Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis.

Background: Obesity, now the fifth leading global cause of death, has seen a dramatic rise in prevalence over the last forty years. It significantly increases the risk of diseases such as type 2 diabetes and cardiovascular disease. Early identification of obesity risk allows for preventative actions against obesity-related factors.

TIGIT-expression on natural killer cell subsets is an early indicator of alleviating liver inflammation following bulevirtide treatment in chronic hepatitis D.

Background Aims: Bulevirtide (BLV) is a novel and the only approved treatment option for patients with chronic hepatitis D (CHD). BLV alleviates liver inflammation already early during treatment when only minor HDV RNA changes are observed. We hypothesized that BLV-treatment may influence immune cells in CHD patients and performed a high-resolution analysis of natural killer (NK) cells before and during BLV-therapy.

Value and Kinetics of Virological Markers in the Natural Course of Chronic Hepatitis D Virus Infection.

Background And Aims: Chronic hepatitis D virus (HDV) infection can cause severe liver disease. With new treatment options available, it is important to identify patients at risk for liver-related complications. We aimed to investigate kinetics and predictive values of novel virological and immunological markers in the natural course of chronic HDV infection.

Reverse mutational scanning of SARS-CoV-2 spike BA.2.86 identifies epitopes contributing to immune escape from polyclonal sera.

The recently detected Omicron BA.2.86 lineage contains more than 30 amino acid mutations relative to BA.

Digital redesign of the radiotherapy course for medical students with a blended learning approach.

Purpose: Due to the need for high-quality teaching, we present a new blended learning concept combining digital modules, interactive seminars, and clinical experience. Furthermore, we evaluated its acceptance among students.

Methods: A new concept for teaching was applied to the radiotherapy module and made available via the Hannover Medical School (MHH) learning management system as part of a blended learning concept with educational films, multimedia learning modules, online seminars, and onsite practical training.

- a large-scale dataset of 3D medical shapes for computer vision.

Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).

Enhancing HBV-specific T cell responses through a combination of epigenetic modulation and immune checkpoint inhibition.

Objective: Chronic HBV infection (CHB) exhausts HBV-specific T cells, develops epigenetic imprints that impair immune responses, and limits the effectiveness of immune checkpoint inhibitor (ICI) monotherapy, such as αPD-L1. This study aimed to determine whether the DNA methyltransferase inhibitor decitabine (DAC) could reverse these epigenetic imprints and enhance ICI efficacy in restoring HBV-specific T cell responses.

Methods: We investigated HBV-specific T cell responses by 10-day in vitro stimulation of peripheral blood mononuclear cells (PBMCs) from patients with CHB.

MeTEor: an R Shiny app for exploring longitudinal metabolomics data.

Motivation: The availability of longitudinal omics data is increasing in metabolomics research. Viewing metabolomics data over time provides detailed insight into biological processes and fosters understanding of how systems react over time. However, the analysis of longitudinal metabolomics data poses various challenges, both in terms of statistical evaluation and visualization.

Monitoring individualized glucose levels predicts risk for bradycardia in type 2 diabetes patients with chronic kidney disease: a pilot study.

Patients with diabetes mellitus (DM) and chronic kidney disease (CKD) exhibit an elevated risk for cardiac arrhythmias, such as bradycardia, which may potentially lead to sudden cardiac death (SCD). While hypoglycemia, defined as a critical drop in glucose levels below the normal range, has long been associated with adverse cardiovascular events, recent studies have highlighted the need for a comprehensive reevaluation of its direct impact on cardiovascular outcomes, particularly in high-risk populations such as those with DM and CKD. In this study, we investigated the association between glucose levels and bradycardia by simultaneously monitoring interstitial glucose (IG) and ECG for 7 days in insulin-treated patients with DM and CKD.

Different dynamics of soluble inflammatory mediators after clearance of respiratory SARS-CoV-2 versus blood-borne hepatitis C virus infections.

Viral infections can be acute or chronic, with the immune system pivotal in immunopathogenesis. The potential reversibility of inflammation post-viral elimination is of current interest. This study compares the dynamics of soluble inflammatory mediators (SIM) during and after respiratory infections with SARS-CoV-2 and blood-borne acute and chronic hepatitis C virus (HCV) infections.

TIPS insertion leads to sustained reversal of systemic inflammation in patients with decompensated liver cirrhosis.

Background And Aims: Systemic Inflammation (SI) is considered a key mechanism in disease progression and development of complications in decompensated liver cirrhosis. SI is mainly driven by portal hypertension and bacterial translocation. Transjugular intrahepatic portosystemic shunt (TIPS)-insertion represents an effective treatment for portal hypertension.

Limited stability of Hepatitis B virus RNA in plasma and serum.

Pregenomic hepatitis B virus RNA (HBV pgRNA) is a potential biomarker in the management of HBV infected patients. However, prior to the use in routine clinical practice potential confounders of test results need to be identified. This study investigates the stability of HBV pgRNA under various storage conditions.

MitoTempo treatment as an approach to cure persistent viral infections?

Chronic viral infections are characterized by exhausted virus-specific T cells. Exhaustion is associated with mitochondrial dysfunction, revealing a possible target for treatment. Targeting these metabolic processes may interfere with the exhaustion process of immune cells during infection.

Limited Value of HBV-RNA for Relapse Prediction After Nucleos(t)ide Analogue Withdrawal in HBeAg-negative Hepatitis B Patients.

