TY - CHAP A1 - Hiort, Pauline A1 - Hugo, Julian A1 - Zeinert, Justus A1 - Müller, Nataniel A1 - Kashyap, Spoorthi A1 - Rajapakse, Jagath C. A1 - Azuaje, Francisco A1 - Renard, Bernhard Y. A1 - Baum, Katharina T1 - DrDimont: explainable drug response prediction from differential analysis of multi-omics networks T2 - Bioinformatics N2 - Motivation: While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. Results: We present DrDimont, Drug response prediction from Differential analysis of multi-omics networks. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived from comparing the condition-specific integrated networks. DrDimont's predictions are explainable, i.e. molecular differences that are the source of high differential drug scores can be retrieved. We predict differential drug response in breast cancer using transcriptomics, proteomics, phosphosite and metabolomics measurements and contrast estrogen receptor positive and receptor negative patients. DrDimont performs better than drug prediction based on differential protein expression or PageRank when evaluating it on ground truth data from cancer cell lines. We find proteomic and phosphosite layers to carry most information for distinguishing drug response. Y1 - 2022 U6 - https://doi.org/10.1093/bioinformatics/btac477 SN - 1367-4803 SN - 1367-4811 VL - 38 SP - ii113 EP - ii119 PB - Oxford Univ. Press CY - Oxford ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Managing multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - Traditionally, business models and software designs used to model the usage of artificial intelligence (AI) at a very specific point in the process or rather fix implemented application. Since applications can be based on AI, such as networked artificial neural networks (ANN) on top of which applications are installed, these on-top applications can be instructed directly from their underlying ANN compartments [1]. However, with the integration of several AI-based systems, their coordination is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing artificial knowledge transfers among interlinked AIs as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by ANN-instructed production machines. In a design-science-oriented way, this paper conceptualizes rhythmic state descriptions for dynamic systems and associated 14 experiment designs. Two experiments have been realized, analyzed and evaluated thereafter in regard with their activities and processes induced. Findings show that the simulator [2] used and experiments designed and realized, here, (I) enable research on ANN activation types, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them. Further, (III) management interventions are derived for harmonizing interlinked ANNs. This study establishes the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_17 SP - 258 EP - 269 PB - Springer CY - Cham ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Researching multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - With the further development of more and more production machines into cyber-physical systems, and their greater integration with artificial intelligence (AI) techniques, the coordination of intelligent systems is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing their artificial knowledge transfers as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by Artificial Neural Network (ANN)-instructed production machines. For this, it provides a new integration type of ANN-based cyber-physical production system as a tool to research artificial knowledge transfers: In a design-science-oriented way, a prototype of a simulation system is constructed as Open Source information system which will be used in on-building research to (I) enable research on ANN activation types in production networks, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them, and (III) demonstrate conceptual management interventions. This simulator shall establish the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_12 SP - 186 EP - 206 PB - Springer CY - Cham ER - TY - CHAP A1 - Schulze, Kora A1 - Döschner, Larissa A1 - Göger, Lea A1 - Franz, K. A1 - Müller-Werdan, Ursula A1 - Norman, Kristina A1 - Herpich, Catrin T1 - Kurzeitige vegane Intervention senkt Inflammationsmarker BT - Abstracts des Gerontologie und Geriatrie Kongresses 2022 „Altern im Spannungsfeld von Resilienz und Vulnerabilität“ T2 - Zeitschrift für Gerontologie und Geriatrie Y1 - 2022 U6 - https://doi.org/10.1007/s00391-022-02095-7 SN - 0948-6704 SN - 1435-1269 VL - 55 IS - Suppl. 1 SP - S83 EP - S84 PB - Springer Medizin CY - Heidelberg ER - TY - CHAP A1 - Fayyaz, Susann A1 - Hartmann, Bolette A1 - Hanack, Katja A1 - Michelchen, Sophia A1 - Kreiling, Reinhard T1 - Development of a hematopoietic stem cell (murine system) based system as an alternative for the in vivo T-cell-dependent antibody response (TDAR) assay within the EOGRTS: case-study with Parabens T2 - Toxicology letters Y1 - 2022 U6 - https://doi.org/10.1016/j.toxlet.2022.07.483 SN - 0378-4274 SN - 1879-3169 VL - 368 SP - S175 EP - S176 PB - Elsevier Science CY - Amsterdam [u.a.] ER - TY - CHAP A1 - Gleiß, Alexander T1 - The patient will see you now-towards an understanding of on-demand healthcare T2 - 2020 IEEE 22nd Conference on Business Informatics (CBI) N2 - The increasing prevalence and ubiquity of digital technologies is changing the needs and expectations of patients towards healthcare services. As a result, a plethora of patient-centered services edges into the healthcare market. Since digital technologies bear the potential to surmount barriers in time and space, patients increasingly demand real-time or near-time healthcare services. Amongst a cloud of related concepts in the context of digital health, one term increasingly typifies this impulse: on-demand healthcare. While this term can be noticeably found in practice, there is hardly some theoretical foundation so far. Against this background, the aim of this paper is to address this research gap and to