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PubMed Publications| Keyword search (4,163 papers available) |  |
"data" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | ADPv2: A hierarchical histological tissue type-annotated dataset for potential biomarker discovery of colorectal disease | Yang Z; Li K; Ramandi SG; Brassard P; Khellaf A; Trinh VQ; Zhang J; Chen L; Rowsell C; Varma S; Plataniotis K; Hosseini MS; | 41658283 ENCS |
| 2 | Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems | Yaghoobian S; An J; Jeong DW; Hwang JH; | 41483514 ENCS |
| 3 | Hierarchical Storage Management in User Space for Neuroimaging Applications | Hayot-Sasson V; Glatard T; | 41432812 ENCS |
| 4 | Multilevel Estimation of the Relative Impacts of Social Determinants on Income-Related Health Inequalities in Urban Canada: Protocol for the Canadian Social Determinants Urban Laboratory | Plante C; Datta Gupta S; Bandara T; Beland D; Blaser C; Camillo CA; Villa E; Dutton D; Fuller D; Hasselback J; Lix LM; Marouzi A; Muhajarine N; Notten G; Reimer B; Wolfson M; Young M; Concha DY; Neudorf C; | 41313634 SOCANTH |
| 5 | The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond | Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Fajardo Valdez A; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterbe | 41020412 SOH |
| 6 | The PREVENT-AD cohort: accelerating Alzheimer s disease research and treatment in Canada and beyond | Villeneuve S; Poirier J; Breitner JCS; Tremblay-Mercier J; Remz J; Raoult JM; Yakoub Y; Gallego-Rudolf J; Qiu T; Valdez AF; Mohammediyan B; Javanray M; Metz A; Sanami S; Ourry V; Wearn A; Pastor-Bernier A; Edde M; Gonneaud J; Strikwerda-Brown C; Tardif CL; Gauthier CJ; Descoteaux M; Dadar M; Vachon-Presseau É; Baril AA; Ducharme S; Montembeault M; Geddes MR; Soucy JP; Rajah N; Laforce R; Bocti C; Davatzikos C; Bellec L; Rosa-Neto P; Baillet S; Evans AC; Collins DL; Chakravarty MM; Blennow K; Zetterberg H; S | 40778177 PSYCHOLOGY |
| 7 | Assessment of cognitive load in the context of neurosurgery | Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; | 40650801 PERFORM |
| 8 | Application of machine learning for predicting the incubation period of water droplet erosion in metals | AlHammad K; Medraj M; Tembely M; | 40612685 ENCS |
| 9 | No species left behind: borrowing strength to map data-deficient species | Sharma S; Winner K; Pollock LJ; Thorson JT; Mäkinen J; Merow C; Pedersen EJ; Chefira KF; Portmann JM; Iannarilli F; Beery S; de Lutio R; Jetz W; | 40571432 BIOLOGY |
| 10 | Clustering and Interpretability of Residential Electricity Demand Profiles | Kallel S; Amayri M; Bouguila N; | 40218540 ENCS |
| 11 | CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning | Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; | 40107020 ENCS |
| 12 | In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability | Khaked AA; Oishi N; Roggen D; Lago P; | 39860799 ENCS |
| 13 | Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings | Guo J; Fan W; Amayri M; Bouguila N; | 39662201 ENCS |
| 14 | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; | 39590726 HKAP |
| 15 | Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks | Abicumaran Uthamacumaran | 39420135 PSYCHOLOGY |
| 16 | Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review | D' Arcey J; Torous J; Asuncion TR; Tackaberry-Giddens L; Zahid A; Ishak M; Foussias G; Kidd S; | 39348196 PSYCHOLOGY |
| 17 | Metabolomics 2023 workshop report: moving toward consensus on best QA/QC practices in LC-MS-based untargeted metabolomics | Mosley JD; Dunn WB; Kuligowski J; Lewis MR; Monge ME; Ulmer Holland C; Vuckovic D; Zanetti KA; Schock TB; | 38980450 CHEMBIOCHEM |
| 18 | Simulating federated learning for steatosis detection using ultrasound images | Qi Y; Vianna P; Cadrin-Chênevert A; Blanchet K; Montagnon E; Belilovsky E; Wolf G; Mullie LA; Cloutier G; Chassé M; Tang A; | 38858500 ENCS |
| 19 | Self-consolidating concrete: Dataset on mixture design and key properties | Amine El Mahdi Safhi | 38533116 ENCS |
| 20 | CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets | Islam M; Zunair H; Mohammed N; | 38492455 ENCS |
| 21 | Firefly (Coleoptera, Lampyridae) species from the Atlantic Forest hotspot, Brazil | Vaz S; Mendes M; Khattar G; Macedo M; Ronquillo C; Zarzo-Arias A; Hortal J; Silveira L; | 38327309 CONCORDIA |
