Sökning: "tumour microenvironment"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden tumour microenvironment.

  1. 1. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  3. 2. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Paula Camargo Romera; [2023]
    Nyckelord :Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Sammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER

  4. 3. Predicting tumour growth-driving interactions from transcriptomic data using machine learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Neuroonkologi och neurodegeneration

    Författare :Mathilda Stigenberg; [2023]
    Nyckelord :cancer; immunology; cell-cell interactions; deep learning; variational autoencoder; supervised variational autoencoder; tumour microenvironment; single-cell RNA sequencing; spatial transcriptomics; breast cancer; machine learning;

    Sammanfattning : The mortality rate is high for cancer patients and treatments are only efficient in a fraction of patients. To be able to cure more patients, new treatments need to be invented. Immunotherapy activates the immune system to fight against cancer and one treatment targets immune checkpoints. LÄS MER

  5. 4. Identifying cell type-specific proliferation signatures in spatial transcriptomics data and inferring interactions driving tumour growth

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Neuroonkologi och neurodegeneration

    Författare :Felix Wærn; [2023]
    Nyckelord :spatial transcriptomics; breast cancer; dimensionality reduction; bioinformatics; deconvolution;

    Sammanfattning : Cancer is a dangerous disease caused by mutations in the host's genome that makes the cells proliferateuncontrollably and disrupts bodily functions. The immune system tries to prevent this, but tumours have methods ofdisrupting the immune system's ability to combat the cancer. LÄS MER

  7. 5. Molecular mapping of the HGSOC tumour microenvironment

    Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologi

    Författare :Philippine Louail; [2023]
    Nyckelord :Immunology; Ovarian cancer; Multiplex Immunofluorescence; scRNA sequencing; Bioinformatics; Image analysis;

    Sammanfattning : High-grade serous ovarian cancer (HGSOC) is the most aggressive subtype of ovarian cancer, and its heterogeneity poses a challenge for the discovery of reliable diagnostic biomarkers, therapeutic targets, and predicting treatment response, particularly to immunotherapy. The current standard diagnostic and treatment options are inadequate, resulting in late diagnosis and poor prognosis. LÄS MER