Search for dissertations about: "data mining in cancer studies"

Showing result 1 - 5 of 8 swedish dissertations containing the words data mining in cancer studies.

2. 1. Strategies for assessing health risks from two occupational cohorts within the domain of northern Sweden

   Author : Ove Björ; Tohr Nilsson; Håkan Jonsson; Lena Damber; Per Gustavsson; Umeå universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Cohort; mortality; incidence; risk; rate; cancer; cerebrovascular diseases; exposure; occupational; mining; industry; worker; Poisson regression; Cox regression; SMR; causal inference; G-estimation; Occupational and Environmental Medicine; arbets- och miljömedicin; epidemiologi; Epidemiology;

   Abstract : Background: Studies based on a cohort design requires access to both subject-specific and period-specific information. In order to conduct an occupational cohort study, access to exposure information and the possibility and permission to link information on outcomes from other registers are generally necessary. READ MORE

4. 2. Computational analysis on the effects of variations in T and B cells. Primary immunodeficiencies and cancer neoepitopes

   Author : Gabriel Ndipagbornchi Teku; Proteinbioinformatik; []
   Keywords : Network topology; Network dynamics; network modeling; Network Simulation; T cells; B cells; Neoepitopes; Neoantigens; cancer;

   Abstract : Computational approaches are essential to study the effects of inborn and somatic variations. Results from such studies contribute to better diagnosis and therapies. Primary immunodeficiencies (PIDs) are rare inborn defects of key immune response genes. Somatic variations are main drivers of most cancers. READ MORE

5. 3. Gender differences in chemical carcinogenesis

   Author : Sandeep Kadekar; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : Gender differences in cancer incidence and mortality is a regular finding in epidemiological studies. In addition to reproductive organs this pattern is also seen in non-reproductive organs, with men being the most affected gender for the majority of cancer-sites. READ MORE

6. 4. Algorithmic discovery, development and personalized selection of higher-order drug cocktails : A label-free live-cell imaging & secretomics approach

   Author : Efthymia Chantzi; Mats G Gustafsson; Ulf Hammerling; Andreas Bender; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; drug combination discovery and development; personalized pharmacotherapy; higher-order drug combination analysis; quantitative label-free live-cell imaging; secretomics; cell-cell communication; deep learning; convolutional neural networks; data mining; MapReduce; resampling; generalized highest single agent; COMBImageDL; COMBSecretomics; Bioinformatics; Bioinformatik; Pharmacology; Farmakologi; Engineering Science; Teknisk fysik;

   Abstract : An upward trend in clinical pharmacology is the use of multiple drugs to combat complex and co-occurring diseases due to better efficacy, decreased toxicity and reduced risk of evolving resistance. Despite high late-stage attrition rates and the need for multi drug treatments, most drug discovery and development efforts are still mainly focused on new one-size-fits-all monotherapies. READ MORE

7. 5. Computational methods for cellular network inference and compound evaluation

   Author : Kristofer Hallén; Linköpings universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP;

   Abstract : Most diseases are caused by a mixture of environmental and genetic components. The genetic component is mainly inherited but can also induced by the environment. Cancer and cardiovascular diseases are not affected by a single gene but more often by a number of genes a nd also the complex system that the interactions between these genes form. READ MORE