Copenhagen Center for Health Technology

2021

Watch that Seam! Designing Hybrid Presentations with Data Visualisation in Augmented Reality

Bravo, A., Maier, A. & Cash, P., 2021, In: International Journal of Design. 15, 2, 15 p.

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2020

Designing P4 - Predictive, Preventive, Personalised and Participative - Healthcare Interventions for Managing Cognitive Decline and Dementia: Where are we at?

Patou, F., Ciccone, N., Thorpe, J. R. & Maier, A., 2020, In: Journal of Engineering Design. 31, 7, p. 379-398

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Migration studies and toxicity evaluation of cyclic polyesters oligomers from food packaging adhesives

Ubeda, S., Aznar, M., Rosenmai, A. K., Vinggaard, A. M. & Nerín, C., 2020, In: Food Chemistry. 311, 10 p., 125918.

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2019

Activity-Centric Computing Systems

Bardram, J. E., Jeuris, S. T., Tell, P., Houben, S. & Voida, S., 2019, In: Communications of the ACM. 62, 8, p. 72-81

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Affordable Fabrication of Conductive Electrodes and Dielectric Films for a Paper-based Digital Microfluidic Chip

Soum, V., Kim, Y., Park, S., Chuong, M., Ryu, S. R., Lee, S. H., Tanev, G. P., Madsen, J., Kwon, O.-S. & Shin, K., 2019, In: Micromachines. 10, 2, 10 p., 109.

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A four-step model for diagnosing knowledge transfer challenges from operations into engineering design

Souza da Conceição, C., Broberg, O., Paravizo, E. & Jensen, A. R. V., 2019, In: International Journal of Industrial Ergonomics. 69, p. 163-172

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A hydrodynamic flow focusing microfluidic device for the continuous production of hexosomes based on docosahexaenoic acid monoglyceride

Yaghmur, A., Ghazal, A., Ghazal, R., Dimaki, M. & Svendsen, W. E., 2019, In: Physical Chemistry Chemical Physics. 21, 24, p. 13005-13013 9 p.

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A pragmatic approach for human risk assessment of chemical mixtures

Boberg, J., Dybdahl, M., Petersen, A., Hass, U., Svingen, T. & Vinggaard, A. M., 2019, In: Current Opinion in Toxicology. 15, p. 1-7

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Chemical risk assessment based on in vitro and human biomonitoring data: A case study on thyroid toxicants

Johansson, H. K. L., Boberg, J., Dybdahl, M., Axelstad, M. & Vinggaard, A. M., 2019, In: Current Opinion in Toxicology. 15, p. 8-17

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Cooperative Resource Allocation and Scheduling for 5G eV2X Services

Bonjorn, N., Foukalas, F., Canellas Cruz, F. & Pop, P., 2019, In: IEEE Access. 7, p. 58212-58220 10 p.

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Distinct transcriptional profiles of the female, male and finasteride-induced feminized male anogenital region in rat fetuses

Lindgren Schwartz, C. V., Vinggaard, A. M., Christiansen, S., Darde, T. A., Chalmel, F. & Svingen, T., 2019, In: Toxicological Sciences. 169, 1, p. 303-311

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External validation of a data‐driven algorithm for muscular activity identification during sleep

Cesari, M., Christensen, J. A. E., Sørensen, H. B. D., Jennum, P., Mollenhauer, B., Muntean, M., Trenkwalder, C. & Sixel-Döring, F., 2019, In: Journal of Sleep Research. 28, 6, 14 p., e12868.

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Formation of Pseudomonas aeruginosa inhibition zone during Tobramycin disk diffusion is due to a transition from planktonic to biofilm mode of growth

Høiby, N., Henneberg, K.-Å., Wang, H., Stavnsbjerg, C., Bjarnsholt, T., Ciofu, O., Johansen, U. R. & Sams, T., 2019, In: International Journal of Antimicrobial Agents. 53, 5, p. 564-573

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Future research on information technology in knowledge management

Sarka, P., Heisig, P., Caldwell, N. H. M., Maier, A. M. & Ipsen, C., 2019, In: Knowledge and Process Management. 26, 3, p. 277-296 20 p.

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Impact of the gut microbiota on chemical risk assessment

Licht, T. R. & Bahl, M. I., 2019, In: Current Opinion in Toxicology. 15, p. 109-113

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Is smartphone-based mood instability associated with stress, quality of life and functioning in bipolar disorder?

