- Email: [email protected]
Engineering solutions to sleep disorders
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Abstracts / Journal of Biotechnology 256S (2017) S5–S16
part of the sperm cells analysis. It is well known that there are several applications of sperm morphometry, very strong related mainly to the possibility of prediction of the fertility potential of sperm by sperm morphology defects or poor semen morphology, by acrosomal status or the presence of some cytoplasmic droplets, to the prediction of semen freezability taking into consideration the hypothesis of different variations among sperm cells shape and volume or area during the freezing or thawing process, and also to some different studies of evolutionary biology. The present study would like to emphasize the role and the greater and greater importance of morphometrics in economic purpose animals’ fertility assessment supported by a large database in the field. http://dx.doi.org/10.1016/j.jbiotec.2017.06.033 Stereoselective diol production by multi-enzyme system Ana Vrsalovic Presecki 1,∗ , Lela Pintaric 2 , Anera Svarc 1 , Durda Vasic Racki 1 1
University of Zagreb Faculty of Chemical Engineering and Technology, Department for Reaction Engineering and Technology, Zagreb, Croatia 2 University of Zagreb Faculty of Textile Technology, Department for Applied Chemistry, Zagreb, Croatia E-mail address: [email protected] (A.V. Presecki). Within the field of biocatalysis, multi-enzyme cascade reactions are an important strategy for the production of optically active chemicals. This approach is very promising from an environmental and as well the economical point of view since in this manner higher yields and productivities is accomplished, fewer chemicals are spent, isolation of intermediates is avoided and on industrial scale, waste and production costs are reduced. The synthesis of chiral building blocks is always challenging in the field of organic chemistry, especially the production of molecules with two chiral centers, as the chiral 1,2-diols. These have wide application as synthons for chemical catalysts, agrochemicals and pharmaceuticals and can be produced by chemical and enzymatic methods. The production of specific form of the stereoisomer of 1,2-diols by enzymatic approach seems to be more attractive since the synthesis takes place under mild conditions and result with high stereoselectivity. An example of multienzyme catalysis for the production of chiral 1,2 diol will be presented. By coupling stereoselective carboligation reaction catalysed by benzoylformate decarboxylase, l-selective reduction of carbonyl group with alcohol dehydrogenase and the coenzyme regeneration by formate dehydrogenase, enantiometrically pure diastereoselective diol was successfully produced from inexpensive substrates. http://dx.doi.org/10.1016/j.jbiotec.2017.06.034 Engineering solutions to sleep disorders Osman Erogul Department of Biomedical Engineering, TOBB University of Economics & Technology, Ankara, Turkey E-mail address: [email protected]. There are various types of sleep disorders: apnoea, insomnia, hypersomnia, narcolepsy, cataplexy, insufficient sleep, circadian rhythms disorders, mental sleep disorders etc. These sleep disorders can be diagnosed by using the data obtained via
polysomnography (PSG) in sleep study laboratories. Medical doctors analyse the sleep recordings and propose a treatment plan for the patient. Continuous positive airway pressure (CPAP) and Bilevel positive airway pressure (BPAP) devices are widely used for apnoea treatment. In engineering prospect, objective criteria can be defined for the diagnosis and treatment processes in addition to subjective evaluation of the expert. In this study, medical decision support systems, which is developed by the physiological signals recorded during an overnight sleep, and ongoing studies of biomedical engineers are discussed. These support systems contribute to expert medical doctors in the diagnosis and planning treatment procedures. Sleep data contains crucial information and by signal processing techniques it is possible to extract this hidden information and unify with the experience of doctors to develop an advanced method and improve the diagnosis accuracy and treatment success. http://dx.doi.org/10.1016/j.jbiotec.2017.06.035 Accurate disease diagnosis through medical datasets by deep neural networks Mehmet Emin Yüksel Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey E-mail address: [email protected]. Conventional classification methods, such as the support vector machine (SVM), naive Bayes (NB) and decision tree (DT), do not always produce satisfying results about diagnosis of the diseases. However, deep neural networks (DNNs) may offer a potentially superior classifier for disease diagnosis over the conventional methods. In contrast to the conventional methods, DNNs not only reduce the dimension of the features by using autoencoders (AEs), but also classify the samples by a softmax layer. Because of their superior performance, DNN classifiers have been successfully used in complex classification problems not efficiently resolvable by other classification techniques. Recent advances in the field of DNNs have made them also very attractive for medical applications including disease diagnosis through medical datasets. In this talk, we present a general purpose DNN classifier and evaluate its performance by applying it with a number of different medical datasets for the purpose of disease diagnosis. The presented classifier is compared with a number of representative state-of-the-art classification methods. We also show though our experimental results and statistical analyses that the presented DNN classifier offers superior performance and may efficiently be utilized for accurate disease diagnosis. http://dx.doi.org/10.1016/j.jbiotec.2017.06.036
