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  1. Article ; Online: Creative and generative artificial intelligence for personalized medicine and healthcare: Hype, reality, or hyperreality?

    Shaban-Nejad, Arash / Michalowski, Martin / Bianco, Simone

    Experimental biology and medicine (Maywood, N.J.)

    2024  Volume 248, Issue 24, Page(s) 2497–2499

    MeSH term(s) Artificial Intelligence ; Precision Medicine ; Delivery of Health Care
    Language English
    Publishing date 2024-02-04
    Publishing country England
    Document type Editorial
    ZDB-ID 4015-0
    ISSN 1535-3699 ; 1525-1373 ; 0037-9727
    ISSN (online) 1535-3699 ; 1525-1373
    ISSN 0037-9727
    DOI 10.1177/15353702241226801
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Carbon Nanotubes : From Research to Applications

    Bianco, Stefano

    2011  

    Keywords Condensed matter physics (liquid state & solid state physics)
    Size 1 electronic resource (370 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021049776
    ISBN 9789535155676 ; 9535155679
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Conference proceedings ; Online: Forecasting solar wind speed from solar EUV images

    Collin, D. / Bianco, S. / Gallego, G. / SHPRITS, Y.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: One of the main sources of solar wind disturbances are coronal holes which can be identified in extreme ultra-violet (EUV) images of the Sun. Previous research has shown the connection between coronal holes and an increase of the solar wind speed at ... ...

    Abstract One of the main sources of solar wind disturbances are coronal holes which can be identified in extreme ultra-violet (EUV) images of the Sun. Previous research has shown the connection between coronal holes and an increase of the solar wind speed at Earth. In this study, we propose a new machine learning model predicting the solar wind speed originating from coronal holes. We detect coronal holes by applying a recently introduced segmentation algorithm to solar EUV images. Based on that, we derive time series of coronal hole characteristics, which are used as input to the model to predict the solar wind speed. Since coronal holes are structures that change over time, we also process their temporal evolution. We put a special focus on learning the geoeffective coronal hole areas, by splitting up the solar surface into multiple sectors of different latitudes and longitudes. This approach enables to predict the disturbances up to approximately 5 days in advance. We show that our model can accurately predict the solar wind speed with a temporal resolution of one hour during time periods when the solar wind is dominated by coronal hole activity. Moreover, we apply it to 10 years of data and compare our results to other state-of-the-art models.
    Subject code 551
    Language English
    Publishing date 2023-07-11
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: PINE-RT

    Bianco, S. / Haas, B. / SHPRITS, Y.

    Frontiers in Astronomy and Space Sciences

    An operational real-time plasmasphere model

    2023  

    Abstract: The plasmasphere is a region of cold and dense plasma around the Earth, corotating with the Earth. Its plasma density is very dynamic under the influence of the solar wind and it influences several processes such as the GPS navigation, the surface ... ...

    Abstract The plasmasphere is a region of cold and dense plasma around the Earth, corotating with the Earth. Its plasma density is very dynamic under the influence of the solar wind and it influences several processes such as the GPS navigation, the surface charging of the satellites and the propagation and growth of plasma waves. In this manuscript, we present a new machine-learning model of the equatorial plasma density depending only on the Kp index and the solar-wind properties at the L1 Lagrange point. We call this model PINE-RT as it has been inspired by the recently-introduced PINE (Plasma density in the Inner magnetosphere Neural network-based Empirical) model and it has been developed to run in real-time (RT) in the context of the PAGER project. This project is an EU Horizon 2020 project aiming at forecasting the threats of satellite charging as a consequence of the solar activity 1–2 days ahead. In PAGER, the Kp index and the solar-wind properties at L1 are the inputs which are made available for the plasmasphere modeling. We report here the detailed derivation of the PINE-RT model and its validation and comparison with two state-of-the-art machine-learning and physics-based models. The model is currently running in real-time and its predictions are publicly available.
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Conference proceedings ; Online: Prediction of Adverse effects of Geomagnetic storms and Energetic Radiation (PAGER)

    Bianco, S. / Haas, B. / SHPRITS, Y.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: The PAGER project provides space weather predictions that are initiated from observations on the Sun and predicts radiation in space and its effects on satellite infrastructure. Real-time predictions and a historical record of the dynamics of the cold ... ...