Faurholt-Jepsen, M., Frost, M., Busk, J., Christensen, E. M., Bardram, J. E., Vinberg, M. & Kessing, L. V., 2019, In: Bipolar Disorders (English Edition, Online). 21, 7, p. 611-620 10 p.

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NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning

Klausen, M. S., Jespersen, M. C., Nielsen, H., Jensen, K. K., Jurtz, V. I., Sønderby, C. K., Sommer, M. O. A., Winther, O., Nielsen, M., Petersen, B. & Marcatili, P., 2019, In: Proteins: Structure, Function, and Bioinformatics. 87, 6, p. 520-527 8 p.

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Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology

Hanif, U. R., Schneider, L. D., Trap, L., Leary, E. B., Moore, H., Guilleminault, C., Jennum, P., Sørensen, H. B. D. & Mignot, E. J. M., 2019, In: Physiological Measurement. 40, 2, 11 p., 025008 .

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Optical Radiomic Signatures Derived from Optical Coherence Tomography Images to Improve Identification of Melanoma

Turani, Z., Fatemizadeh, E., Blumetti, T., Daveluy, S., Moraes, A. F., Chen, W., Mehregan, D., Andersen, P. E. & Nasiriavanaki, M., 2019, In: Cancer Research. 79, 8, p. 2021-2030

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Unmixing oscillatory brain activity by EEG source localization and empirical mode decomposition

Hansen, S. T., Hemakom, A., Gylling Safeldt, M., Krohne, L. K., Madsen, K. H., Siebner, H. R., Mandic, D. P. & Hansen, L. K., 1 Jan 2019, In: Computational Intelligence and Neuroscience. 2019, 16 p., 5618303.

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Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial

Roager, H. M., Vogt, J. K., Kristensen, M., Hansen, L. B. S., Ibrügger, S., Mærkedahl, R. B., Bahl, M. I., Lind, M. V., Nielsen, R. L., Frøkiær, H., Gøbel, R. J., Landberg, R., Ross, A. B., Brix, S., Holck, J., Meyer, A. S., Sparholt, M. H., Christensen, A. F., Carvalho, V. & Holst, J. J. & 17 others, Rumessen, J. J., Linneberg, A., Sicheritz-Pontén, T., Dalgaard, M. D., Blennow, A., Frandsen, H. L., Villas-Bôas, S. G., Kristiansen, K., Vestergaard, H., Hansen, T., Ekstrøm, C. T., Ritz, C., Nielsen, H. B., Pedersen, O. B., Gupta, R., Lauritzen, L. & Licht, T. R., 2019, In: Gut. 68, 1, p. 83-93

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Workshop on the validation and regulatory acceptance of innovative 3R approaches in regulatory toxicology - Evolution versus revolution

Burgdorf, T., Piersma, A. H., Landsiedel, R., Clewell, R., Kleinstreuer, N., Oelgeschläger, M., Desprez, B., Kienhuis, A., Bos, P., de Vries, R., de Wit, L., Seidle, T., Scheel, J., Schönfelder, G., van Benthem, J., Vinggaard, A. M., Eskes, C. & Ezendam, J., 2019, In: Toxicology in Vitro. 59, p. 1-11

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2018

Aberrant intestinal microbiota in individuals with prediabetes

Allin, K. H., Tremaroli, V., Caesar, R., Jensen, B. A. H., Damgaard, M. T. F., Bahl, M. I., Rask Licht, T., Hansen, T. H., Nielsen, T., Dantoft, T. M., Linneberg, A., Jørgensen, T., Vestergaard, H., Kristiansen, K., Franks, P. W., Hansen, T., Bäckhed, F., Pedersen, O. & the IMI-DIRECT consortium, 29 Jan 2018, In: Diabetologia. 61, 4, p. 810-820

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Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients

Ebdrup, B. H., Axelsen, M. C., Bak, N., Fagerlund, B., Oranje, B., Raghava, J. M., Nielsen, M. Ø., Rostrup, E., Hansen, L. K. & Glenthøj, B. Y., 2018, In: Psychological Medicine. 49, 16, p. 2754-2763

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Antibiotic treatment of rat dams affects bacterial colonization and causes decreased weight gain in pups

Tulstrup, M.V.-L., Roager, H. M., Thaarup, I. C., Frandsen, H. L., Frøkiær, H., Licht, T. R. & Bahl, M. I., 2018, In: Communications Biology. 1, 1, 13 p., 145.

