Virulent Fusarium isolates with diverse morphologies show similar invasion and colonization strategies in alfalfa Root rot is a major disease that causes decline of alfalfa production, and Fusarium is a major pathogen associated with root rot.
Cognitive Simulation along with Neural Adaptation Explain Effects of Suggestions: A Novel Theoretical Framework Hypnosis is an effective intervention with proven efficacy that is employed in clinical settings and for investigating various cognitive processes.
Transcriptomics and metabolomics analyses provide insights into resistance genes of tree ferns As ancient organisms, tree ferns play a crucial role as an evolutionary bridge between lower and higher plant species, providing various utilitarian benefits.
The potential of virtual healthcare technologies to reduce healthcare services' carbon footprint The COVID-19 pandemic demonstrated the potential to reduce our carbon footprint especially by reducing travel.
RETROSPECTIVE STUDY ON THE EMOTIONAL STATUS OF HEALTHCARE WORKERS IN A COVID-19 FIELD HOSPITAL IN OMAN To combat the overwhelming demand for medical services and care during the COVID-19 Pandemic, the Sultanate of Oman launched the COVID-19 Field Hospital in 2020, designed to respond and alleviate the burden on the medical infrastructure. Several studies globally and from the Middle East suggested that frontline healthcare workers (HCW)
In Vitro Immunity: An Overview of Immunocompetent Organ-on-Chip Models Impressive advances have been made to replicate human physiology in vitro over the last few years due to the growth of the organ-on-chip (OoC) field in both industrial and academic settings.
Reassessing Granzyme B: unveiling Perforin-independent versatility in immune responses and therapeutic potentials The pivotal role of Granzyme B (GzmB) in immune responses, initially tied to cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells, has extended across diverse cell types and disease models.
Ex vivo expansion in a clinical grade medium, containing growth factors from human platelets, enhances migration capacity of adipose stem cells Adipose tissue mesenchymal stem/stromal cells (ASC) can be used as advanced therapy medicinal product in regenerative and cancer medicine.
Primary hepatic neuroendocrine neoplasms: imaging characteristics and misdiagnosis analysis Objective: To analyze the CT and MR features of Primary hepatic neuroendocrine neoplasms (PHNENs) in order to enhance the diagnostic accuracy of this disease.
Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation Introduction: To analyze the risk factors affecting recurrence in early-stage hepatocellular carcinoma (HCC) patients treated with ablation and then establish a nomogram to provide a clear and accessible representation of the patients’ recurrence risk. Methods: Collect demographic and clinical data of 898 early-stage HCC patients who underwent ablation treatment at
Serum Levels of Neurotensin, Pannexin-1, and Sestrin-2 and the Correlations with Sleep Quality or/and Cognitive Function in the Patients with Chronic Insomnia Disorder Objectives: To examine serum concentrations of neurotensin, pannexin-1 and sestrin-2, and their correlations with subjective and objective sleep quality and cognitive function in the patients with chronic insomnia disorder (CID).Methods: Sixty-five CID patients were enrolled continuously and fifty-six good sleepers in the same period were served as healthy controls
Gut microbiota in Cats with Inflammatory Bowel Disease and Low-Grade Intestinal T-cell Lymphoma In cats and humans, several physiological and environmental factors have been shown to alter the gut microbiota of healthy individuals.
Differentiation of benign and malignant parotid gland tumors based on the fusion of radiomics and deep learning features on ultrasound images Objective: The pathological classification and imaging manifestation of parotid gland tumors are complex, while accurate preoperative identification plays a crucial role in clinical management and prognosis assessment. This study aims to construct and compare the performance of clinical models, traditional radiomics models, deep learning (DL) models, and deep learning radiomics