive technologies (ARTs), including fertilization (IVF) and intracytoplasmic sperm injection (ICSI), have been successful in overcoming various reasons for infertility including borderline and severe male factor infertility which consists of 20%-30% of all infertile cases. Approximately half of male infertility cases stem from suboptimal sperm parameters.