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Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review: Systematic Review

Rohani, D. A., Faurholt-Jepsen, M., Kessing, L. V. & Bardram, J. E., 2018, In: J M I R mHealth and uHealth. 6, 8, 21 p., e165.

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Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study.

Rohani, D. A., Tuxen, N., Quemada Lopategui, A., Kessing, L. V. & Bardram, J. E., 2018, In: J M I R Mental Health. 5, 2, 12 p., e10122.

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Design process robustness: A bi-partite network analysis reveals the central importance of people

Piccolo, S., Jørgensen, S. L. & Maier, A., 2018, In: Design Science. 4, e1.

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Differential bacterial capture and transport preferences facilitate co-growth on dietary xylan in the human gut

Leth, M. L., Ejby, M., Workman, C., Ewald, D. A., Pedersen, S. S., Sternberg, C., Bahl, M. I., Licht, T. R., Aachmann, F. L., Westereng, B. & Abou Hachem, M., 2018, In: Nature Microbiology. 13 p.

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Effects on metabolic parameters in young rats born with low birth weight after exposure to a mixture of pesticides

Svingen, T., Ramhøj, L., Egebjerg, K. M., Christiansen, S., Petersen, M. A., Vinggaard, A. M. & Hass, U., 2018, In: Scientific Reports. 8, 10 p., 305.

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Erratum to: The OECD validation program of the H295R steroidogenesis assay: Phase 3. Final inter-laboratory validation study

Hecker, M., Hollert, H., Cooper, R., Vinggaard, A. M., Akahori, Y., Murphy, M., Nellemann, C., Higley, E., Newsted, J., Laskey, J., Buckalew, A., Grund, S., Maletz, S., Giesy, J. & Timm, G., 2018, In: Environmental Science and Pollution Research. 25, 15, p. 15265–15267

Research output: Contribution to journal › Journal article › Communication

Exposure to a glyphosate-based herbicide formulation, but not glyphosate alone, has only minor effects on adult rat testis

Johansson, H. K. L., Schwartz, C. L., Nielsen, L. N., Boberg, J., Vinggaard, A. M., Bahl, M. I. & Svingen, T., 2018, In: Reproductive Toxicology. 82, p. 25-31 7 p.

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Glyphosate has limited short-term effects on commensal bacterial community composition in the gut environment due to sufficient aromatic amino acid levels

Nielsen, L. N., Roager, H. M., Casas, M. E., Frandsen, H. L., Gosewinkel, U., Bester, K., Licht, T. R., Hendriksen, N. B. & Bahl, M. I., 2018, In: Environmental Pollution. 233, p. 364-376

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MCmatlab: an open-source, user-friendly, MATLAB-integrated three-dimensional Monte Carlo light transport solver with heat diffusion and tissue damage

Marti, D., Aasbjerg, R. N., Andersen, P. E. & Hansen, A. K., 2018, In: Journal of Biomedical Optics. 23, 12, 7 p., 121622.

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Medicinafstemning

Birkeland, S. F., Gerdes, U., Tomsen, D. V., Andersen, H. B. & von Plessen, C., 2018, In: Ugeskrift for Laeger. 180, p. 2-5 V12170918.

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Neural network analysis of sleep stages enables efﬁcient diagnosis of narcolepsy

Stephansen, J. B., Olesen, A. N., Olsen, M., Ambati, A., Leary, E. B., Moore, H. E., Carrillo, O., Lin, L., Yan, F., Sun, Y. L., Dauvilliers, Y., Scholz, S., Barateau, L., Hogl, B., Stefani, A., Hong, S. C., Kim, T. W., Pizza, F., Plazzi, G. & Vandi, S. & 9 others, Antelmi, E., Perrin, D., Kuna, S. T., Schweitzer, P. K., Kushida, C., Peppard, P. E., Sørensen, H. B. D., Jennum, P. & Mignot, E., 2018, In: Nature Communications. 2018, 9, 15 p., 5229 .