| 22 | Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN | Valevicius D; Beck N; Kasper L; Boroday S; Bayer J; Rioux P; Caron B; Adalat R; Evans AC; Khalili-Mahani N; | 37841811 ENCS |
| 23 | Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration | Ge B; Najar F; Bouguila N; | 37754943 ENCS |
| 24 | Assessment of landfill gas storage and application regarding energy management: A case study in the province of Quebec, Canada | Malmir T; Héroux M; Lagos D; Eicker U; | 37659122 ENCS |
| 25 | The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control | Kaheman K; Fasel U; Bramburger JJ; Strom B; Kutz JN; Brunton SL; | 37637793 ENCS |
| 26 | A comparative study of black-box and white-box data-driven methods to predict landfill leachate permeability | Ghasemi M; Samadi M; Soleimanian E; Chau KW; | 37335361 ENCS |
| 27 | Understanding National Nonprofit Data Environments | Bloodgood EA; Bourns J; Lenczner M; Shibaike T; Tabet J; Melvin A; Wong WH; | 36974198 CONCORDIA |
| 28 | Human Activity Recognition with an HMM-Based Generative Model | Manouchehri N; Bouguila N; | 36772428 ENCS |
| 29 | Introduction to the shared near infrared spectroscopy format | Tucker S; Dubb J; Kura S; von Lühmann A; Franke R; Horschig JM; Powell S; Oostenveld R; Lührs M; Delaire É; Aghajan ZM; Yun H; Yücel MA; Fang Q; Huppert TJ; Frederick BB; Pollonini L; Boas D; Luke R; | 36507152 ENCS |
| 30 | Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability | Cai Z; Pellegrino G; Lina JM; Benali H; Grova C; | 36250709 PERFORM |
| 31 | Toward a digital citizen lab for capturing data about alternative ways of self-managing chronic pain: An attitudinal user study | Khalili-Mahani N; Woods S; Holowka EM; Pahayahay A; Roy M; | 36188996 PERFORM |
| 32 | Community-led risk analysis of direct-to-consumer whole-genome sequencing | Samlali K; Thornbury M; Venter A; | 35939839 ENCS |
| 33 | Cold region data accessibility portal for Québec (CRDAP-QC): An integrated, multi-variable and multi-scale data repository for studying cold-region hydrological processes in Québec | Nazemi A; Jiwa S; Hatami S; | 35637887 ENCS |
| 34 | Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches | Bird M; Datta GD; Chinerman D; Kakinami L; Mathieu ME; Henderson M; Barnett TA; | 35585542 MATHSTATS |
| 35 | A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary | Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; | 35372638 ENCS |
| 36 | Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation | Vu HL; Ng KTW; Richter A; An C; | 35287077 ENCS |
| 37 | Play the Pain: A Digital Strategy for Play-Oriented Research and Action | Najmeh Khalili-Mahani | 34975566 PERFORM |
| 38 | Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer | Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I; | 34683215 ENCS |
| 39 | PSON: A Serialization Format for IoT Sensor Networks | Luis Á; Casares P; Cuadrado-Gallego JJ; Patricio MA; | 34283115 ENCS |
| 40 | Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation-A Case Study for the City of Montreal | Braun R; Padsala R; Malmir T; Mohammadi S; Eicker U; | 34240049 ENCS |
| 41 | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A; | 33838273 CONCORDIA |
| 42 | Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms | Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H; | 33683544 PERFORM |
| 43 | On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. | Elshafei M, Costa DE, Shihab E | 33557239 ENCS |
| 44 | Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. | Elshafei M, Shihab E | 33498702 ENCS |
| 45 | A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset. | Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC | 33465520 ENCS |
| 46 | WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity | Albuquerque I; Tiwari A; Parent M; Cassani R; Gagnon JF; Lafond D; Tremblay S; Falk TH; | 33335465 PERFORM |
| 47 | A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. | Khannouz M; Glatard T; | 33202905 ENCS |
