@article{DeebGiordanoRossietal.2016,
  author    = {Deeb, Wissam and Giordano, James J. and Rossi, Peter J. and Mogilner, Alon Y. and Gunduz, Aysegul and Judy, Jack W. and Klassen, Bryan T. and Butson, Christopher R. and Van Horne, Craig and Deny, Damiaan and Dougherty, Darin D. and Rowell, David and Gerhardt, Greg A. and Smith, Gwenn S. and Ponce, Francisco A. and Walker, Harrison C. and Bronte-Stewart, Helen M. and Mayberg, Helen S. and Chizeck, Howard J. and Langevin, Jean-Philippe and Volkmann, Jens and Ostrem, Jill L. and Shute, Jonathan B. and Jimenez-Shahed, Joohi and Foote, Kelly D. and Wagle Shukla, Aparna and Rossi, Marvin A. and Oh, Michael and Pourfar, Michael and Rosenberg, Paul B. and Silburn, Peter A. and de Hemptine, Coralie and Starr, Philip A. and Denison, Timothy and Akbar, Umer and Grill, Warren M. and Okun, Michael S.},
  title     = {Proceedings of the Fourth Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies},
  series = {Frontiers in Integrative Neuroscience},
  volume    = {10},
  journal   = {Frontiers in Integrative Neuroscience},
  number    = {38},
  doi       = {10.3389/fnint.2016.00038},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168493},
  year      = {2016},
  abstract  = {This paper provides an overview of current progress in the technological advances and the use of deep brain stimulation (DBS) to treat neurological and neuropsychiatric disorders, as presented by participants of the Fourth Annual DBS Think Tank, which was convened in March 2016 in conjunction with the Center for Movement Disorders and Neurorestoration at the University of Florida, Gainesveille FL, USA. The Think Tank discussions first focused on policy and advocacy in DBS research and clinical practice, formation of registries, and issues involving the use of DBS in the treatment of Tourette Syndrome. Next, advances in the use of neuroimaging and electrochemical markers to enhance DBS specificity were addressed. Updates on ongoing use and developments of DBS for the treatment of Parkinson's disease, essential tremor, Alzheimer's disease, depression, post-traumatic stress disorder, obesity, addiction were presented, and progress toward innovation(s) in closed-loop applications were discussed. Each section of these proceedings provides updates and highlights of new information as presented at this year's international Think Tank, with a view toward current and near future advancement of the field.},
  language  = {en}
}
@article{AdrianMartinezAgeronAharonianetal.2016,
  author    = {Adri{\´a}n-Mart{\´i}nez, S. and Ageron, M. and Aharonian, F. and Aiello, S. and Albert, A. and Ameli, F. and Annasontzis, E. and Andre, M. and Androulakis, G. and Anghinolfi, M. and Anton, G. and Ardid, M. and Avgitas, T. and Barbarino, G. and Baret, B. and Barrios-Mart{\´i}, J. and Belhorma, B. and Belias, A. and Berbee, A. and van den Berg, A. and Bertin, V. and Beurthey, S. and van Beeveren, V. and Beverini, N. and Biagi, S. and Biagioni, A. and Billault, M. and Bond{\`i}, M. and Bormuth, R. and Bouhadef, B. and Bourlis, G. and Bourret, S. and Boutonnet, C. and Bouwhuis, M. and Bozza, C. and Bruijn, R. and Brunner, J. and Buis, E. and Busto, J. and Cacopardo, G. and Caillat, L. and Calmai, M. and Calvo, D. and Capone, A. and Caramete, L. and Cecchini, S. and Celli, S. and Champion, C. and Cherkaoui El Moursli, R. and Cherubini, S. and Chiarusi, T. and Circella, M. and Classen, L. and Cocimano, R. and Coelho, J. A. B. and Coleiro, A. and Colonges, S. and Coniglione, R. and Cordelli, M. and Cosquer, A. and Coyle, P. and Creusot, A. and Cuttone, G. and D'Amico, A. and De Bonis, G. and De Rosa, G. and De Sio, C. and Di Capua, F. and Di Palma, I. and D{\´i}az Garc{\´i}a, A. F. and Distefano, C. and Donzaud, C. and Dornic, D. and Dorosti-Hasankiadeh, Q. and Drakopoulou, E. and Drouhin, D. and Drury, L. and Durocher, M. and Eberl, T. and Eichie, S. and van Eijk, D. and El Bojaddaini, I. and El Khayati, N. and Elsaesser, D. and Enzenh{\"o}fer, A. and Fassi, F. and Favali, P. and Fermani, P. and Ferrara, G. and Filippidis, C. and Frascadore, G. and Fusco, L. A. and Gal, T. and Galat{\`a}, S. and Garufi, F. and Gay, P. and Gebyehu, M. and Giordano, V. and Gizani, N. and Gracia, R. and Graf, K. and Gr{\´e}goire, T. and Grella, G. and Habel, R. and Hallmann, S. and van Haren, H. and Harissopulos, S. and Heid, T. and Heijboer, A. and Heine, E. and Henry, S. and Hern{\´a}ndez-Rey, J. J. and Hevinga, M. and Hofest{\"a}dt, J. and Hugon, C. M. F. and