389 research outputs found

    Breast cancer diagnosis using a hybrid genetic algorithm for feature selection based on mutual information

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    Feature Selection is the process of selecting a subset of relevant features (i.e. predictors) for use in the construction of predictive models. This paper proposes a hybrid feature selection approach to breast cancer diagnosis which combines a Genetic Algorithm (GA) with Mutual Information (MI) for selecting the best combination of cancer predictors, with maximal discriminative capability. The selected features are then input into a classifier to predict whether a patient has breast cancer. Using a publicly available breast cancer dataset, experiments were performed to evaluate the performance of the Genetic Algorithm based on the Mutual Information approach with two different machine learning classifiers, namely the k-Nearest Neighbor (KNN), and Support vector machine (SVM), each tuned using different distance measures and kernel functions, respectively. The results revealed that the proposed hybrid approach is highly accurate for predicting breast cancer, and it is very promising for predicting other cancers using clinical data

    Heat shock proteins as modulators and therapeutic targets of chronic disease: an integrated perspective

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    Many heat shock proteins (HSPs) are essential to survival as a consequence of their role as molecular chaperones, and play a critical role in maintaining cellular proteostasis by integrating the fundamental processes of protein folding and degradation. HSPs are arguably among the most prominent classes of proteins that have been broadly linked to many human disorders, with changes in their expression profile and/or intracellular/extracellular location now being described as contributing to the pathogenesis of a number of different diseases. Although the concept was initially controversial, it is now widely accepted that HSPs have additional biological functions over and above their role in proteostasis (so-called ‘protein moonlighting’). Most importantly, these new insights are enlightening our understanding of biological processes in health and disease, and revealing novel and exciting therapeutic opportunities. This theme issue draws on therapeutic insights from established research on HSPs in cancer and other non-communicable disorders, with an emphasis on how the intracellular function of HSPs contrasts with their extracellular properties and function, and interrogates their potential diagnostic and therapeutic value to the prevention, management and treatment of chronic diseases

    Editorial: radioimmunotherapy—translational opportunities and challenges

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    It has become evident that radiotherapy has both, immune suppressive, and immune activating properties (1). This is why this important component of cancer treatment should be combined with immune therapies to shift the balance toward immune activation against tumor cells. During the last decade a manifold of pre-clinical work was put into investigation of combination of radiotherapy either with additional immune stimulants such as cytokines or vaccines or in combination with antibodies that target immune suppressive molecules such as immune checkpoint inhibitors. Luckily, some of these approaches are currently tested in clinical trials, high lightening the huge translational opportunities by examination of modes of action of radiotherapy in combination with immunotherapy; named in this special issue radioimmunotherapy. However, one has always to keep in mind that many challenges do still exist such as what is the best sequence and timing of joint applications, what are the best immunotherapy approaches, how to overcome tumor resistances, what about healthy tissue cytotoxicity, or which biomarkers or matrices of biomarkers are most beneficial for patients stratification, just to mention the most burning ones. The articles in this special issue grab many of these challenges

    PROCEE: a PROstate Cancer Evaluation and Education serious game for African Caribbean men

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    Purpose – Prostate cancer is the most common cancer diagnosed in men in the UK. Black men are in a higher prostate cancer risk group possibly due to inherent genetic factors. The purpose of this paper is to introduce PROstate Cancer Evaluation and Education (PROCEE), an innovative serious game aimed at providing prostate cancer information and risk evaluation to black African-Caribbean men. Design/methodology/approach – PROCEE has been carefully co-designed with prostate cancer experts, prostate cancer patients and members of the black African-Caribbean community in order to ensure that it meets the real needs and expectations of the target audience. Findings – During the co-design process, the users defined an easy to use and entertaining game which can effectively raise awareness, inform users about prostate cancer and their risk, and encourage symptomatic men to seek medical attention in a timely manner. Originality/value – During focus group evaluations, users embraced the game and emphasised that it can potentially have a positive impact on changing user behaviour among high risk men who are experiencing symptoms and who are reluctant to visit their doctor
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