| 48 | Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis | Lyubenova A; Neupane D; Levis B; Wu Y; Sun Y; He C; Krishnan A; Bhandari PM; Negeri Z; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Ioannidis JPA; Cuijpers P; Gilbody S; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Barnes J; Bavle AD; Beck CT; Bindt C; Boyce PM; Bunevicius A; Chaudron LH; Favez N; Figueiredo B; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Meuti V; Radoš SN; García PN; Pawlby SJ; Quispel C; Robertson-Blackmore E; Rochat TJ; Sharp DJ; Siu BWM; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; Thombs BD; | 33089942 CONCORDIA |
| 49 | Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses | Wu Y; Levis B; Ioannidis JPA; Benedetti A; Thombs BD; | 32814337 LIBRARY |
| 50 | COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. | Bond-Lamberty B, Christianson DS, Malhotra A, Pennington SC, Sihi D, AghaKouchak A, Anjileli H, Altaf Arain M, Armesto JJ, Ashraf S, Ataka M, Baldocchi D, Andrew Black T, Buchmann N, Carbone MS, Chang SC, Crill P, Curtis PS, Davidson EA, Desai AR, Drake JE, El-Madany TS, Gavazzi M, Görres CM, Gough CM, Goulden M, Gregg J, Gutiérrez Del Arroyo O, He JS, Hirano T, Hopple A, Hughes H, Järveoja J, Jassal R, Jian J, Kan H, Kaye J, Kominami Y, Liang N, Lipson D, Macdonald CA, Maseyk K, Mathes K, Mauritz M, Mayes | 33026137 ENCS |
| 51 | BENIN: Biologically enhanced network inference. | Wonkap SK, Butler G | 32698722 ENCS |
| 52 | A Multilevel Person-Centered Examination of Teachers' Workplace Demands and Resources: Links With Work-Related Well-Being | Collie RJ; Malmberg LE; Martin AJ; Sammons P; Morin AJS; | 32322226 PSYCHOLOGY |
| 53 | Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis | Levis B; Benedetti A; Ioannidis JPA; Sun Y; Negeri Z; He C; Wu Y; Krishnan A; Bhandari PM; Neupane D; Imran M; Rice DB; Riehm KE; Saadat N; Azar M; Boruff J; Cuijpers P; Gilbody S; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Alamri SH; Amtmann D; Ayalon L; Baradaran HR; Beraldi A; Bernstein CN; Bhana A; Bombardier CH; Carter G; Chagas MH; Chibanda D; Clover K; Conwell Y; Diez-Quevedo C; Fann JR; Fischer FH; Gholizadeh L; Gibson LJ; Green EP; Greeno CG; Hall BJ; Haroz EE; Ismail K; Jetté N; Khamseh ME; Kwan Y; Lara MA; Liu SI; Loureiro SR; Löwe B; Marrie RA; Marsh L; McGuire A; Muramatsu K; Navarrete L; Osório FL; Petersen I; Picardi A; Pugh SL; Quinn TJ; Rooney AG; Shinn EH; Sidebottom A; Spangenberg L; Tan PLL; Taylor-Rowan M; Turner A; van Weert HC; Vöhringer PA; Wagner LI; White J; Winkley K; Thombs BD; | 32105798 LIBRARY |
| 54 | Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. | Amini S, Kersten-Oertel M | 32038868 PERFORM |
| 55 | Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies | Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff JT; Cuijpers P; Gilbody S; McMillan D; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Henry M; Ismail Z; Loiselle CG; Mitchell ND; Tonelli M; Al-Adawi S; Beraldi A; Braeken APBM; Büel-Drabe N; Bunevicius A; Carter G; Chen CK; Cheung G; Clover K; Conroy RM; Cukor D; da Rocha E Silva CE; Dabscheck E; Daray FM; Douven E; Downing MG; Feinstein A; Ferentinos PP; Fischer FH; Flint AJ; Fujimori M; Gallagher P; Gandy M; Goebel S; Grassi L; Härter M; Jenewein J; Jetté N; Julião M; Kim JM; Kim SW; Kjærgaard M; Köhler S; Loosman WL; Löwe B; Martin-Santos R; Massardo L; Matsuoka Y; Mehnert A; Michopoulos I; Misery L; Navines R; O' Donnell ML; Öztürk A; Peceliuniene J; Pintor L; Ponsford JL; Quinn TJ; Reme SE; Reuter K; Rooney AG; Sánchez-González R; Schwarzbold ML; Senturk Cankorur V; Shaaban J; Sharpe L; Sharpe M; Simard S; Singer S; Stafford L; Stone J; Sultan S; Teixeira AL; Tiringer I; Turner A; Walker J; Walterfang M; Wang LJ; White J; Wong DK; Benedetti A; Thombs BD; | 31911325 LIBRARY |
| 56 | 3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography. | Mirzaei M, Asif A, Fortin M, Rivaz H | 31790861 PERFORM |
| 57 | Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis | Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; Imran M; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Alvarado R; Alvarado-Esquivel C; Bakare MO; Barnes J; Beck CT; Bindt C; Boyce PM; Bunevicius A; Couto TCE; Chaudron LH; Correa H; de Figueiredo FP; Eapen V; Fernandes M; Figueiredo B; Fisher JRW; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Khalifa DS; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Lewis BA; Maes M; Meuti V; Nakic Radoš S; Navarro García P; Nishi D; Okitundu Luwa E-Andjafono D; Robertson-Blackmore E; Rochat TJ; Rowe HJ; Siu BWM; Skalkidou A; Stein A; Stewart RC; Su KP; Sundström-Poromaa I; Tadinac M; Tandon SD; Tendais I; Thiagayson P; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Wynter K; Yonkers KA; Benedetti A; Thombs BD; | 31568624 LIBRARY |