Illuminati, G. and James, C. W. and Jansweijer, P. and Jongen, M. and de Jong, M. and Kadler, M. and Kalekin, O. and Kappes, A. and Katz, U. F. and Keller, P. and Kieft, G. and Kießling, D. and Koffeman, E. N. and Kooijman, P. and Kouchner, A. and Kulikovskiy, V. and Lahmann, R. and Lamare, P. and Leisos, A. and Leonora, E. and Lindsey Clark, M. and Liolios, A. and Llorenz Alvarez, C. D. and Lo Presti, D. and L{\"o}hner, H. and Lonardo, A. and Lotze, M. and Loucatos, S. and Maccioni, E. and Mannheim, K. and Margiotta, A. and Marinelli, A. and Mari{\c{s}}, O. and Markou, C. and Mart{\´i}nez-Mora, J. A. and Martini, A. and Mele, R. and Melis, K. W. and Michael, T. and Migliozzi, P. and Migneco, E. and Mijakowski, P. and Miraglia, A. and Mollo, C. M. and Mongelli, M. and Morganti, M. and Moussa, A. and Musico, P. and Musumeci, M. and Navas, S. and Nicoleau, C. A. and Olcina, I. and Olivetto, C. and Orlando, A. and Papaikonomou, A. and Papaleo, R. and Păvăla{\c{s}}, G. E. and Peek, H. and Pellegrino, C. and Perrina, C. and Pfutzner, M. and Piattelli, P. and Pikounis, K. and Poma, G. E. and Popa, V. and Pradier, T. and Pratolongo, F. and P{\"u}hlhofer, G. and Pulvirenti, S. and Quinn, L. and Racca, C. and Raffaelli, F. and Randazzo, N. and Rapidis, P. and Razis, P. and Real, D. and Resvanis, L. and Reubelt, J. and Riccobene, G. and Rossi, C. and Rovelli, A. and Salda{\~n}a, M. and Salvadori, I. and Samtleben, D. F. E. and S{\´a}nchez Garc{\´i}a, A. and S{\´a}nchez Losa, A. and Sanguineti, M. and Santangelo, A. and Santonocito, D. and Sapienza, P. and Schimmel, F. and Schmelling, J. and Sciacca, V. and Sedita, M. and Seitz, T. and Sgura, I. and Simeone, F. and Siotis, I. and Sipala, V. and Spisso, B. and Spurio, M. and Stavropoulos, G. and Steijger, J. and Stellacci, S. M. and Stransky, D. and Taiuti, M. and Tayalati, Y. and T{\´e}zier, D. and Theraube, S. and Thompson, L. and Timmer, P. and T{\"o}nnis, C. and Trasatti, L. and Trovato, A. and Tsirigotis, A. and Tzamarias, S. and Tzamariudaki, E. and Vallage, B. and Van Elewyk, V. and Vermeulen, J. and Vicini, P. and Viola, S. and Vivolo, D. and Volkert, M. and Voulgaris, G. and Wiggers, L. and Wilms, J. and de Wolf, E. and Zachariadou, K. and Zornoza, J. D. and Z{\´u}{\~n}iga, J.},
  title     = {Letter of intent for KM3NeT 2.0},
  series = {Journal of Physics G-Nuclear and Particle Physics},
  volume    = {43},
  journal   = {Journal of Physics G-Nuclear and Particle Physics},
  number    = {8},
  doi       = {10.1088/0954-3899/43/8/084001},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-188050},
  pages     = {84001},
  year      = {2016},
  abstract  = {The main objectives of the KM3NeT Collaboration are (i) the discovery and subsequent observation of high-energy neutrino sources in the Universe and (ii) the determination of the mass hierarchy of neutrinos. These objectives are strongly motivated by two recent important discoveries, namely: (1) the high-energy astrophysical neutrino signal reported by IceCube and (2) the sizable contribution of electron neutrinos to the third neutrino mass eigenstate as reported by Daya Bay, Reno and others. To meet these objectives, the KM3NeT Collaboration plans to build a new Research Infrastructure consisting of a network of deep-sea neutrino telescopes in the Mediterranean Sea. A phased and distributed implementation is pursued which maximises the access to regional funds, the availability of human resources and the synergistic opportunities for the Earth and sea sciences community. Three suitable deep-sea sites are selected, namely off-shore Toulon (France), Capo Passero (Sicily, Italy) and Pylos (Peloponnese, Greece). The infrastructure will consist of three so-called building blocks. A building block comprises 115 strings, each string comprises 18 optical modules and each optical module comprises 31 photo-multiplier tubes. Each building block thus constitutes a three-dimensional array of photo sensors that can be used to detect the Cherenkov light produced by relativistic particles emerging from neutrino interactions. Two building blocks will be sparsely configured to fully explore the IceCube signal with similar instrumented volume, different methodology, improved resolution and},
  language  = {en}
}
@article{ToppvanMeertenHouotetal.2021,
