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Bernadette Jana Stolz-Pretzer

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Related publications (5)

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Continuous Indexing of Fibrosis (CIF): improving the assessment and classification of MPN patients

Bernadette Jana Stolz-Pretzer

The grading of fibrosis in myeloproliferative neoplasms (MPN) is an important component of disease classification, prognostication and monitoring. However, current fibrosis grading systems are only semi-quantitative and fail to fully capture sample heterog ...

2023

The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia

Bernadette Jana Stolz-Pretzer

Author summaryAcute lymphoblastic leukaemia (ALL) is a blood cancer which affects predominantly children and adolescents. Therapy typically fails in approximately 20% of patients, who suffer from relapse. To determine disease status, clinicians assess cell ...

2023

Relational Persistent Homology for Multispecies Data with Application to the Tumor Microenvironment

Bernadette Jana Stolz-Pretzer

Topological data analysis (TDA) is an active field of mathematics for quantifying shape in complex data. Standard methods in TDA such as persistent homology (PH) are typically focused on the analysis of data consisting of a single entity (e.g., cells or mo ...

2024

Enhanced perfusion following exposure to radiotherapy: A theoretical investigation

Bernadette Jana Stolz-Pretzer

Tumour angiogenesis leads to the formation of blood vessels that are structurally and spatially heterogeneous. Poor blood perfusion, in conjunction with increased hypoxia and oxygen heterogeneity, impairs a tumour's response to radiotherapy. The optimal st ...

2024

Outlier-Robust Subsampling Techniques for Persistent Homology

Bernadette Jana Stolz-Pretzer

In recent years, persistent homology (PH) has been successfully applied to real-world data in many different settings. Despite significant computational advances, PH algorithms do not yet scale to large datasets preventing interesting applications. One app ...

2023