| 58 | Worldwide contamination of food-crops with mycotoxins: Validity of the widely cited 'FAO estimate' of 25. | Eskola M, Kos G, Elliott CT, Hajšlová J, Mayar S, Krska R | 31478403 CHEMBIOCHEM |
| 59 | Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis | Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Akena DH; Arroll B; Ayalon L; Baradaran HR; Baron M; Bombardier CH; Butterworth P; Carter G; Chagas MH; Chan JCN; Cholera R; Conwell Y; de Man-van Ginkel JM; Fann JR; Fischer FH; Fung D; Gelaye B; Goodyear-Smith F; Greeno CG; Hall BJ; Harrison PA; Härter M; Hegerl U; Hides L; Hobfoll SE; Hudson M; Hyphantis T; Inagaki M; Jetté N; Khamseh ME; Kiely KM; Kwan Y; Lamers F; Liu SI; Lotrakul M; Loureiro SR; Löwe B; McGuire A; Mohd-Sidik S; Munhoz TN; Muramatsu K; Osório FL; Patel V; Pence BW; Persoons P; Picardi A; Reuter K; Rooney AG; Santos IS; Shaaban J; Sidebottom A; Simning A; Stafford L; Sung S; Tan PLL; Turner A; van Weert HC; White J; Whooley MA; Winkley K; Yamada M; Benedetti A; Thombs BD; | 31298180 LIBRARY |
| 60 | Cyberinfrastructure for Open Science at the Montreal Neurological Institute. | Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC | 28111547 IMAGING |
| 61 | BioMiCo: a supervised Bayesian model for inference of microbial community structure. | Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP | 25774293 BIOLOGY |
| 62 | Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. | Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M | 27075844 LIBRARY |
| 63 | Aegilops tauschii Genome Sequence: A Framework for Meta-analysis of Wheat QTLs. | Xu J, Dai X, Ramasamy RK, Wang L, Zhu T, McGuire PE, Jorgensen CM, Dehghani H, Gulick PJ, Luo MC, Müller HG, Dvorak J | 30670607 BIOLOGY |
| 64 | Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. | Muñoz G, Kissling WD, van Loon EE | 30692868 BIOLOGY |
| 65 | Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing. | Saito MA, Bertrand EM, Duffy ME, Gaylord DA, Held NA, Hervey WJ, Hettich RL, Jagtap PD, Janech MG, Kinkade DB, Leary DH, McIlvin MR, Moore EK, Morris RM, Neely BA, Nunn BL, Saunders JK, Shepherd AI, Symmonds NI, Walsh DA | 30702898 BIOLOGY |
| 66 | Mass Spectrometry-Based Proteomics | Marcos Rafael Di Falco | 29876812 CSFG |
| 67 | REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. | Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I | 28391601 PERFORM |
| 68 | ARENA: Inter-modality affine registration using evolutionary strategy. | Masoumi N, Xiao Y, Rivaz H | 30535826 PERFORM |
| Title: | The PREVENT-AD cohort: Accelerating Alzheimer s disease research and treatment in Canada and beyond | ||||
| Authors: | Villeneuve S, Poirier J, Breitner JCS, Tremblay-Mercier J, Remz J, Raoult JM, Yakoub Y, Gallego-Rudolf J, Qiu T, Fajardo Valdez A, Mohammediyan B, Javanray M, Metz A, Sanami S, Ourry V, Wearn A, Pastor-Bernier A, Edde M, Gonneaud J, Strikwerda-Brown C, Tardif CL, Gauthier CJ, Descoteaux M, Dadar M, Vachon-Presseau É, Baril AA, Ducharme S, Montembeault M, Geddes MR, Soucy JP, Rajah N, Laforce R, Bocti C, Davatzikos C, Bellec L, Rosa-Neto P, Baillet S, Evans AC, Collins DL, Chakravarty MM, Blennow K, Zetterbe | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/41020412/ | ||||
| DOI: | 10.1002/alz.70653 | ||||
| Publication: | Alzheimer s & dementia : the journal of the Alzheimer s Association | ||||
| Keywords: | biomarkers; clinical progression; cognition; data repository; neuroimaging; preclinical; | ||||
| PMID: | 41020412 | Category: | Date Added: | 2025-09-29 | |
| Dept Affiliation: |
SOH