Abstracts / Journal of Biotechnology 256S (2017) S5–S16
part of the sperm cells analysis. It is well known that there are several applications of sperm morphometry, very strong related mainly to the possibility of prediction of the fertility potential of sperm by sperm morphology defects or poor semen morphology, by acrosomal status or the presence of some cytoplasmic droplets, to the prediction of semen freezability taking into consideration the hypothesis of different variations among sperm cells shape and volume or area during the freezing or thawing process, and also to some different studies of evolutionary biology. The present study would like to emphasize the role and the greater and greater importance of morphometrics in economic purpose animals’ fertility assessment supported by a large database in the field. http://dx.doi.org/10.1016/j.jbiotec.2017.06.033 Stereoselective diol production by multi-enzyme system Ana Vrsalovic Presecki 1,∗ , Lela Pintaric 2 , Anera Svarc 1 , Durda Vasic Racki 1 1
University of Zagreb Faculty of Chemical Engineering and Technology, Department for Reaction Engineering and Technology, Zagreb, Croatia 2 University of Zagreb Faculty of Textile Technology, Department for Applied Chemistry, Zagreb, Croatia E-mail address: [email protected] (A.V. Presecki). Within the field of biocatalysis, multi-enzyme cascade reactions are an important strategy for the production of optically active chemicals. This approach is very promising from an environmental and as well the economical point of view since in this manner higher yields and productivities is accomplished, fewer chemicals are spent, isolation of intermediates is avoided and on industrial scale, waste and production costs are reduced. The synthesis of chiral building blocks is always challenging in the field of organic chemistry, especially the production of molecules with two chiral centers, as the chiral 1,2-diols. These have wide application as synthons for chemical catalysts, agrochemicals and pharmaceuticals and can be produced by chemical and enzymatic methods. The production of specific form of the stereoisomer of 1,2-diols by enzymatic approach seems to be more attractive since the synthesis takes place under mild conditions and result with high stereoselectivity. An example of multienzyme catalysis for the production of chiral 1,2 diol will be presented. By coupling stereoselective carboligation reaction catalysed by benzoylformate decarboxylase, l-selective reduction of carbonyl group with alcohol dehydrogenase and the coenzyme regeneration by formate dehydrogenase, enantiometrically pure diastereoselective diol was successfully produced from inexpensive substrates. http://dx.doi.org/10.1016/j.jbiotec.2017.06.034 Engineering solutions to sleep disorders Osman Erogul Department of Biomedical Engineering, TOBB University of Economics & Technology, Ankara, Turkey E-mail address: [email protected]. There are various types of sleep disorders: apnoea, insomnia, hypersomnia, narcolepsy, cataplexy, insufficient sleep, circadian rhythms disorders, mental sleep disorders etc. These sleep disorders can be diagnosed by using the data obtained via
polysomnography (PSG) in sleep study laboratories. Medical doctors analyse the sleep recordings and propose a treatment plan for the patient. Continuous positive airway pressure (CPAP) and Bilevel positive airway pressure (BPAP) devices are widely used for apnoea treatment. In engineering prospect, objective criteria can be defined for the diagnosis and treatment processes in addition to subjective evaluation of the expert. In this study, medical decision support systems, which is developed by the physiological signals recorded during an overnight sleep, and ongoing studies of biomedical engineers are discussed. These support systems contribute to expert medical doctors in the diagnosis and planning treatment procedures. Sleep data contains crucial information and by signal processing techniques it is possible to extract this hidden information and unify with the experience of doctors to develop an advanced method and improve the diagnosis accuracy and treatment success. http://dx.doi.org/10.1016/j.jbiotec.2017.06.035 Accurate disease diagnosis through medical datasets by deep neural networks Mehmet Emin Yüksel Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey E-mail address: [email protected]. Conventional classification methods, such as the support vector machine (SVM), naive Bayes (NB) and decision tree (DT), do not always produce satisfying results about diagnosis of the diseases. However, deep neural networks (DNNs) may offer a potentially superior classifier for disease diagnosis over the conventional methods. In contrast to the conventional methods, DNNs not only reduce the dimension of the features by using autoencoders (AEs), but also classify the samples by a softmax layer. Because of their superior performance, DNN classifiers have been successfully used in complex classification problems not efficiently resolvable by other classification techniques. Recent advances in the field of DNNs have made them also very attractive for medical applications including disease diagnosis through medical datasets. In this talk, we present a general purpose DNN classifier and evaluate its performance by applying it with a number of different medical datasets for the purpose of disease diagnosis. The presented classifier is compared with a number of representative state-of-the-art classification methods. We also show though our experimental results and statistical analyses that the presented DNN classifier offers superior performance and may efficiently be utilized for accurate disease diagnosis. http://dx.doi.org/10.1016/j.jbiotec.2017.06.036