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Mieszko Czapliński on Muck Rack

Mieszko Czapliński

As seen in: Preprints.org
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Articles

Ecthyma Gangrenosum as Clinical Presentation of Pseudomonas aeruginosa Infection in Children with Leukaemia - a Case Series

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By Janusz Springer, Piotr Czauderna, Mieszko Czapliński
| Preprints.org
You are already at the latest version Ecthyma gangrenosum (EG) is one of the manifestations of skin infections affecting immunocompromised patients. Pseudomonas aeruginosa is an important etiologic factor. The cutaneous localization of EG lesions usually is the consequence of bacteraemia. Neutropenia is the main risk factor for EG in patients with haematological malignancies.
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Intrathecal Liposomal Cytarabine as Bridge Therapy to Allogenic Hematopoietic Stem Cell Transplantation in Second Isolated CNS Relapse of Paediatric B-Cell Acute Lymphoblastic Leukaemia: 15-Year Follow-Up, Neurological Sequelae, and Survivorship Burden -

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By Monika Lejman, Mieszko Czapliński, Janusz Springer
| Preprints.org
Beyond the clinical and anatomical factors discussed above, host and tumour genetics may help to explain why this patient, classified as favourable-risk and lacking classical CNS risk features, experienced repeated CNS recurrence together with an unusually severe burden of treatment-related complications.
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An Overview of Existing Applications of Artificial Intelligence in Histopathological Diagnostics of Lymphoma: A Scoping Review

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By Mieszko Czapliński, Grzegorz Redlarski, Paweł Kowalski, Mateusz Wieczorek
| Preprints.org
Submitted: 15 January 2026 You are already at the latest version Background: Artificial intelligence (AI) shows promising results in lymphoma detection, prediction, and classification. However, translating these findings into practice requires a rigorous assessment of potential biases, clinical utility, and further validation of research models. Objective: The goal of this study was to summarize existing studies on artifi- cial intelligence models for the histopathological detection of lymphoma.
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