Prediktionsmedicin – Mattias Rantalainens forskargrupp

Publikationer

Alla gruppmedlemmars publikationer

• Article: BREAST CANCER RESEARCH AND TREATMENT. 2024;206(1):163-175

  Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay.

  Wang Y; Sun W; Karlsson E; Kang Lövgren S; Ács B; Rantalainen M; Robertson S; Hartman J
• Journal article: BREAST CANCER RESEARCH. 2024;26(1):90

  Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.

  Boissin C; Wang Y; Sharma A; Weitz P; Karlsson E; Robertson S; Hartman J; Rantalainen M
• Article: BREAST CANCER RESEARCH. 2024;26(1):17

  Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.

  Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
• Article: EUROPEAN JOURNAL OF CANCER. 2023;191:112953

  Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.

  Wang Y; Ali MA; Vallon-Christersson J; Humphreys K; Hartman J; Rantalainen M
• Article: SCIENTIFIC DATA. 2023;10(1):562

  A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics.

  Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Sinius Pouplier S; Sharma A; Ledesma Eriksson K; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
• Article: NPJ PRECISION ONCOLOGY. 2023;7(1):32

  Prediction model for drug response of acute myeloid leukemia patients.

  Trac QT; Pawitan Y; Mou T; Erkers T; Östling P; Bohlin A; Österroos A; Vesterlund M; Jafari R; Siavelis I; Bäckvall H; Kiviluoto S; Orre LM; Rantalainen M; Lehtiö J; Lehmann S; Kallioniemi O; Vu TN
• Article: ISCIENCE. 2022;25(7):104663

  Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.

  Liu B; Wang Y; Weitz P; Lindberg J; Hartman J; Wang W; Egevad L; Grönberg H; Eklund M; Rantalainen M
• Article: BIOINFORMATICS. 2022;38(13):3462-3469

  Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.

  Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Grönberg H; Eklund M; Rantalainen M
• Article: ANNALS OF ONCOLOGY. 2022;33(1):89-98

  Improved breast cancer histological grading using deep learning.

  Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wählby C; Hartman J; Rantalainen M
• Article: CANCER RESEARCH. 2021;81(19):5115-5126

  Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast Cancer.

  Wang Y; Kartasalo K; Weitz P; Ács B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
• Review: EUROPEAN UROLOGY FOCUS. 2021;7(4):687-691

  Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.

  Kartasalo K; Bulten W; Delahunt B; Chen P-HC; Pinckaers H; Olsson H; Ji X; Mulliqi N; Samaratunga H; Tsuzuki T; Lindberg J; Rantalainen M; Wählby C; Litjens G; Ruusuvuori P; Egevad L; Eklund M
• Article: BLOOD ADVANCES. 2021;5(4):1003-1016

  Challenging conventional karyotyping by next-generation karyotyping in 281 intensively treated patients with AML.

  Mareschal S; Palau A; Lindberg J; Ruminy P; Nilsson C; Bengtzén S; Engvall M; Eriksson A; Neddermeyer A; Marchand V; Jansson M; Björklund M; Jardin F; Rantalainen M; Lennartsson A; Cavelier L; Grönberg H; Lehmann S
• Article: NATURE COMMUNICATIONS. 2021;12(1):1054

  Biological and therapeutic implications of a unique subtype of NPM1 mutated AML.

  Mer AS; Heath EM; Madani Tonekaboni SA; Dogan-Artun N; Nair SK; Murison A; Garcia-Prat L; Shlush L; Hurren R; Voisin V; Bader GD; Nislow C; Rantalainen M; Lehmann S; Gower M; Guidos CJ; Lupien M; Dick JE; Minden MD; Schimmer AD; Haibe-Kains B
• Review: JOURNAL OF INTERNAL MEDICINE. 2020;288(1):62-81

  Artificial intelligence as the next step towards precision pathology.

