Research Insights

This section focusses on the cutting-edge research and findings in the various disciplines of healthcare around the world.

Metabolically healthy obesity, transition to unhealthy metabolic status, and vascular disease in Chinese adults: A cohort study

Metabolically healthy obesity MHO and its transition to unhealthy metabolic status have been associated with risk of cardiovascular disease CVD in Western populations However it is unclear to what extent metabolic health changes over time and whether such transition affects risks of subtypes of CVD in Chinese adults

Acute kidney injury associated with COVID-19: A retrospective cohort study

Initial reports indicate a high incidence of acute kidney injury AKI in Coronavirus Disease COVID but more data are required to clarify if COVID is an independent risk factor for AKI and how COVIDassociated AKI may differ from AKI due to other causes We therefore sought to study the relationship between COVID

Bone marrow microenvironments that contribute to patient outcomes in newly diagnosed multiple myeloma: A cohort study of patients in the Total Therapy clinical trials

The tumor microenvironment TME is increasingly appreciated as an important determinant of cancer outcome including in multiple myeloma MM However most myeloma microenvironment studies have been based on bone marrow BM aspirates which often do not fully reflect the cellular content of BM tissue itself To address this limitation

The synergy of damage repair and retention promotes rejuvenation and prolongs healthy lifespans in cell lineages

Even to this day a conceptual understanding of ageing as a phenomenon is lacking Accordingly the task of explaining the origins of specific symptoms of ageing on an organism level beginning from molecular processes in a single cell is highly complicated and the first step in achieving this goal is to properly define the term

Mathematical modeling of hepatitis C RNA replication, exosome secretion and virus release

Hepatitis C virus HCV causes acute hepatitis C and can lead to lifethreatening complications if it becomes chronic The HCV genome is a single plus strand of RNA Its intracellular replication is a spatiotemporally coordinated process of RNA translation upon cell infection

Alcoholic liver disease: A registry view on comorbidities and disease prediction

Alcoholicrelated liver disease ALD is the cause of more than half of all liverrelated deaths Sustained excess drinking causes fatty liver and alcoholrelated steatohepatitis which may progress to alcoholic liver fibrosis ALF and eventually to alcoholrelated liver cirrhosis ALC Unfortunately it is difficult to identify patients with earlystage

Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium

Clinical evidence suggests a link between fibrosis in the left atrium LA and atrial fibrillation AF the most common sustained arrhythmia Imagederived fibrosis is increasingly used for patient stratification and therapy guidance However locations of reentrant drivers RDs sustaining AF are unknown and therapy success rates remain suboptimal

Models of SIV Rebound After Treatment Interruption That Involve Multiple Reactivation Events

In order to assess the efficacy of novel HIV treatments leading to a functional cure the time to viral rebound is frequently used as a surrogate endpoint The longer the time to viral rebound the more efficacious the therapy In support of such an approach mathematical models serve as a connection

A Mathematical Model of the Metastatic Bottleneck Predicts Patient Outcome and Response to Cancer Treatment

Metastases are the main reason for cancerrelated deaths Initiation of metastases where newly seeded tumor cells expand into colonies presents a tremendous bottleneck to metastasis formation Despite its importance a quantitative description of metastasis initiation and its clinical implications is lacking

Mathematical model predicts response to chemotherapy in advanced non-resectable non-small cell lung cancer patients treated with platinum-based doublet

We developed a computational platform including machine learning and a mechanistic mathematical model to find the optimal protocol for administration of platinumdoublet chemotherapy in a palliative setting The platform has been applied to advanced metastatic nonsmall cell lung cancer NSCLC

Latest Issue
Get instant
access to our latest e-book