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Neuroimaging markers of global cognition in early Alzheimer's disease: A magnetic resonance imaging-electroencephalography study

Waser, M., Benke, T., Dal-Bianco, P., Garn, H., Mosbacher, J. A., Ransmayr, G., Schmidt, R., Seiler, S., Sørensen, H. B. D. & Jennum, P. J., 2018, In: Brain and Behavior. 11 p., e01197.

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Paper-based sensors for rapid detection of virulence factor produced by Pseudomonas aeruginosa

Alatraktchi, F. A., Noori, J. S., Tanev, G. P., Mortensen, J., Dimaki, M., Johansen, H. K., Madsen, J., Molin, S. & Svendsen, W. E., 2018, In: P L o S One. 13, 3, 9 p., e0194157.

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The chaperone effect in scientific publishing

Sekara, V., Deville, P., Ahnert, S. E., Barabási, A.-L., Sinatra, R. & Lehmann, S., 2018, In: Proceedings of the National Academy of Sciences of the United States of America. 115, 50, p. 12603-12607

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Workshop on acceleration of the validation and regulatory acceptance of alternative methods and implementation of testing strategies

Piersma, A. H., Burgdorf, T., Louekari, K., Desprez, B., Taalman, R., Landsiedel, R., Barroso, J., Rogiers, V., Eskes, C., Oelgeschläger, M., Whelan, M., Braeuning, A., Vinggaard, A. M., Kienhuis, A., van Benthem, J. & Ezendam, J., 1 Aug 2018, In: Toxicology in Vitro. 50, p. 62-74

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2017

A Combination of Machine Learning and Cerebellar-like Neural Networks for the Motor Control and Motor Learning of the Fable Modular Robot

Baira Ojeda, I., Tolu, S., Pacheco, M., Christensen, D. J. & Lund, H. H., 2017, In: Journal of Robotics, Networking and Artificial Life. 4, 1, p. 62–66

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Adaptive control in an artificial pancreas for people with type 1 diabetes

Boiroux, D., Duun-Henriksen, A. K., Schmidt, S., Nørgaard, K., Poulsen, N. K., Madsen, H. & Jørgensen, J. B., 2017, In: Control Engineering Practice. 58, p. 332–342 11 p.

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Administration of two probiotic strains during early childhood does not affect the endogenous gut microbiota composition despite probiotic proliferation

Laursen, M. F., Laursen, R. P., Larnkjær, A., Michaelsen, K. F., Bahl, M. I. & Licht, T. R., 2017, In: B M C Microbiology. 17, 1, 9 p., 175.

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A framework of knowledge creation processes in participatory simulation of hospital work systems

Andersen, S. N. & Broberg, O., 2017, In: Ergonomics. 40 p.

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A least squares approach for efficient and reliable short-term versus long-term optimization

Christiansen, L. H., Capolei, A. & Jørgensen, J. B., 2017, In: Computational Geosciences. 21, 3, p. 411-26

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An effect-directed strategy for characterizing emerging chemicals in food contact materials made from paper and board

Rosenmai, A. K., Bengtström, L., Taxvig, C., Trier, X., Petersen, J. H., Svingen, T., Binderup, M.-L., van Vugt-Lussenburg, B. M. A., Dybdahl, M., Granby, K. & Vinggaard, A. M., 2017, In: Food and Chemical Toxicology. 106, Part A, p. 250-259

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A New Wavelet-Based ECG Delineator for the Evaluation of the Ventricular Innervation

Cesari, M., Mehlsen, J., Mehlsen, A.-B. & Sørensen, H. B. D., 2017, In: I E E E Journal of Translational Engineering in Health and Medicine. 5, 15 p.

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An introduction to Deep learning on biological sequence data - Examples and solutions

Jurtz, V. I., Johansen, A. R., Nielsen, M., Almagro Armenteros, J. J., Nielsen, H., Kaae Sønderby, C., Winther, O. & Kaae Sønderby, S., 2017, In: Bioinformatics. 33, 22, p. 3685-3690

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Contact activity and dynamics of the social core

Mones, E., Stopczynski, A. & Jørgensen, S. L., 2017, In: E P J Data Science. 6, 1, 16 p.

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Correlations between human mobility and social interaction reveal general activity patterns

Mollgaard, A., Jørgensen, S. L. & Mathiesen, J., 2017, In: P L o S One. 12, 12, 16 p., e0188973.

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