  Acs B; Rantalainen M; Hartman J
• Article: BLOOD CANCER JOURNAL. 2020;10(6):67

  Integrated transcriptomic and genomic analysis improves prediction of complete remission and survival in elderly patients with acute myeloid leukemia.

  Österroos A; Björklund M; Eriksson A; Lindberg J; Nilsson C; Mareschal S; Rantalainen M; Grönberg H; Lehmann S
• Article: LANCET ONCOLOGY. 2020;21(2):222-232

  Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

  Ström P; Kartasalo K; Olsson H; Solorzano L; Delahunt B; Berney DM; Bostwick DG; Evans AJ; Grignon DJ; Humphrey PA; Iczkowski KA; Kench JG; Kristiansen G; van der Kwast TH; Leite KRM; McKenney JK; Oxley J; Pan C-C; Samaratunga H; Srigley JR; Takahashi H; Tsuzuki T; Varma M; Zhou M; Lindberg J; Lindskog C; Ruusuvuori P; Wählby C; Grönberg H; Rantalainen M; Egevad L; Eklund M
• Letter: JAMA ONCOLOGY. 2019;5(7):1060-1062

  Androgen Receptor Burden and Poor Response to Abiraterone or Enzalutamide in TP53 Wild-Type Metastatic Castration-Resistant Prostate Cancer.

  De Laere B; Rajan P; Grönberg H; Dirix L; Lindberg J; CORE-ARV-CTC and ProBIO Investigators
• Article: CLINICAL CANCER RESEARCH. 2019;25(6):1766-1773

  TP53 Outperforms Other Androgen Receptor Biomarkers to Predict Abiraterone or Enzalutamide Outcome in Metastatic Castration-Resistant Prostate Cancer.

  De Laere B; Oeyen S; Mayrhofer M; Whitington T; van Dam P-J; Van Oyen P; Ghysel C; Ampe J; Ost P; Demey W; Hoekx L; Schrijvers D; Brouwers B; Lybaert W; Everaert EG; De Maeseneer D; Strijbos M; Bols A; Fransis K; Beije N; de Kruijff IE; van Dam V; Brouwer A; Goossens D; Heyrman L; Van den Eynden GG; Rutten A; Del Favero J; Rantalainen M; Rajan P; Sleijfer S; Ullén A; Yachnin J; Grönberg H; Van Laere SJ; Lindberg J; Dirix LY
• Article: GENOME MEDICINE. 2018;10(1):85

  Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis.

  Mayrhofer M; De Laere B; Whitington T; Van Oyen P; Ghysel C; Ampe J; Ost P; Demey W; Hoekx L; Schrijvers D; Brouwers B; Lybaert W; Everaert E; De Maeseneer D; Strijbos M; Bols A; Fransis K; Oeyen S; van Dam P-J; Van den Eynden G; Rutten A; Aly M; Nordström T; Van Laere S; Rantalainen M; Rajan P; Egevad L; Ullén A; Yachnin J; Dirix L; Grönberg H; Lindberg J
• Article: JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE. 2018;110(10):1094-1101

  Development and Validation of a Novel RNA Sequencing-Based Prognostic Score for Acute Myeloid Leukemia.

  Wang M; Lindberg J; Klevebring D; Nilsson C; Lehmann S; Grönberg H; Rantalainen M
• Article: JOURNAL OF CLINICAL PATHOLOGY. 2018;71(9):787-794

  Prognostic value of Ki67 analysed by cytology or histology in primary breast cancer.

  Robertson S; Stålhammar G; Darai-Ramqvist E; Rantalainen M; Tobin NP; Bergh J; Hartman J
• Article: BIOINFORMATICS. 2018;34(14):2392-2400

  Isoform-level gene expression patterns in single-cell RNA-sequencing data.

  Vu TN; Wills QF; Kalari KR; Niu N; Wang L; Pawitan Y; Rantalainen M
• Article: BRIEFINGS IN FUNCTIONAL GENOMICS. 2018;17(4):273-282

  Application of single-cell sequencing in human cancer.

