Publications by authors named "N K Rath"
Background: Dermatomyositis is a chronic autoimmune disease with distinctive cutaneous eruptions and muscle weakness, and the pathophysiology is characterised by type I interferon (IFN) dysregulation. This study aims to assess the efficacy, safety, and target engagement of dazukibart, a potent, selective, humanised IgG1 neutralising monoclonal antibody directed against IFNβ, in adults with moderate-to-severe dermatomyositis.
Methods: This multicentre, double-blind, randomised, placebo-controlled, phase 2 trial was conducted at 25 university-based hospitals and outpatient sites in Germany, Hungary, Poland, Spain, and the USA.
Article Synopsis
- The study investigates survival analysis methods for lung cancer using data from the Schleswig-Holstein Cancer Registry, comparing traditional Cox regression with newer machine learning methods such as Random Survival Forests and neural networks.
- Results indicate that the Cox Proportional Hazard model performs best when using the cancer stage classification, while the Random Survival Forests excel when considering additional tumor characteristics like size and metastasis.
- The findings highlight the importance of these models for providing insights into patient survival, aiding physicians in making better treatment decisions, and ultimately enhancing patient outcomes.
Objectives: To our knowledge, there is no systematic review examining CVD risks after a SARS-CoV-2 infection over time, while also taking into account disease severity. All evidence on the risk for pulmonary embolism (PE), myocardial infarction (MI), ischaemic stroke (IS), haemorrhagic stroke (HS), and arterial thrombosis following infection was evaluated.
Methods: The protocol was registered with PROSPERO.
Background: Generating synthetic patient data is crucial for medical research, but common approaches build up on black-box models which do not allow for expert verification or intervention. We propose a highly available method which enables synthetic data generation from real patient records in a privacy preserving and compliant fashion, is interpretable and allows for expert intervention.
Methods: Our approach ties together two established tools in medical informatics, namely OMOP as a data standard for electronic health records and Synthea as a data synthetization method.
Article Synopsis
- The study aimed to investigate how metformin affects the plasma levels of tuberculosis drugs (rifampicin, isoniazid, and pyrazinamide) in patients undergoing standard antituberculosis treatment (ATT) and the role of specific gene polymorphisms on drug metabolism.
- In a phase IIB clinical trial, non-diabetic adults with pulmonary tuberculosis were divided into two groups: one receiving standard ATT and the other receiving ATT plus metformin; pharmacokinetic measurements were taken to assess drug levels.
- Results indicated that metformin increased the clearance of rifampicin, isoniazid, and pyrazinamide, particularly in patients with certain genetic variants, though it had minimal impact on treatment