Sökning: "subtype"
Visar resultat 1 - 5 av 34 uppsatser innehållade ordet subtype.
1. Development of a novel quantitative PCR analysis method for HIV-1
Master-uppsats, Lunds universitet/Tillämpad biokemi; Lunds universitet/Teoretisk kemiSammanfattning : Biological pharmaceuticals are the answer to many severe diseases of today’s society. Some of these are protein-based drugs and can be produced from human blood plasma. In order to guarantee the safety of patients, absence of any pathogens needs to be ensured. LÄS MER
2. ATRIAL FIBRILLATION AT KUMLA HEALTHCENTRE – ANTICOAGULANT TREATMENTAND SYMPTOMS
Kandidat-uppsats, Örebro universitet/Institutionen för medicinska vetenskaperSammanfattning : Background: Atrial fibrillation (AF) is the most common sustained arrhythmia affecting anestimated 3 % of the adult population in the western world. The prevalence of the diseaseincreases with increasing age, thought to be due to structural changes in the heart as a result ofageing, long-term hypertension, or organic heart disease. LÄS MER
3. Deciphering the ontogeny of unmutated and mutated subsets of Chronic Lymphocytic Leukemia
Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Chronic Lymphocytic Leukemia (CLL) is a type of cancer that affects the B cells of the immune system causing problems in the process of producing antibodies. It can be sorted into mutated and unmutated CLL based on the percentage of somatic mutations in the Immunoglobulin Heavy chain Variable region (IgHV). LÄS MER
4. Effects of Different Laminins on Human Neural Progenitor Cells Cultured in 3D Electrospun Fibers
Master-uppsats, Lunds universitet/Tillämpad biokemi; Lunds universitet/Teoretisk kemiSammanfattning : A low success rate of drug candidates in clinical trials, and especially in brain research, motivates development of better screening models. Hence, in neuroscience and many other fields of Life Science, development of more physiological relevant experimental cell-based models is motivated. LÄS MER
5. Two subtypes of lung cancer classification from histopathology images based on deep learning
Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysikSammanfattning : Adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) are the most common forms of lung cancer. These two subtypes of lung cancer are usually classified by visual inspection clinically. Our aim is to design an effective strategy based on convolutional neural networks to classify histopathology slides of these two types of lung cancer. LÄS MER