  Rantalainen M
• Article: HISTOPATHOLOGY. 2018;72(6):974-989

  Digital image analysis of Ki67 in hot spots is superior to both manual Ki67 and mitotic counts in breast cancer.

  Stålhammar G; Robertson S; Wedlund L; Lippert M; Rantalainen M; Bergh J; Hartman J
• Article: JOURNAL OF HEMATOLOGY & ONCOLOGY. 2018;11(1):52

  Expression levels of long non-coding RNAs are prognostic for AML outcome.

  Mer AS; Lindberg J; Nilsson C; Klevebring D; Wang M; Grönberg H; Lehmann S; Rantalainen M
• Article: BMC CANCER. 2017;17(1):802

  Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling.

  Karthik G-M; Rantalainen M; Stålhammar G; Lövrot J; Ullah I; Alkodsi A; Ma R; Wedlund L; Lindberg J; Frisell J; Bergh J; Hartman J
• Article: LEUKEMIA. 2017;31(10):2029-2036

  Validation of risk stratification models in acute myeloid leukemia using sequencing-based molecular profiling.

  Wang M; Lindberg J; Klevebring D; Nilsson C; Mer AS; Rantalainen M; Lehmann S; Grönberg H
• Article: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION. 2017;24(5):950-957

  E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.

  Spjuth O; Karlsson A; Clements M; Humphreys K; Ivansson E; Dowling J; Eklund M; Jauhiainen A; Czene K; Grönberg H; Sparén P; Wiklund F; Cheddad A; Pálsdóttir Þ; Rantalainen M; Abrahamsson L; Laure E; Litton J-E; Palmgren J
• Article: CANCER RESEARCH. 2017;77(13):3708-3717

  Assessment of Breast Cancer Risk Factors Reveals Subtype Heterogeneity.

  Holm J; Eriksson L; Ploner A; Eriksson M; Rantalainen M; Li J; Hall P; Czene K
• Article: CLINICAL CANCER RESEARCH. 2017;23(10):2584-2592

  Molecular Differences between Screen-Detected and Interval Breast Cancers Are Largely Explained by PAM50 Subtypes.

  Li J; Ivansson E; Klevebring D; Tobin NP; Lindström LS; Holm J; Prochazka G; Cristando C; Palmgren J; Törnberg S; Humphreys K; Hartman J; Frisell J; Rantalainen M; Lindberg J; Hall P; Bergh J; Grönberg H; Czene K
• Article: SCIENTIFIC REPORTS. 2016;6:38037

  Sequencing-based breast cancer diagnostics as an alternative to routine biomarkers.

  Rantalainen M; Klevebring D; Lindberg J; Ivansson E; Rosin G; Kis L; Celebioglu F; Fredriksson I; Czene K; Frisell J; Hartman J; Bergh J; Grönberg H
• Article: BIOINFORMATICS. 2016;32(14):2128-2135

  Beta-Poisson model for single-cell RNA-seq data analyses.

  Vu TN; Wills QF; Kalari KR; Niu N; Wang L; Rantalainen M; Pawitan Y
• Article: CELL REPORTS. 2016;15(9):2000-2011

  Reprogramming Tumor-Associated Macrophages by Antibody Targeting Inhibits Cancer Progression and Metastasis.

  Georgoudaki A-M; Prokopec KE; Boura VF; Hellqvist E; Sohn S; Östling J; Dahan R; Harris RA; Rantalainen M; Klevebring D; Sund M; Brage SE; Fuxe J; Rolny C; Li F; Ravetch JV; Karlsson MCI
• Article: BREAST CANCER RESEARCH. 2016;18(1):48

  Determining breast cancer histological grade from RNA-sequencing data.