  author    = {Topp, Max S. and van Meerten, Tom and Houot, Roch and Minnema, Monique C. and Bouabdallah, Krimo and Lugtenburg, Pieternella J. and Thieblemont, Catherine and Wermke, Martin and Song, Kevin W. and Avivi, Irit and Kuruvilla, John and D{\"u}hrsen, Ulrich and Zheng, Yan and Vardhanabhuti, Saran and Dong, Jinghui and Bot, Adrian and Rossi, John M. and Plaks, Vicki and Sherman, Marika and Kim, Jenny J. and Kerber, Anne and Kersten, Marie Jos{\´e}},
  title     = {Earlier corticosteroid use for adverse event management in patients receiving axicabtagene ciloleucel for large B-cell lymphoma},
  series = {British Journal of Haematology},
  volume    = {195},
  journal   = {British Journal of Haematology},
  number    = {3},
  doi       = {10.1111/bjh.17673},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-258342},
  pages     = {388-398},
  year      = {2021},
  abstract  = {Axicabtagene ciloleucel (axi-cel) is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy approved for relapsed or refractory large B-cell lymphoma (R/R LBCL). To reduce axi-cel-related toxicity, several exploratory safety management cohorts were added to ZUMA-1 (NCT02348216), the pivotal phase 1/2 study of axi-cel in refractory LBCL. Cohort 4 evaluated the rates and severity of cytokine release syndrome (CRS) and neurologic events (NEs) with earlier corticosteroid and tocilizumab use. Primary endpoints were incidence and severity of CRS and NEs. Patients received 2 × 106 anti-CD19 CAR T cells/kg after conditioning chemotherapy. Forty-one patients received axi-cel. Incidences of any-grade CRS and NEs were 93\% and 61\%, respectively (grade ≥ 3, 2\% and 17\%). There was no grade 4 or 5 CRS or NE. Despite earlier dosing, the cumulative cortisone-equivalent corticosteroid dose in patients requiring corticosteroid therapy was lower than that reported in the pivotal ZUMA-1 cohorts. With a median follow-up of 14·8 months, objective and complete response rates were 73\% and 51\%, respectively, and 51\% of treated patients were in ongoing response. Earlier and measured use of corticosteroids and/or tocilizumab has the potential to reduce the incidence of grade ≥ 3 CRS and NEs in patients with R/R LBCL receiving axi-cel.},
  language  = {en}
}
@article{ReelReelErlicetal.2022,
  author    = {Reel, Smarti and Reel, Parminder S. and Erlic, Zoran and Amar, Laurence and Pecori, Alessio and Larsen, Casper K. and Tetti, Martina and Pamporaki, Christina and Prehn, Cornelia and Adamski, Jerzy and Prejbisz, Aleksander and Ceccato, Filippo and Scaroni, Carla and Kroiss, Matthias and Dennedy, Michael C. and Deinum, Jaap and Eisenhofer, Graeme and Langton, Katharina and Mulatero, Paolo and Reincke, Martin and Rossi, Gian Paolo and Lenzini, Livia and Davies, Eleanor and Gimenez-Roqueplo, Anne-Paule and Assi{\´e}, Guillaume and Blanchard, Anne and Zennaro, Maria-Christina and Beuschlein, Felix and Jefferson, Emily R.},
  title     = {Predicting hypertension subtypes with machine learning using targeted metabolites and their ratios},
  series = {Metabolites},
  volume    = {12},
  journal   = {Metabolites},
  number    = {8},
  issn      = {2218-1989},
  doi       = {10.3390/metabo12080755},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-286161},
  year      = {2022},
  abstract  = {Hypertension is a major global health problem with high prevalence and complex associated health risks. Primary hypertension (PHT) is most common and the reasons behind primary hypertension are largely unknown. Endocrine hypertension (EHT) is another complex form of hypertension with an estimated prevalence varying from 3 to 20\% depending on the population studied. It occurs due to underlying conditions associated with hormonal excess mainly related to adrenal tumours and sub-categorised: primary aldosteronism (PA), Cushing's syndrome (CS), pheochromocytoma or functional paraganglioma (PPGL). Endocrine hypertension is often misdiagnosed as primary hypertension, causing delays in treatment for the underlying condition, reduced quality of life, and costly antihypertensive treatment that is often ineffective. This study systematically used targeted metabolomics and high-throughput machine learning methods to predict the key biomarkers in classifying and distinguishing the various subtypes of endocrine and primary hypertension. The trained models successfully classified CS from PHT and EHT from PHT with 92\% specificity on the test set. The most prominent targeted metabolites and metabolite ratios for hypertension identification for different disease comparisons were C18:1, C18:2, and Orn/Arg. Sex was identified as an important feature in CS vs. PHT classification.},
  language  = {en}
}