    Abstract The PAGER project provides space weather predictions that are initiated from observations on the Sun and predicts radiation in space and its effects on satellite infrastructure. Real-time predictions and a historical record of the dynamics of the cold plasma density and ring current allow for evaluation of surface charging, while predictions of relativistic electron fluxes allow for the evaluation of deep dielectric charging. The project provides a 1-2 day probabilistic forecast of ring current and radiation belt environments, which allows satellite operators to respond to predictions that present a significant threat. As a backbone of the project, we use the most advanced codes that currently exist and adapt existing codes to perform ensemble simulations and uncertainty quantification. This project includes a number of innovative tools including data assimilation and machine learning algorithms, new models of the near-Earth electromagnetic wave environment, ensemble predictions of solar wind parameters at L1, and data-driven forecasts of the geomagnetic Kp index and plasma density. The developed codes will be used for realistic modelling of extreme space weather events. The PAGER consortium is made up of leading academic and industry experts in space weather research, space physics, empirical data modelling, and space environment effects on spacecraft from Europe and the US.
    Language English
    Publishing date 2023-07-11
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Ergotherapie auf der Intensivstation

    Bianco, Sabine / Rusterholz, Floriane

    Praxis Ergotherapie

    2022  Volume 35, Issue 1, Page(s) 2–4

    Abstract: Aufgrund der aktuellen Covid-19-Situation ist die Intensivstation (IPS) mehr in den Fokus der Öffentlichkeit geraten und somit auch das Interesse an der Arbeit der dort tätigen Berufsgruppen. Die Unwissenheit über die Anwesenheit von ErgotherapeutInnen ... ...

    Abstract Aufgrund der aktuellen Covid-19-Situation ist die Intensivstation (IPS) mehr in den Fokus der Öffentlichkeit geraten und somit auch das Interesse an der Arbeit der dort tätigen Berufsgruppen. Die Unwissenheit über die Anwesenheit von ErgotherapeutInnen auf der Intensivstation und deren fachliche Ausrichtung/Fokus ist in der Gesellschaft als auch bei ÄrtzInnen, Pflegekräften und VertreterInnen anderer therapeutischer Berufsgruppen anzutreffen. Ebenso ist nur wenig Literatur/Evidenz im Kontext zur Ergotherapie in diesem Setting zu finden. Aus diesem Grund wurde 2018 in der Schweiz der Qualitätszirkel "Ergotherapie auf der Intensivstation" ins Leben gerufen, der im Juni 2021 einen Leitfaden mit einem Entscheidungspfad für die Indikation der Ergotherapie auf der Intensivstation in der Fachzeitschrift des ErgotherapeutInnen-Verbands Schweiz (EVS) publiziert hat. Dieser Leitfaden zeigt zuweisenden Berufsgruppen auf, ab wann und bei welchen Problematiken Ergotherapie im interdisziplinären Setting zielführend eingesetzt werden kann.
    Keywords Intensivstation ; Leitfaden ; Qualitätszirkel
    Language German
    Document type Article
    ZDB-ID 384295-2
    ISSN 0932-9692
    ISSN 0932-9692
    Database bibnet.org

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 3266: Show issues Location:
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  7. Article: Herausforderungen der Ergotherapie auf der Intensivstation

    Bianco, Sabine / Rusterholz, Floriane

    Praxis Ergotherapie

    2022  Volume 35, Issue 3

    Abstract: Schwerbetroffene, intensivpflichtige PatientInnen weisen einen grossen (ergotherapeutischen) Behandlungsbedarf auf. Dies ist im Fachartikel "Ergotherapie auf der Intensivstation" (praxis ergotherapie, Ausgabe 01/2022, S. 105-107) deutlich geworden. In ... ...

    Abstract Schwerbetroffene, intensivpflichtige PatientInnen weisen einen grossen (ergotherapeutischen) Behandlungsbedarf auf. Dies ist im Fachartikel "Ergotherapie auf der Intensivstation" (praxis ergotherapie, Ausgabe 01/2022, S. 105-107) deutlich geworden. In diesem Folgeartikel möchten wir den Schwerpunkt auf die Herausforderungen legen, welche die Arbeit als ErgotherapeutIn auf einer Intensivstation mit sich bringt, und hervorheben, wie wichtig das Anpacken dieser Hindernisse für den Genesungsverlauf der PatientInnen ist.
    Keywords Intensivstation ; Eisenhower Skala
    Language German
    Size 35(2022), H. 3, S. 130-5
    Document type Article
    ZDB-ID 384295-2
    ISSN 0932-9692
    ISSN 0932-9692
    Database bibnet.org

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  8. Article ; Online: Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning

    Inceoglu, F. / SHPRITS, Y. / Heinemann, S. / Bianco, S.

    The Astrophysical Journal

    2022  

    Abstract: Through its magnetic activity, the Sun governs the conditions in Earth's vicinity, creating space weather events, which have drastic effects on our space- and ground-based technology. One of the most important solar magnetic features creating the space ... ...

