Sökning: "lethal cancer"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden lethal cancer.

  1. 1. Establishment and Characterisation of new Immunoreagents for diagnosis of Ovarian cancer

    H-uppsats,

    Författare :Fanny Carlsson; [2023-04-19]
    Nyckelord :ovarian; cancer; monoclonal; antibodies; biomarkers; CARM1; PARPi; EZH2i;

    Sammanfattning : Ovarian cancer is the most lethal of all gynaecological cancers and it is often diagnosedat an advanced stage due to diffuse and only mild symptoms at early stages.Early detection is crucial to increase survival but high-grade serous ovarian cancer(HGSOC) often presents non-specific symptoms, such as loss of appetite, bloating ofabdomen and tiredness. LÄS MER

  3. 2. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  4. 3. A comparison of machine learning algorithms in their ability to predict pancreatic cancer

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Arvid Eriksson; Jonathan Erikson; [2022]
    Nyckelord :;

    Sammanfattning : Pancreatic cancer is an uncommon but lethal disease which has no obvious biomarkers for its early stages. Machine learning has been used in order to predict the disease with limited success. Survey data has been of special interest due to its great size and accessibility. LÄS MER

  5. 4. Biophysical analysis of Immunotherapy and Cancer modeling

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Författare :Simon Tropp; [2022]
    Nyckelord :Immunotherapy; Cancer; Tumors; Immune cells; T cells; Cancer prognostics; Cancer models; Cell distribution; Physics and Astronomy;

    Sammanfattning : Accounting for 10 million deaths and 20 million new cases every year, cancer is one of the most common causes of death. The interest in trying to understand this lethal disease using mathematical models has increased steadily for many decades. Methods for boosting the immune system to better fight cancer (immunotherapy) have also been long present. LÄS MER

  7. 5. Impact of insulin, glucagon and the I-G complex on cell viability and metabolism in Panc-1

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för hälsovetenskaper

    Författare :Katarina Brantingson Skogfält; [2021]
    Nyckelord :;

    Sammanfattning : Cancer has been found not only to be a disease of genetic mutations, but also a metabolic state by which insulin and glucagon has an impact on cancer cells. Pancreatic adenocarcinoma (PDAC) is a highly lethal cancer with high risk of recurrence of cancer cells after cancer therapy treatment with a worse outcome. LÄS MER