  Wang M; Klevebring D; Lindberg J; Czene K; Grönberg H; Rantalainen M
• Article: MODERN PATHOLOGY. 2016;29(4):318-329

  Digital image analysis outperforms manual biomarker assessment in breast cancer.

  Stålhammar G; Fuentes Martinez N; Lippert M; Tobin NP; Mølholm I; Kis L; Rosin G; Rantalainen M; Pedersen L; Bergh J; Grunkin M; Hartman J
• Article: SCIENTIFIC REPORTS. 2016;6:20200

  Study design requirements for RNA sequencing-based breast cancer diagnostics.

  Mer AS; Klevebring D; Grönberg H; Rantalainen M
• Article: JOURNAL OF ALZHEIMERS DISEASE. 2015;45(4):1061-1076

  An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/Aβ1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients.

  Sun Y; Bresell A; Rantalainen M; Höglund K; Lebouvier T; Salter H; Alzheimer Disease Neuroimaging Initiative
• Article: JOURNAL OF PROTEOME RESEARCH. 2015;14(1):479-490

  Integrative transcriptomic and metabonomic molecular profiling of colonic mucosal biopsies indicates a unique molecular phenotype for ulcerative colitis.

  Rantalainen M; Bjerrum JT; Olsen J; Nielsen OH; Wang Y
• Article: METHODS IN MOLECULAR BIOLOGY. 2015;1277:147-159

  Combining metabonomics and other -omics data.

  Rantalainen M
• Article: PLOS ONE. 2015;10(5):e0127882

  Robust Linear Models for Cis-eQTL Analysis.

  Rantalainen M; Lindgren CM; Holmes CC
• Article: METABOLOMICS. 2014;10(2):280-290

  Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis.

  Bjerrum JT; Rantalainen M; Wang Y; Olsen J; Nielsen OH
• Article: PLOS ONE. 2013;8(2):e55923

  The presence of methylation quantitative trait loci indicates a direct genetic influence on the level of DNA methylation in adipose tissue.

  Drong AW; Nicholson G; Hedman AK; Meduri E; Grundberg E; Small KS; Shin S-Y; Bell JT; Karpe F; Soranzo N; Spector TD; McCarthy MI; Deloukas P; Rantalainen M; Lindgren CM; MolPAGE Consortia
• Article: JOURNAL OF PROTEOME RESEARCH. 2012;11(9):4712-4721

  Systems responses of rats to mequindox revealed by metabolic and transcriptomic profiling.

  Zhao X-J; Hao F; Huang C; Rantalainen M; Lei H; Tang H; Wang Y
• Article: PLOS GENETICS. 2012;8(5):e1002704

  Extent, causes, and consequences of small RNA expression variation in human adipose tissue.

  Parts L; Hedman ÅK; Keildson S; Knights AJ; Abreu-Goodger C; van de Bunt M; Guerra-Assunção JA; Bartonicek N; van Dongen S; Mägi R; Nisbet J; Barrett A; Rantalainen M; Nica AC; Quail MA; Small KS; Glass D; Enright AJ; Winn J; MuTHER Consortium; Deloukas P; Dermitzakis ET; McCarthy MI; Spector TD; Durbin R; Lindgren CM
• Article: JOURNAL OF PROTEOME RESEARCH. 2011;10(12):5562-5567

  Accounting for control mislabeling in case-control biomarker studies.

  Rantalainen M; Holmes CC
• Article: PROTEOME SCIENCE. 2011;9:73

  Variance decomposition of protein profiles from antibody arrays using a longitudinal twin model.

  Kato BS; Nicholson G; Neiman M; Rantalainen M; Holmes CC; Barrett A; Uhlén M; Nilsson P; Spector TD; Schwenk JM
• Article: ANALYTICA CHIMICA ACTA. 2011;705(1-2):72-80

  Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing.