    Abstract Through its magnetic activity, the Sun governs the conditions in Earth's vicinity, creating space weather events, which have drastic effects on our space- and ground-based technology. One of the most important solar magnetic features creating the space weather is the solar wind that originates from the coronal holes (CHs). The identification of the CHs on the Sun as one of the source regions of the solar wind is therefore crucial to achieve predictive capabilities. In this study, we used an unsupervised machine-learning method, k-means, to pixel-wise cluster the passband images of the Sun taken by the Atmospheric Imaging Assembly on the Solar Dynamics Observatory in 171, 193, and 211 Å in different combinations. Our results show that the pixel-wise k-means clustering together with systematic pre- and postprocessing steps provides compatible results with those from complex methods, such as convolutional neural networks. More importantly, our study shows that there is a need for a CH database where a consensus about the CH boundaries is reached by observers independently. This database then can be used as the "ground truth," when using a supervised method or just to evaluate the goodness of the models.
    Language English
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Unveiling the Machinery behind Chromosome Folding by Polymer Physics Modeling.

    Conte, Mattia / Esposito, Andrea / Vercellone, Francesca / Abraham, Alex / Bianco, Simona

    International journal of molecular sciences

    2023  Volume 24, Issue 4

    Abstract: Understanding the mechanisms underlying the complex 3D architecture of mammalian genomes poses, at a more fundamental level, the problem of how two or multiple genomic sites can establish physical contacts in the nucleus of the cells. Beyond stochastic ... ...

    Abstract Understanding the mechanisms underlying the complex 3D architecture of mammalian genomes poses, at a more fundamental level, the problem of how two or multiple genomic sites can establish physical contacts in the nucleus of the cells. Beyond stochastic and fleeting encounters related to the polymeric nature of chromatin, experiments have revealed specific, privileged patterns of interactions that suggest the existence of basic organizing principles of folding. In this review, we focus on two major and recently proposed physical processes of chromatin organization: loop-extrusion and polymer phase-separation, both supported by increasing experimental evidence. We discuss their implementation into polymer physics models, which we test against available single-cell super-resolution imaging data, showing that both mechanisms can cooperate to shape chromatin structure at the single-molecule level. Next, by exploiting the comprehension of the underlying molecular mechanisms, we illustrate how such polymer models can be used as powerful tools to make predictions in silico that can complement experiments in understanding genome folding. To this aim, we focus on recent key applications, such as the prediction of chromatin structure rearrangements upon disease-associated mutations and the identification of the putative chromatin organizing factors that orchestrate the specificity of DNA regulatory contacts genome-wide.
    MeSH term(s) Animals ; Polymers/chemistry ; Chromosomes ; Chromatin ; Cell Nucleus/chemistry ; Physics ; Mammals/genetics
    Chemical Substances Polymers ; Chromatin
    Language English
    Publishing date 2023-02-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24043660
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Complete Response of a Mutated BRCA2 Metastatic Clear Cell Endometrial Adenocarcinoma to the Poly (ADP ribose) Polymerase (PARP) Inhibitor Olaparib.

    Anzellini, Dimitri / Arcangeli, Gianluca / Del Bianco, Sergio

    Cancer diagnosis & prognosis

    2022  Volume 2, Issue 1, Page(s) 84–86

    Abstract: Background: Cancer of the endometrium is the most common gynecologic malignancy in developed countries and the second most common in developing countries. Endometrioid tumors tend to have a favorable prognosis and typically present at an early stage ... ...

    Abstract Background: Cancer of the endometrium is the most common gynecologic malignancy in developed countries and the second most common in developing countries. Endometrioid tumors tend to have a favorable prognosis and typically present at an early stage with abnormal uterine bleeding. Clear cell carcinoma as well as serous endometrial carcinoma are associated with a poorer prognosis. Patients with metastatic endometrial cancer are treated with systemic therapy either following surgery or as primary therapy. As far as second-line chemotherapy is concerned, there are no general agreements on the chemotherapy to be used. Furthermore, to the best of knowledge, there are no studies on the use of poly (ADP ribose) polymerase (PARP) inhibitors in endometrial cancer even in BRCA mutated tumors.
    Case report: We here present the case report of an 81-year-old woman with a mutated BRCA2 metastatic clear cell endometrial adenocarcinoma that showed an excellent clinical and radiological response to the PARP inhibitor olaparib.
    Conclusion: Olaparib could be successfully used in this patient setting.
    Language English
    Publishing date 2022-01-03
    Publishing country Greece
    Document type Case Reports
    ISSN 2732-7787
    ISSN (online) 2732-7787
    DOI 10.21873/cdp.10080
    Database MEDical Literature Analysis and Retrieval System OnLINE

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