[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"awarded-erc-advanced-grant-2027":3,"awarded-stats-erc-advanced-grant":31},{"awarded":4,"total":30},[5,16,23],{"id":6,"funder":7,"programme":8,"title":9,"piName":10,"institution":11,"country":12,"year":13,"amount":14,"abstract":15},"cordis-european-research-council-award-101266224","European Research Council","ERC Advanced Grant","Pancreatic juice-based Early Cancer Identification using Specific Epigenetics and (Glyco-)Proteomics – Advanced Next-generation Characterisation",null,"ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM","NL",2027,"€2,499,998","Pancreatic cancer is a devastating disease with poor survival due to late diagnosis. Current imaging modalities fail to detect the disease early enough, even in high-risk individuals enrolled in structured surveillance programs. To improve outcomes, biomarkers must be developed that detect high-grade dysplasia, the final premalignant stage, before progression to incurable cancer. This ERC Advanced Grant proposal, PRECISE-PANC, aims to develop such biomarkers using a uniquely powerful biofluid: p",{"id":17,"funder":7,"programme":8,"title":18,"piName":10,"institution":19,"country":20,"year":13,"amount":21,"abstract":22},"cordis-european-research-council-award-101267616","AI-in-the-loop in vivo screening and preclinical development of CRISPR-boosted CAR T cells for solid tumor therapy","CEMM - FORSCHUNGSZENTRUM FUER MOLEKULARE MEDIZIN GMBH","AT","€2,481,176","CAR T cell therapy constitutes a medical breakthrough and proof-of-concept for genetically engineered cells as therapeutics. But little progress has been made for solid tumors. We will tackle this challenge by building upon powerful experimental and computational methods developed in my ERC Starting & Consolidator grants.\n\nIn Aim 1, we make CAR T cells fitter and better able to withstand the hostile microenvironment of solid tumors through AI-guided in vivo screens in immunocompetent mice, based",{"id":24,"funder":7,"programme":8,"title":25,"piName":10,"institution":26,"country":27,"year":13,"amount":28,"abstract":29},"cordis-european-research-council-award-101267495","Protein Dynamics with Generalized machine-learned potentials","FREIE UNIVERSITAET BERLIN","DE","€3,036,526","After breakthroughs in protein sequencing and structure prediction, the accurate and scalable characterization of biomolecular dynamics and function is the next frontier in molecular biology.\n\nThis project aims to transform the simulation of macromolecular systems by developing a general-purpose machine-learned coarse-grained (MLCG) model that enables accurate and efficient molecular dynamics (MD) simulations of large biomolecular complexes over biologically relevant timescales.\n\nWhile all-atom ",3,{"programme":8,"total":32,"withPiName":33,"firstYear":34,"lastYear":13,"countryCount":35,"perYear":36,"topInstitutions":93,"topCountries":164},4756,450,2008,46,[37,39,42,45,48,51,54,57,60,63,65,68,71,74,77,80,83,86,89,92],{"year":34,"count":38},47,{"year":40,"count":41},2009,232,{"year":43,"count":44},2010,248,{"year":46,"count":47},2011,276,{"year":49,"count":50},2012,293,{"year":52,"count":53},2013,344,{"year":55,"count":56},2014,359,{"year":58,"count":59},2015,138,{"year":61,"count":62},2016,299,{"year":64,"count":41},2017,{"year":66,"count":67},2018,376,{"year":69,"count":70},2019,241,{"year":72,"count":73},2020,137,{"year":75,"count":76},2021,228,{"year":78,"count":79},2022,322,{"year":81,"count":82},2023,252,{"year":84,"count":85},2024,243,{"year":87,"count":88},2025,222,{"year":90,"count":91},2026,264,{"year":13,"count":30},[94,97,100,103,106,109,112,115,118,121,124,127,130,133,136,139,142,145,147,150,152,154,156,159,161],{"name":95,"count":96},"Centre National de la Recherche Scientifique CNRS",206,{"name":98,"count":99},"Max-Planck-Gesellschaft zur Forderung der Wissenschaften Ev",133,{"name":101,"count":102},"University of Oxford",128,{"name":104,"count":105},"University of Cambridge",124,{"name":107,"count":108},"Eidgenoessische Technische Hochschule Zuerich",84,{"name":110,"count":111},"Weizmann Institute of Science",74,{"name":113,"count":114},"École Polytechnique Fédérale de Lausanne",72,{"name":116,"count":117},"University College London",69,{"name":119,"count":120},"Ludwig-Maximilians-Universitaet Muenchen",59,{"name":122,"count":123},"The Hebrew University of Jerusalem",57,{"name":125,"count":126},"Katholieke Universiteit Leuven",52,{"name":128,"count":129},"University of Bristol",49,{"name":131,"count":132},"University of Edinburgh",48,{"name":134,"count":135},"Kobenhavns Universitet",40,{"name":137,"count":138},"Universiteit van Amsterdam",39,{"name":140,"count":141},"Institut National de la Sante Et de la Recherche Medicale",38,{"name":143,"count":144},"Agencia Estatal Consejo Superior de Investigaciones Cientificas",35,{"name":146,"count":144},"Tel Aviv University",{"name":148,"count":149},"Imperial College of Science Technology and Medicine",33,{"name":151,"count":149},"Technische Universitaet Muenchen",{"name":153,"count":149},"Universitat Wien",{"name":155,"count":149},"University of Manchester",{"name":157,"count":158},"Helsingin Yliopisto",32,{"name":160,"count":158},"Karolinska Institutet",{"name":162,"count":163},"Technische Universiteit Delft",30,[165,167,170,173,175,178,181,184,187,190,192,194,197,200,203,206,209,211,214,217,220,223,226,228,231],{"name":27,"count":166},802,{"name":168,"count":169},"UK",778,{"name":171,"count":172},"FR",581,{"name":12,"count":174},390,{"name":176,"count":177},"CH",310,{"name":179,"count":180},"IT",302,{"name":182,"count":183},"ES",269,{"name":185,"count":186},"IL",202,{"name":188,"count":189},"SE",183,{"name":20,"count":191},153,{"name":193,"count":191},"BE",{"name":195,"count":196},"DK",107,{"name":198,"count":199},"GB",78,{"name":201,"count":202},"FI",76,{"name":204,"count":205},"NO",65,{"name":207,"count":208},"IE",42,{"name":210,"count":135},"PT",{"name":212,"count":213},"HU",25,{"name":215,"count":216},"EL",24,{"name":218,"count":219},"US",20,{"name":221,"count":222},"PL",18,{"name":224,"count":225},"CZ",15,{"name":227,"count":225},"SI",{"name":229,"count":230},"CN",9,{"name":232,"count":233},"EE",8]