Search Results - "Brüningk, Sarah"

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    3D tumour spheroids for the prediction of the effects of radiation and hyperthermia treatments by Brüningk, Sarah C., Rivens, Ian, Box, Carol, Oelfke, Uwe, ter Haar, Gail

    Published in Scientific reports (03-02-2020)
    “…For multimodality therapies such as the combination of hyperthermia and radiation, quantification of biological effects is key for dose prescription and…”
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    Data-driven prediction of spinal cord injury recovery: An exploration of current status and future perspectives by Håkansson, Samuel, Tuci, Miklovana, Bolliger, Marc, Curt, Armin, Jutzeler, Catherine R., Brüningk, Sarah C.

    Published in Experimental neurology (01-10-2024)
    “…Spinal Cord Injury (SCI) presents a significant challenge in rehabilitation medicine, with recovery outcomes varying widely among individuals. Machine learning…”
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    Focused Ultrasound-Mediated Hyperthermia in Vitro: An Experimental Arrangement for Treating Cells under Tissue-Mimicking Conditions by Brüningk, Sarah C, Rivens, Ian, Mouratidis, Petros, ter Haar, Gail

    Published in Ultrasound in medicine & biology (01-12-2019)
    “…AbstractAn experimental arrangement that allows in vitro exposure of cells to focused ultrasound-mediated hyperthermia (43°C–55°C) in a tissue-mimicking…”
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  4. 4

    A cellular automaton model for spheroid response to radiation and hyperthermia treatments by Brüningk, Sarah C., Ziegenhein, Peter, Rivens, Ian, Oelfke, Uwe, Haar, Gail ter

    Published in Scientific reports (27-11-2019)
    “…Thermo-radiosensitisation is a promising approach for treatment of radio-resistant tumours such as those containing hypoxic subregions. Response prediction and…”
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    Characterization of Acoustic, Cavitation, and Thermal Properties of Poly(vinyl alcohol) Hydrogels for Use as Therapeutic Ultrasound Tissue Mimics by Braunstein, Lisa, Brüningk, Sarah C., Rivens, Ian, Civale, John, Haar, Gail ter

    Published in Ultrasound in medicine & biology (01-06-2022)
    “…The thermal and mechanical effects induced in tissue by ultrasound can be exploited for therapeutic applications. Tissue-mimicking materials (TMMs), reflecting…”
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    A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules by Ghaderi, Nima, Jung, Joseph, Brüningk, Sarah C, Subramanian, Ajay, Nassour, Lauren, Peacock, Jeffrey

    “…Radiotherapy is involved in 50% of all cancer treatments and 40% of cancer cures. Most of these treatments are delivered in fractions of equal doses of…”
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  8. 8

    Intermittent radiotherapy as alternative treatment for recurrent high grade glioma: a modeling study based on longitudinal tumor measurements by Brüningk, Sarah C., Peacock, Jeffrey, Whelan, Christopher J., Brady-Nicholls, Renee, Yu, Hsiang-Hsuan M., Sahebjam, Solmaz, Enderling, Heiko

    Published in Scientific reports (12-10-2021)
    “…Recurrent high grade glioma patients face a poor prognosis for which no curative treatment option currently exists. In contrast to prescribing high dose…”
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    Studying missingness in spinal cord injury data: challenges and impact of data imputation by Bourguignon, Lucie, Lukas, Louis P, Guest, James D, Geisler, Fred H, Noonan, Vanessa, Curt, Armin, Brüningk, Sarah C, Jutzeler, Catherine R

    Published in BMC medical research methodology (06-01-2024)
    “…In the last decades, medical research fields studying rare conditions such as spinal cord injury (SCI) have made extensive efforts to collect large-scale data…”
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  10. 10

    A comprehensive model for heat-induced radio-sensitisation by Brüningk, Sarah Catharina, Ijaz, Jannat, Rivens, Ian, Nill, Simeon, Ter Haar, Gail, Oelfke, Uwe

    Published in International journal of hyperthermia (01-06-2018)
    “…Combined radiotherapy (RT) and hyperthermia (HT) treatments may improve treatment outcome by heat induced radio-sensitisation. We propose an empirical cell…”
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    Exploring the potential of routine serological markers in predicting neurological outcomes in spinal cord injury by Matthias, Jan, Lukas, Louis P., Brüningk, Sarah C., Maier, Doris, Mach, Orpheus, Grassner, Lukas, Kramer, John L.K., Bourguignon, Lucie, Jutzeler, Catherine R.

    Published in Experimental neurology (01-10-2024)
    “…Spinal cord injury (SCI) is a rare condition with a heterogeneous presentation, making the prediction of recovery challenging. However, serological markers…”
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  12. 12

    Prediction of segmental motor outcomes in traumatic spinal cord injury: Advances beyond sum scores by Brüningk, Sarah C., Bourguignon, Lucie, Lukas, Louis P., Maier, Doris, Abel, Rainer, Weidner, Norbert, Rupp, Rüdiger, Geisler, Fred, Kramer, John L.K., Guest, James, Curt, Armin, Jutzeler, Catherine R.

    Published in Experimental neurology (01-10-2024)
    “…Neurological and functional recovery after traumatic spinal cord injury (SCI) is highly challenged by the level of the lesion and the high heterogeneity in…”
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    reComBat: batch-effect removal in large-scale multi-source gene-expression data integration by Adamer, Michael F, Brüningk, Sarah C, Tejada-Arranz, Alejandro, Estermann, Fabienne, Basler, Marek, Borgwardt, Karsten

    Published in Bioinformatics advances (2022)
    “…With the steadily increasing abundance of omics data produced all over the world under vastly different experimental conditions residing in public databases, a…”
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    Quantification of Differential Response of Tumour and Normal Cells to Microbeam Radiation in the Absence of FLASH Effects by Steel, Harriet, Brüningk, Sarah C, Box, Carol, Oelfke, Uwe, Bartzsch, Stefan H

    Published in Cancers (29-06-2021)
    “…Microbeam radiotherapy (MRT) is a preclinical method of delivering spatially-fractionated radiotherapy aiming to improve the therapeutic window between normal…”
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  16. 16

    EUD‐based biological optimization for carbon ion therapy by Brüningk, Sarah C., Kamp, Florian, Wilkens, Jan J.

    Published in Medical physics (Lancaster) (01-11-2015)
    “…Purpose: Treatment planning for carbon ion therapy requires an accurate modeling of the biological response of each tissue to estimate the clinical outcome of…”
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    Biomarker identification by interpretable maximum mean discrepancy by Adamer, Michael F, Brüningk, Sarah C, Chen, Dexiong, Borgwardt, Karsten

    Published in Bioinformatics (Oxford, England) (28-06-2024)
    “…Abstract Motivation In many biomedical applications, we are confronted with paired groups of samples, such as treated versus control. The aim is to detect…”
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    A review of mechanistic learning in mathematical oncology by Metzcar, John, Jutzeler, Catherine R, Macklin, Paul, Köhn-Luque, Alvaro, Brüningk, Sarah C

    Published in Frontiers in immunology (12-03-2024)
    “…Mechanistic learning refers to the synergistic combination of mechanistic mathematical modeling and data-driven machine or deep learning. This emerging field…”
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