International guidelines suggest cessation of nucleos(t)ide analogues (NA) independent of HBsAg loss in HBeAg-negative patients after 2-3 years of viral suppression. Detectable HBV-RNA levels at the time of NA cessation were linked to a better prediction of relapse after NA withdrawal in small cohorts of HBeAg-negative patients. This study proves the impact of HBV-RNA levels in the prediction of relapse in a large cohort of HBeAg-negative patients, mainly infected with genotype B or C.

Systemic dysregulation and molecular insights into poor influenza vaccine response in the aging population.

Vaccination-induced protection against influenza is greatly diminished and increasingly heterogeneous with age. We investigated longitudinally (up to five time points) a cohort of 234 vaccinated >65-year-old vaccinees with adjuvanted vaccine FluAd across two independent seasons. System-level analyses of multiomics datasets measuring six modalities and serological data revealed that poor responders lacked time-dependent changes in response to vaccination as observed in responders, suggestive of systemic dysregulation in poor responders.

DNA methylation profiling identifies TBKBP1 as potent amplifier of cytotoxic activity in CMV-specific human CD8+ T cells.

Epigenetic mechanisms stabilize gene expression patterns during CD8+ T cell differentiation. Although adoptive transfer of virus-specific T cells is clinically applied to reduce the risk of virus infection or reactivation in immunocompromised individuals, the DNA methylation pattern of virus-specific CD8+ T cells is largely unknown. Hence, we here performed whole-genome bisulfite sequencing of cytomegalovirus-specific human CD8+ T cells and found that they display a unique DNA methylation pattern consisting of 79 differentially methylated regions (DMRs) when compared to memory CD8+ T cells.

Spatial Cellular Networks from omics data with SpaCeNet.

Advances in omics technologies have allowed spatially resolved molecular profiling of single cells, providing a window not only into the diversity and distribution of cell types within a tissue, but also into the effects of interactions between cells in shaping the transcriptional landscape. Cells send chemical and mechanical signals which are received by other cells, where they can subsequently initiate context-specific gene regulatory responses. These interactions and their responses shape the individual molecular phenotype of a cell in a given microenvironment.

Host response to influenza infections in human blood: association of influenza severity with host genetics and transcriptomic response.

Introduction: Influenza virus infections are a major global health problem. Influenza can result in mild/moderate disease or progress to more severe disease, leading to high morbidity and mortality. Severity is thought to be primarily driven by immunopathology, but predicting which individuals are at a higher risk of being hospitalized warrants investigation into host genetics and the molecular signatures of the host response during influenza infections.

Robust In-Vehicle Signal Quality Assessment Using Multimodal Signal Fusion.

Continuous monitoring of physiological signals such as electrocardiogram (ECG) in driving environments has the potential to reduce the need for frequent health check-ups by providing real-time information on cardiovascular health. However, capturing ECG from sensors mounted on steering wheels creates difficulties due to motion artifacts, noise, and dropouts. To address this, we propose a novel method for reliable and accurate detection of heartbeats using sensor fusion with a bidirectional long short-term memory (BiLSTM) model.

Multimodal Signal Fusion for Heartbeat Monitoring on eScooters.

Integrating continuous monitoring into everyday objects enables the early detection of diseases. This paper presents a novel approach to heartbeat monitoring on eScooters using multi-modal signal fusion. We explore heartbeat monitoring using electrocardiography (ECG) and photoplethysmography (PPG) and evaluate four signal fusion approaches based on convolutional neural network (CNN) and long short-term memory (LSTM) architectures.

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Due to the importance of COVID-19 control, innovative methods for predicting cases using social network data are increasingly under attention. This study aims to predict confirmed COVID-19 cases using X (Twitter) social network data (tweets) and deep learning methods. We prepare data extracted from tweets by natural language processing (NLP) and consider the daily G-value (growth rate) as the target variable of COVID-19, collected from the worldometer.

An Open Information Model-Based Repository for Sustainable Re-Use of Heterogeneous Pandemics Research Data.

The COVID-19 Research Network Lower Saxony (COFONI) is a German state network of experts in Coronavirus research and development of strategies for future pandemics. One of the pillars of the COFONI technology platform is its established research data repository (Available at https://forschungsdb.cofoni.

Creating Digital Rescue Sheets.

Rescue sheets enable rescue personnel to timely extricate trapped victims of road traffic accidents and increase their chance of survival. However, in the year 2024, these rescue sheets are still paper based DIN A4 documents. The digital transformation of the rescue process through new reporting technologies, such as eCall or the International Standard Accident Number (ISAN) facilitates digital rescue sheets, providing benefits for availability and functionality.

Unobtrusive Monitoring of Clinical Deterioration in Smart Homes.

Clinical deterioration (CD) is the physiological decompensation that incurs care escalation, protracted hospital stays, or even death. The early warning score (EWS) calculates the occurrence of CD based on five vital signs. However, there are limited reports regarding EWS monitoring in smart home settings.

Quality of Electrocardiography Recorded with Consumer Smart Shirts.

Smart wearables support continuous monitoring of vital signs for early detection of deteriorating health. However, the devices and sensors require sufficient quality to produce meaningful signals, in particular, if data is acquired in motion. In this study, we equipped 48 subjects with smart shirts recording one-lead electrocardiography (ECG), thoracic and abdominal respiratory inductance plethysmography, and three-axis acceleration.