Assessing Patient Health Dynamics by Comparative CT Analysis: An Automatic Approach to Organ and Body Feature Evaluation.

The integration of machine learning into the domain of radiomics has revolutionized the approach to personalized medicine, particularly in oncology. Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-series CT volumes. RadTA is designed to bridge a technical gap for medical experts and enable sophisticated radiomic analyses without deep learning expertise.

Type I IFN induces long-chain acyl-CoA synthetase 1 to generate a phosphatidic acid reservoir for lipotoxic saturated fatty acids.

Long-chain acyl-CoA synthetase 1 (ACSL1) catalyzes the conversion of long-chain fatty acids to acyl-CoAs. ACSL1 is required for β-oxidation in tissues that rely on fatty acids as fuel, but no consensus exists on why ACSL1 is induced by inflammatory mediators in immune cells. We used a comprehensive and unbiased approach to investigate the role of ACSL1 induction by interferon type I (IFN-I) in myeloid cells in vitro and in a mouse model of IFN-I overproduction.

Microbial spectrum and resistance of odontogenic abscesses - microbiological analysis using next generation sequencing.

Objectives: This study aimed to map the microbiome of odontogenic abscesses using next-generation sequencing (NGS) to identify bacterial and fungal species, as well as antibiotic resistances.

Materials And Methods: Wound swabs were taken from patients treated for odontogenic abscesses at the Department of Oral and Maxillofacial Plastic Surgery, University Hospital Bonn. NGS was used to analyze the swabs, and bioinformatic analysis assigned the genetic material to microorganism profiles and identified antibiotic resistances.

Beneficial effects of non-invasive physical plasma on human periodontal ligament cells .

Introduction: Periodontitis is a chronic inflammatory disease of the periodontium that can lead to the loss of affected teeth if left untreated. It is induced by a multifactorial process centered on microbial pathogens such as Fusobacterium nucleatum . Non-invasive physical plasma (NIPP), a highly reactive gas, has become a focus of research, not only for its hemostatic, proliferation-enhancing and apoptotic properties, but also for its antimicrobial potential.