Octavia-Andreea Ciora

OncoSynth: Synthetic data generation for treatment effect estimation in oncology

Stefan Feuerriegel, Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen et autres

de, gb (code pays fourni par la source)

Glucagon-like peptide-1 receptor agonist initiation and risk of clinically recorded Alzheimer’s disease–type dementia in older adults with type 2 diabetes: a target trial emulation using causal machine learning

Jonas Schroeder, Octavia-Andreea Ciora, Philip Heesen, Martin Bendszus et autres

Abstract Background Glucagon-like peptide-1 (GLP-1) receptor agonists and sodium–glucose cotransporter-2 (SGLT2) inhibitors are increasingly used for type 2 diabetes. Despite established metabolic, cardiovascular, and renal benefits, it remains uncertain whether GLP-1 receptor agonists are associated with longer clinically recorded Alzheimer’s disease (AD)-type …

de, gb, ch (code pays fourni par la source)

OncoSynth: Synthetic data generation for treatment effect estimation in oncology

Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen, Maresa Schröder et autres

In oncology, access to patient-level data is often restricted. Synthetic data provides an alternative for analyzing treatment effectiveness, but existing methods for synthetic data generation fail to preserve the causal relationships between covariates, treatments, and outcomes, thereby leading to biased estimates of …

OncoSynth: Synthetic data generation for treatment effect estimation in oncology

Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen, Maresa Schröder et autres

In oncology, access to patient-level data is often restricted. Synthetic data provides an alternative for analyzing treatment effectiveness, but existing methods for synthetic data generation fail to preserve the causal relationships between covariates, treatments, and outcomes, thereby leading to biased estimates of …

de, gb, pt, Soudan du Sud (code pays fourni par la source)

Reticulated platelets in coronary artery disease: a multidimensional approach unveils prothrombotic signalling and novel therapeutic targets

Kilian Kirmes, Jiaying Han, Melissa Klug, Conor J. Bloxham et autres

BACKGROUND AND AIMS: Reticulated platelets (RPs), hyperreactive and RNA-rich, are associated with increased risk of cardiovascular events and suboptimal response to antiplatelet therapy in coronary artery disease (CAD). However, the underlying mechanisms remain poorly defined. This study aimed to characterize the molecular …

de, us, it (code pays fourni par la source)

AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review

Yuki Hagiwara, Octavia-Andreea Ciora, Maureen Monnet, Gino Lancho et autres

The diagnosis of glaucoma plays a critical role in the management and treatment of this vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by damaging the optic nerve at the back of the eye. Often called "silent thief …

Robust prediction under missingness shifts

Patrick Rockenschaub, Zhicong Xian, Alireza Zamanian, Marta Piperno et autres

Prediction becomes more challenging with missing covariates. What method is chosen to handle missingness can greatly affect how models perform. In many real-world problems, the best prediction performance is achieved by models that can leverage the informative nature of a value being …

Analysis of Missingness Scenarios for Observational Health Data

Alireza Zamanian, Henrik von Kleist, Octavia-Andreea Ciora, Marta Piperno et autres

Despite the extensive literature on missing data theory and cautionary articles emphasizing the importance of realistic analysis for healthcare data, a critical gap persists in incorporating domain knowledge into the missing data methods. In this paper, we argue that the remedy is …

de (code pays fourni par la source)

Delineating morbidity patterns in preterm infants at near-term age using a data-driven approach

Octavia-Andreea Ciora, Tanja Seegmüller, J. Fischer, Theresa Wirth et autres

BACKGROUND: Long-term survival after premature birth is significantly determined by development of morbidities, primarily affecting the cardio-respiratory or central nervous system. Existing studies are limited to pairwise morbidity associations, thereby lacking a holistic understanding of morbidity co-occurrence and respective risk profiles. METHODS: …

de, nl, ch (code pays fourni par la source)

circRNA-sponging: a pipeline for extensive analysis of circRNA expression and their role in miRNA sponging

Markus Hoffmann, Leon Schwartz, Octavia-Andreea Ciora, Nico Trummer et autres

MOTIVATION: Circular RNAs (circRNAs) are long non-coding RNAs (lncRNAs) often associated with diseases and considered potential biomarkers for diagnosis and treatment. Among other functions, circRNAs have been shown to act as microRNA (miRNA) sponges, preventing the role of miRNAs that repress their …

us, de, dk (code pays fourni par la source)

circRNA-sponging: a pipeline for extensive analysis of circRNA expression and their role in miRNA sponging

Markus Hoffmann, Leon Schwartz, Octavia-Andreea Ciora, Nico Trummer et autres

Motivation: Circular RNAs (circRNAs) are long noncoding RNAs (lncRNAs) often associated with diseases and considered potential biomarkers for diagnosis and treatment. Among other functions, circRNAs have been shown to act as microRNA (miRNA) sponges, preventing the role of miRNAs that repress their …

us, de, dk (code pays fourni par la source)

MoSBi: Automated signature mining for molecular stratification and subtyping

Tim Rose, Thibault Bechtler, Octavia-Andreea Ciora, Kim Anh Lilian Le et autres

The improving access to increasing amounts of biomedical data provides completely new chances for advanced patient stratification and disease subtyping strategies. This requires computational tools that produce uniformly robust results across highly heterogeneous molecular data. Unsupervised machine learning methodologies are able to …

de, dk (code pays fourni par la source)