Institut für Medizintechnik und Medizininformatik
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/23
Listen
32 Ergebnisse
Ergebnisse nach Hochschule und Institut
Publikation Automatische Datenextraktion aus Anamnesebögen(Hochschule für Life Sciences FHNW, 2024) Kamber, Lukas; Kahraman, Abdullah; Universität Zürich11 - Studentische ArbeitPublikation Characterization of cells for In-Vitro Fertilization(Hochschule für Life Sciences, 2024) Braun Ponce de Leon, Andreas; Nahum, Uri; Smart-Pick GmbH; Universitätsspital Basel, Basel11 - Studentische ArbeitPublikation GPS für das Becken. 3D Visualisierung von anatomischen Strukturen(Hochschule für Life Sciences FHNW, 2024) Bopp, Nicolas; Brodbeck, Dominique; Universitätsspital Zürich (USZ), Zürich11 - Studentische ArbeitPublikation Author Correction. The dengue-specific immune response and antibody identification with machine learning(Nature, 20.01.2024) Natali, Eriberto Noel; Horst, Alexander; Meier, Patrick; Greiff, Victor; Nuvolone, Mario; Babrak, Lmar Marie; Fink, Katja; Miho, EnkelejdaDengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation The dengue-specific immune response and antibody identification with machine learning(Nature, 20.01.2024) Natali, Eriberto Noel; Horst, Alexander; Meier, Patrick; Greiff, Victor; Nuvolone, Mario; Babrak, Lmar Marie; Fink, Katja; Miho, EnkelejdaDengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Kidins220 regulates the development of B cells bearing the λ light chain(eLife Sciences Publications, 25.01.2024) Schaffer, Anna-Maria; Fiala, Gina Jasmin; Hils, Miriam; Natali, Eriberto; Babrak, Lmar; Herr, Laurenz Alexander; Romero-Mulero, Mari Carmen; Cabezas-Wallscheid, Nina; Rizzi, Marta; Miho, Enkelejda; Schamel, Wolfgang W.A.; Minguet, SusanaThe ratio between κ and λ light chain (LC)-expressing B cells varies considerably between species. We recently identified Kinase D-interacting substrate of 220 kDa (Kidins220) as an interaction partner of the BCR. In vivo ablation of Kidins220 in B cells resulted in a marked reduction of λLC-expressing B cells. Kidins220 knockout B cells fail to open and recombine the genes of the Igl locus, even in genetic scenarios where the Igk genes cannot be rearranged or where the κLC confers autoreactivity. Igk gene recombination and expression in Kidins220-deficient B cells is normal. Kidins220 regulates the development of λLC B cells by enhancing the survival of developing B cells and thereby extending the time-window in which the Igl locus opens and the genes are rearranged and transcribed. Further, our data suggest that Kidins220 guarantees optimal pre-BCR and BCR signaling to induce Igl locus opening and gene recombination during B cell development and receptor editing.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Geometric cuts by an autonomous laser osteotome increase stability in mandibular reconstruction with free fibula grafts. A cadaver study(Elsevier, 2024) Gottsauner, Maximilian; Morawska, Marta M.; Tempel, Simon; Müller-Gerbl, Magdalena; Dalcanale, Federico; de Wild, Michael; Ettl, TobiasBackground Nonunion and plate exposure represent a major complication after mandibular reconstruction with free fibula flaps. These drawbacks may be resolved by geometric osteotomies increasing intersegmental bone contact area and stability. Purpose The aim of this study was to compare intersegmental bone contact and stability of geometric osteotomies to straight osteotomies in mandibular reconstructions with free fibula grafts performed by robot-guided erbium-doped yttrium aluminum garnet laser osteotomy.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Geometric cuts by an autonomous laser osteotome increase stability in mandibular reconstruction with free fibula grafts. A cadaver study(Elsevier, 2024) Gottsauner, Maximilian; Morawska, Marta M.; Tempel, Simon; Müller-Gerbl, Magdalena; Dalcanale, Federico; de Wild, Michael; Ettl, Tobias01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Low-coercivity perpendicular spin transfer torque magnetic tunnel junctions as nanoscale magnetic sensors(IEEE, 09/2023) Nicolas, Hugo; Sousa, Ricardo C.; Mora-Hernández, Ariam; Prejbeanu, Ioan-Lucian; Hebrard, Luc; Kammerer, Jean-Baptiste; Pascal, JorisThis paper presents the use of the spin transfer torque effect in perpendicular magnetic tunnel junctions to operate the devices as magnetic sensors. The junctions, specifically designed for sensing applications exhibit close to low-coercivity, allowing the sensitivity to be as high as 25 mV/mT for a large dynamic range of 20 mT. In addition, the junctions have diameters ranging from 20 to 100 nanometers, making them among the smallest magnetic sensing elements ever reported to our knowledge. A single operational amplifier operates the junction and outputs a voltage proportional to the external magnetic field. This paper opens the way to a monolithic integration of both the conditioning electronics and the perpendicular magnetic tunnel junction.04B - Beitrag KonferenzschriftPublikation Conditioning circuits for nanoscale perpendicular spin transfer torque magnetic tunnel junctions as magnetic sensors(IEEE, 2023) Nicolas, Hugo; Sousa, Ricardo C.; Mora-Hernández, Ariam; Prejbeanu, Ioan-Lucian; Hebrard, Luc; Kammerer, Jean-Baptiste; Pascal, JorisThis article demonstrates a new type of magnetic sensor using a perpendicular spin transfer torque magnetic tunnel junction (MTJ). The sensing element has a cylindrical shape of 50 nm in diameter and is to our knowledge among the smallest magnetic sensor ever reported. This article describes the principle of operation of the sensing element and the associated signal processing electronics, which delivers a signal proportional to the external magnetic field. Experimental results are detailed and compared to the state-of-the-art commercially available integrated magnetic sensors as well as published magnetoresistive sensors based on MTJs with comparable size. The measured sensitivity of the developed sensor is 1.28 V/T, and its dynamic range reaches 80 mT. The measured noise level is 21.8μT/√ Hz. Two different operating principles of the proposed sensor are described and compared, one based on a time-to-digital converter and one based on a pulsewidth-modulated (PWM) signal. Both methods require only standard microelectronics components, which are suitable for monolithic integration of the sensing element with its conditioning electronics. Subsequent improvements of the sensing element as well as conditioning electronics are required to further lower the noise level. The sensing element and its conditioning electronics are compatible with fabrication processes already used in magnetic random access memory fabrication. This opens the way to mass production and addresses various markets, such as consumer electronics, automotive, industrial sensing, physics experiments, or medical devices.01A - Beitrag in wissenschaftlicher Zeitschrift