A5070519285- Chronic Lymphocytic Leukemia Research
- Lymphoma Diagnosis and Treatment
- Immunodeficiency and Autoimmune Disorders
- Epigenetics and DNA Methylation
- Cancer Genomics and Diagnostics
- Acute Lymphoblastic Leukemia research
- Advanced Breast Cancer Therapies
- Chronic Myeloid Leukemia Treatments
- Artificial Intelligence in Healthcare and Education
- Cancer-related gene regulation
- RNA modifications and cancer
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
- Medical Imaging and Analysis
- Gastrointestinal Tumor Research and Treatment
- Viral-associated cancers and disorders
- Skin Protection and Aging
- Cardiac Valve Diseases and Treatments
- Monoclonal and Polyclonal Antibodies Research
- Acute Myeloid Leukemia Research
- Glycosylation and Glycoproteins Research
- DNA Repair Mechanisms
- Radiology practices and education
- Carbohydrate Chemistry and Synthesis
University of Freiburg
2023-2025
University Medical Center Freiburg
2024-2025
University Hospital Cologne
2014-2024
University of Cologne
2012-2024
Heinrich Heine University Düsseldorf
2019-2024
Düsseldorf University Hospital
2019-2024
Universitätsklinikum Gießen und Marburg
2021
Philipps University of Marburg
2021
Asian Development Bank Institute
2020
Asian Development Bank
2020
Purpose To determine the clinical significance of flow cytometric minimal residual disease (MRD) quantification in chronic lymphocytic leukemia (CLL) addition to pretherapeutic risk factors and compare prognostic impact MRD between arms German CLL Study Group CLL8 trial. Patients Methods levels were prospectively quantified 1,775 blood bone marrow samples from 493 patients randomly assigned receive fludarabine cyclophosphamide (FC) or FC plus rituximab (FCR). categorized by into low- (<...
Background Radiologic imaging guidelines are crucial for accurate diagnosis and optimal patient care as they result in standardized decisions thus reduce inappropriate studies. Purpose To investigate the potential to support clinical decision-making using an interactive chatbot designed provide personalized recommendations from American College of Radiology (ACR) appropriateness criteria documents semantic similarity processing. Materials Methods The authors used 209 ACR a specialized...
Data on long-term outcomes and biological drivers associated with depth of remission after BCL2 inhibition by venetoclax in the treatment chronic lymphocytic leukemia (CLL) are limited. In this open-label parallel-group phase-3 study, 432 patients previously untreated CLL were randomized (1:1) to receive either 1-year venetoclax-obinutuzumab (Ven-Obi, 216 patients) or chlorambucil-Obi (Clb-Obi, therapy (NCT02242942). The primary endpoint was investigator-assessed progression-free survival...
Purpose To determine the value of minimal residual disease (MRD) assessments, together with evaluation clinical response in chronic lymphocytic leukemia according to 2008 International Workshop on Chronic Lymphocytic Leukemia criteria. Patients and Methods Progression-free survival (PFS) overall 554 patients from two randomized trials German CLL Study Group (CLL8: fludarabine cyclophosphamide [FC] v FC plus rituximab; CLL10: rituximab bendamustine rituximab) were analyzed MRD assessed...
Abstract Epigenetic alterations, such as promoter hypermethylation, may drive cancer through tumor suppressor gene inactivation. However, we have limited ability to differentiate driver DNA methylation (DNAme) changes from passenger events. We developed DNAme inference–MethSig–accounting for the varying stochastic hypermethylation rate across genome and between samples. applied MethSig bisulfite sequencing data of chronic lymphocytic leukemia (CLL), multiple myeloma, ductal carcinoma in...
While radiologists can describe a fracture's morphology and complexity with ease, the translation into classification systems such as Arbeitsgemeinschaft Osteosynthesefragen (AO) Fracture Dislocation Classification Compendium is more challenging. We tested performance of generic chatbots aware specific knowledge AO provided by vector-index compared it to human readers. In 100 radiological reports we created based on random codes, codes significantly faster than humans (mean 3.2 s per case...
Abstract Background We investigated the potential of an imaging-aware GPT-4-based chatbot in providing diagnoses based on imaging descriptions abdominal pathologies. Methods Utilizing zero-shot learning via LlamaIndex framework, GPT-4 was enhanced using 96 documents from Radiographics Top 10 Reading List gastrointestinal imaging, creating a (GIA-CB). To assess its diagnostic capability, 50 cases variety pathologies were created, comprising radiological findings fluoroscopy, MRI, and CT....
Abstract Objectives This study evaluated the effect of enhancing a GPT-4 model with retrieval-augmented generation on its ability to diagnose and classify traumatic injuries based radiology reports. Materials methods In this prospective proof-of-concept study, we used as zero-shot learning approach provide expert knowledge from RadioGraphics top ten reading list for trauma model, creating context-aware TraumaCB. Radiological report findings 50 were independently generated by two...
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Introduction: So far, treatment of asymptomatic, early stage CLL patients has not been proven beneficial. Ibrutinib is a BTK inhibitor with impressive clinical efficacy in advanced or relapsed CLL. Therefore we wished to evaluate whether ibrutinib prolongs event-free survival (EFS) increased risk progression. Methods: Asymptomatic Binet A were stratified according recently developed score (Pflug et al., Blood 2014). Patients intermediate, high and very randomized 1:1 receive 420 mg per day...