  Fonville JM; Bylesjö M; Coen M; Nicholson JK; Holmes E; Lindon JC; Rantalainen M
• Article: PLOS GENETICS. 2011;7(9):e1002270

  A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.

  Nicholson G; Rantalainen M; Li JV; Maher AD; Malmodin D; Ahmadi KR; Faber JH; Barrett A; Min JL; Rayner NW; Toft H; Krestyaninova M; Viksna J; Neogi SG; Dumas M-E; Sarkans U; MolPAGE Consortium; Donnelly P; Illig T; Adamski J; Suhre K; Allen M; Zondervan KT; Spector TD; Nicholson JK; Lindon JC; Baunsgaard D; Holmes E; McCarthy MI; Holmes CC
• Article: MOLECULAR SYSTEMS BIOLOGY. 2011;7:525

  Human metabolic profiles are stably controlled by genetic and environmental variation.

  Nicholson G; Rantalainen M; Maher AD; Li JV; Malmodin D; Ahmadi KR; Faber JH; Hallgrímsdóttir IB; Barrett A; Toft H; Krestyaninova M; Viksna J; Neogi SG; Dumas M-E; Sarkans U; The Molpage Consortium; Silverman BW; Donnelly P; Nicholson JK; Allen M; Zondervan KT; Lindon JC; Spector TD; McCarthy MI; Holmes E; Baunsgaard D; Holmes CC
• Article: PLOS ONE. 2011;6(11):e27338

  MicroRNA expression in abdominal and gluteal adipose tissue is associated with mRNA expression levels and partly genetically driven.

  Rantalainen M; Herrera BM; Nicholson G; Bowden R; Wills QF; Min JL; Neville MJ; Barrett A; Allen M; Rayner NW; Fleckner J; McCarthy MI; Zondervan KT; Karpe F; Holmes CC; Lindgren CM
• Article: FEMS MICROBIOLOGY ECOLOGY. 2010;73(3):577-586

  Structural shifts of gut microbiota as surrogate endpoints for monitoring host health changes induced by carcinogen exposure.

  Wei H; Dong L; Wang T; Zhang M; Hua W; Zhang C; Pang X; Chen M; Su M; Qiu Y; Zhou M; Yang S; Chen Z; Rantalainen M; Nicholson JK; Jia W; Wu D; Zhao L
• Article: JOURNAL OF PROTEOME RESEARCH. 2009;8(5):2361-2375

  Top-down systems biology modeling of host metabotype-microbiome associations in obese rodents.

  Waldram A; Holmes E; Wang Y; Rantalainen M; Wilson ID; Tuohy KM; McCartney AL; Gibson GR; Nicholson JK
• Article: ANALYTICAL CHEMISTRY. 2009;81(6):2075-2084

  Analytic properties of statistical total correlation spectroscopy based information recovery in 1H NMR metabolic data sets.

  Alves AC; Rantalainen M; Holmes E; Nicholson JK; Ebbels TMD
• Article: BMC BIOINFORMATICS. 2008;9:106

  K-OPLS package: kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space.

  Bylesjö M; Rantalainen M; Nicholson JK; Holmes E; Trygg J
• Article: BMC BIOINFORMATICS. 2008;9:105

  Piecewise multivariate modelling of sequential metabolic profiling data.

  Rantalainen M; Cloarec O; Ebbels TMD; Lundstedt T; Nicholson JK; Holmes E; Trygg J
• Article: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 2008;105(6):2117-2122

  Symbiotic gut microbes modulate human metabolic phenotypes.

  Li M; Wang B; Zhang M; Rantalainen M; Wang S; Zhou H; Zhang Y; Shen J; Pang X; Zhang M; Wei H; Chen Y; Lu H; Zuo J; Su M; Qiu Y; Jia W; Xiao C; Smith LM; Yang S; Holmes E; Tang H; Zhao G; Nicholson JK; Li L; Zhao L
• Article: ANALYTICAL CHEMISTRY. 2007;79(15):5682-5689

  Statistical correlation and projection methods for improved information recovery from diffusion-edited NMR spectra of biological samples.