explore the phenomenon of on-demand healthcare. Based on a design-science approach including a literature review and analysis of in-depth interviews and empirical cases, the outcome of this paper is twofold: (1) a conceptual framework and (2) a proposal for a definition of on-demand healthcare. KW - on-demand healthcare KW - digital health KW - mHealth KW - smart health KW - connected health KW - healthcare technologies Y1 - 2020 SN - 978-1-7281-9926-9 SN - 978-1-7281-9927-6 U6 - https://doi.org/10.1109/CBI49978.2020.00024 SP - 154 EP - 161 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Dehnert, Maik A1 - Gleiß, Alexander A1 - Reiss, Frederick T1 - What makes a data-driven business model? BT - a consolidated taxonomy T2 - ECIS Proceedings 2021 N2 - The usage of data to improve or create business models has become vital for companies in the 21st century. However, to extract value from data it is important to understand the business model. Taxonomies for data-driven business models (DDBM) aim to provide guidance for the development and ideation of new business models relying on data. In IS research, however, different taxonomies have emerged in recent years, partly redundant, partly contradictory. Thus, there is a need to synthesize the common ground of these taxonomies within IS research. Based on 26 IS-related taxonomies and 30 cases, we derive and define 14 generic building blocks of DDBM to develop a consolidated taxonomy that represents the current state-of-the-art. Thus, we integrate existing research on DDBM and provide avenues for further exploration of data-induced potentials for business models as well as for the development and analysis of general or industry-specific DDBM. Y1 - 2021 UR - https://aisel.aisnet.org/ecis2021_rp/139 SN - 978-1-7336325-6-0 PB - AIS CY - Atlanta ER - TY - CHAP A1 - Dehnert, Maik ED - Buchmann, Robert Andrei ED - Polini, Andrea ED - Johansson, Björn ED - Karagiannis, Dimitris T1 - Organizational change toward IT-supported personal advisory in incumbent banks T2 - Perspectives in business informatics research N2 - Due to changing customer behavior in digitalization, banks urge to change their traditional value creation in order to improve interaction with customers. New digital technologies such as core banking solutions change organizational structures to provide organizational and individual affordances in IT-supported personal advisory. Based on adaptive structuration theory and with qualitative data from 24 German banks, we identify first, second and third order issues of organizational change in value creation, which are connected with a set of affordances and constraints as the outcomes for customer interaction. Y1 - 2020 SN - 978-3-030-61139-2 SN - 978-3-030-61140-8 U6 - https://doi.org/10.1007/978-3-030-61140-8_14 VL - 398 SP - 205 EP - 219 PB - Springer CY - Cham ER - TY - CHAP A1 - Brinkmann, Maik T1 - Relevance of public administrations BT - visualization of shifting power relations in blockchain-based public service delivery T2 - Proceedings of the 54th Hawaii International Conference on System Sciences 2021 N2 - Power relations within the area of blockchain governance are complex by definition and a comprehensive analysis that links technological and institutional elements is missing to date. The research that is presented with this article focuses on the visualization of the shifting power relations with the introduction of blockchain. For this purpose, the analysis leverages an adjusted version of the multi-stakeholder influence mapping tool. The analysis considers the various stakeholders within the multi-layered blockchain technology stack and compares three fundamental blockchain scenarios, including public and private blockchain settings. The findings show that public administrations face indeed less power with the introduction of blockchain, while new stakeholders come into play who wield influence rather uncontrolled. Nonetheless, public administrations are not powerless overall and remain influential stakeholders. This paper concludes that blockchain governance is not as democratic as blockchain enthusiasts tend to argue and derives corresponding opportunities for further research. KW - Emerging Topics in Digital Government KW - blockchain KW - influence mapping KW - power relations KW - stakeholder analysis KW - visualization Y1 - 2021 SN - 978-0-9981331-4-0 U6 - https://doi.org/10.24251/HICSS.2021.285 PB - University of Hawaiʻi at Mānoa CY - Honolulu, HI ER - TY - CHAP A1 - Gonnermann-Müller, Jana A1 - Teichmann, Malte ED - Davis, Fred D. ED - Riedl, René ED - vom Brocke, Jan ED - Léger, Pierre-Majorique ED - Randolph, Adriane B. ED - Müller-Putz, Gernot R. T1 - Examining the learner’s cognitive load in response to different learning material in high and low immersive virtual learning environments BT - an eye-tracking study T2 - Information systems and neuroscience N2 - Learning in virtual, immersive environments must be well-designed to foster learning instead of overwhelming and distracting the learner. So far, learning instructions based on cognitive load theory recommend keeping the learning instructions clean and simple to reduce the extraneous cognitive load of the learner to foster learning performance. The advantages of immersive learning, such as multiple options for realistic simulation, movement and feedback, raise questions about the tension between an increase of excitement and flow with highly realistic environments on the one hand and a reduction of cognitive load by developing clean and simple surroundings on the other hand. This study aims to gain insights into learners' cognitive responses during the learning process by continuously assessing cognitive load through eye-tracking. The experiment compares two distinct immersive learning environments and varying methods of content presentation. Y1 - 2024 SN - 978-3-031-58395-7 SN - 978-3-031-58396-4 U6 - https://doi.org/10.1007/978-3-031-58396-4_29 VL - 68 SP - 333 EP - 344 PB - Springer CY - Cham ER -