Essays about: "targeted therapies"
Showing result 1 - 5 of 14 essays containing the words targeted therapies.
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1. Establishment and Characterisation of new Immunoreagents for diagnosis of Ovarian cancer
University essay fromAbstract : 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. READ MORE
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2. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. READ MORE
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3. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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4. Evaluating targeted combination therapies in EGFR wild-type non-small-cell lung cancer using mass spectrometry-based proteomics
University essay from Lunds universitet/Institutionen för immunteknologiAbstract : Survival for non-small cell lung cancer (NSCLC) patients has been significantly improved by epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in patients with EGFR mutations. However, certain subpopulations of NSCLC patients with EGFR wild-type (wt) status have been shown to also respond to EGFR-TKIs. READ MORE
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5. Identification, investigation and prediction of post-COVID phenotypes : Using Cluster analysis and Ordinal logistic regression to determine severity of post-COVID
University essay from Uppsala universitet/Statistiska institutionenAbstract : It is believed that a large number of people experience remaining symptoms after COVID-19, so-called post-COVID. The formal definition and diagnostic criteria of post-COVID have been a scientific controversy. So far, there is no reliable system for distinguishing the severity of post-COVID. READ MORE