Publications by authors named "M Burwinkel"
Background: Structured and standardized documentation is critical for accurately recording diagnostic findings, treatment plans, and patient progress in health care. Manual documentation can be labor-intensive and error-prone, especially under time constraints, prompting interest in the potential of artificial intelligence (AI) to automate and optimize these processes, particularly in medical documentation.
Objective: This study aimed to assess the effectiveness of ChatGPT (OpenAI) in generating radiology reports from dental panoramic radiographs, comparing the performance of AI-generated reports with those manually created by dental students.
Acute myeloid leukemia (AML) is a severe hematological malignancy with poor outcomes, particularly in older adults. Traditional treatment options like high-dose chemotherapy often lead to refractory or relapsed AML, with even worse outcomes. New therapies for relapsed and refractory AML are needed, and this review explores the most recent advancements in immunotherapy in AML.
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- Cardiotoxicity after hematopoietic stem cell transplantation (HSCT) can lead to increased mortality, with many cardiac issues arising over 100 days post-transfusion and often linked to graft-versus-host disease or prior treatments.
- A case study of a 60-year-old woman, who developed acute pericarditis shortly after an allogeneic HSCT for leukemia, illustrates this complication; her symptoms improved rapidly with treatment.
- This case emphasizes the need for thorough cardiac evaluations and monitoring in high-risk patients before and after transplantation to prevent serious complications like acute pericarditis.
Although great advances have been made in understanding the pathobiology of mixed lineage leukemia-rearranged (MLL-r) leukemias, therapies for this leukemia have remained limited, and clinical outcomes remain bleak. In order to identify novel targets for immunotherapy treatments, we compiled a lineage-independent MLL-r leukemia gene signature using publicly available data sets. Data from large leukemia repositories were filtered through the in silico human surfaceome, providing a list of highly predicted cell surface proteins overexpressed in MLL-r leukemias.
View Article and Find Full Text PDFAn amendment to this paper has been published and can be accessed via a link at the top of the paper.
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