  Smith LM; Maher AD; Cloarec O; Rantalainen M; Tang H; Elliott P; Stamler J; Lindon JC; Holmes E; Nicholson JK
• Article: JOURNAL OF CHEMOMETRICS. 2007;21(7-9):376-385

  Kernel-based orthogonal projections to latent structures (K-OPLS)

  Rantalainen M; Bylesjoe M; Cloarec O; Nicholson JK; Holmes E; Trygg J
• Article: JOURNAL OF PROTEOME RESEARCH. 2006;5(10):2642-2655

  Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice.

  Rantalainen M; Cloarec O; Beckonert O; Wilson ID; Jackson D; Tonge R; Rowlinson R; Rayner S; Nickson J; Wilkinson RW; Mills JD; Trygg J; Nicholson JK; Holmes E
• Article: JOURNAL OF CHEMOMETRICS. 2006;20(8-10):341-351

  OPLS discriminant analysis:: combining the strengths of PLS-DA and SIMCA classification

  Bylesjo M; Rantalainen M; Cloarec O; Nicholson JK; Holmes E; Trygg J
• Article: MOLECULAR BIOSYSTEMS. 2006;2(3-4):193-202

  The comparative metabonomics of age-related changes in the urinary composition of male Wistar-derived and Zucker (fa/fa) obese rats.

  Williams RE; Lenz EM; Rantalainen M; Wilson ID
• Article: MOLECULAR BIOSYSTEMS. 2005;1(2):166-175

  The metabonomics of aging and development in the rat: an investigation into the effect of age on the profile of endogenous metabolites in the urine of male rats using 1H NMR and HPLC-TOF MS.

  Williams RE; Lenz EM; Lowden JS; Rantalainen M; Wilson ID
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Medarbetare och kontakt

Gruppledare

• 

  Mattias Rantalainen

  Lektor | Docent

  Telefon +46852482465

  E-postadress mattias.rantalainen@ki.se

Alla medlemmar i gruppen

• 

  Constance Boissin

  Postdoktor

  E-postadress constance.boissin@ki.se
• Ariane Buckenmeyer

  Forskningstekniker

  E-postadress ariane.buckenmeyer@ki.se
• 

  Fredrik Gustafsson

  Postdoktor

  E-postadress fredrik.gustafsson@ki.se
• Kajsa Ledesma Eriksson

  Anknuten till Forskning

  E-postadress kajsa.ledesma.eriksson@ki.se
• 

  Bojing Liu

  Forskningsspecialist

  E-postadress bojing.liu@ki.se
• 

  Francisco J. Peña

  Postdoktor

  E-postadress francisco.pena@ki.se
• Sandra Kristiane Sinius Pouplier

  Anknuten till Forskning

  E-postadress sandra.kristiane.sinius.pouplier@ki.se
• 

  Mattias Rantalainen

  Lektor | Docent

  Telefon +46852482465

  E-postadress mattias.rantalainen@ki.se
• Dusan Rasic

  Anknuten till Forskning

  E-postadress dusan.rasic@ki.se
• 

  Abhinav Sharma

  Doktorand

  E-postadress abhinav.sharma@ki.se
• Nguyen Thuy Duong Tran

  Forskningstekniker

  Telefon +46852486818

  E-postadress nguyen.thuy.duong.tran@ki.se
• Yinxi Wang

  Anknuten till Forskning

  E-postadress yinxi.wang@ki.se
• 

  Philippe Weitz

  Doktorand

  E-postadress philippe.weitz@ki.se
• Yujie Xiang

  Doktorand

  E-postadress yujie.xiang@ki.se

Besöksadress

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Nobels väg 12A, Stockholm, 171 77, Sweden

Postadress

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, PO Box 281, Stockholm, 171 77, Sweden