1 StoP-AD Centre, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada. 2 Department of Psychiatry, McGill University, Montréal, Quebec, Canada. 3 McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada. 4 Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montréal, Quebec, Canada. 5 Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada. 6 Research Center of the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada. 7 Department of Medicine, Faculty of Medicine, Université de Montréal, Montréal, Quebec, Canada. 8 Department of Physics, Concordia University, Montréal, Quebec, Canada. 9 Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada. 10 Faculté des sciences, Département d'informatique, Université de Sherbrooke, Sherbrooke, Quebec, Canada. 11 Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", NeuroPresage Team, GIP Cyceron, Caen, France. 12 School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia. 13 Department Biomedical Engineering, McGill University, Montréal, Quebec, Canada. 14 Centre ÉPIC, Montreal Heart Institute, Montréal, Quebec, Canada. 15 School of Health, Concordia University, Montréal, Quebec, Canada. 16 Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada. 17 Department of Anesthesia, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada. 18 Alan Edwards Center for Research on Pain, McGill University, Montreal, Quebec, Canada. 19 Department of Psychology, Toronto Metropolitan University, Toronto, Ontario, Canada. 20 Clinique interdisciplinaire de mémoire, CHU de Québec affilié à l'Université Laval, Québec, Quebec, Canada. 21 Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada. 22 AI2D Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA. 23 Psychology Department, Université de Montréal, Montréal, Quebec, Canada. 24 Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada. 25 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden. 26 Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden. 27 Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France. 28 Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, Anhui, P.R. China. 29 Department of Neurodegenerative Disease, University College London Institute of Neurology, London, UK. 30 UK Dementia Research Institute at UCL, London, UK. 31 Hong Kong Center for Neurodegenerative Diseases, InnoHK, Hong Kong, China. 32 Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA. 33 Department of Physiology and Pharmacology, Université de Montréal, Montréal, Quebec, Canada. 34 Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden. |
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Description: |
The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is an investigator-driven study that was created in 2011 and enrolled cognitively normal older adults with a family history of sporadic AD. Participants are deeply phenotyped and have now been followed annually for more than 12 years (median follow-up 8.0 years, SD 3.1). Multimodal magnetic resonance imaging (MRI), genetic, neurosensory, clinical, cerebrospinal fluid, and cognitive data collected until 2017 on 348 participants who agreed to open sharing with the neuroscience community were already available. We now share a new release including 6 years of additional follow-up cognitive data, and additional MRI follow-ups, clinical progression, new longitudinal behavioral and lifestyle measures (questionnaires, actigraphy), longitudinal AD plasma biomarkers, amyloid-beta and tau positron emission tomography (PET), magnetoencephalography, as well as neuroimaging analytic measures from all MRI modalities. We describe the PREVENT-AD study, the data shared with the global research community, as well as the model we created to sustain longitudinal follow-ups while also allowing new innovative data collection. HIGHLIGHTS: The PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) is a single-site longitudinal study that started in 2011 with annual follow-up data collection on individuals at risk of Alzheimer's disease who were all cognitively normal at enrolment. All 387 participants were enrolled between 2011 and 2017 and 306 (79%) of these participants were still in the study as of December 2023. While the PREVENT-AD dataset was not originally planned to be shared with the global research community, 348 participants retrospectively consented for their data to be shared with researchers worldwide. The first release of data was in 2019. We now share a second release that includes 6 years of additional follow-up visits, information on clinical progression and novel cognitive, behavioral, genetic, plasma and neuroimaging (amyloid and tau positron emission tomography [PET], magnetoencephalography [MEG], and new magnetic resonance imaging [MRI] sequences) data. It also includes analytic outputs for neuroimaging modalities. |
