探花精选

Mattias Rantalainen

Mattias Rantalainen

Senior Lecturer | Docent
Telephone: +46852482465
Visiting address: ,
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB II Rantalainen, 171 77 Stockholm

About me

  • The Predictive Medicine group focus on 探花精选 research that is driven by statistical machine learning, artificial intelligence and big data. Currently our main focus is on computational pathology. I am an associate professor (docent) at the Department of Medical Epidemiology and Biostatistics where I lead the Predictive Medicine group.

    I was previously a research fellow (2009-2013) with a joint affiliation at the Department of Statistics (University of Oxford) and at the Wellcome Trust Centre for Human Genetics (University of Oxford) where I worked with Professor Chris Holmes and Dr. Cecilia Lindgren. I was awarded the MRC Centenary Early Career Award (2012-2013) and a Medical Research Council (MRC) Special Training Fellowship in Bio探花精选 Informatics (2009-2012). I had a postdoctoral position working on the data analysis work package for the MolPAGE consortium in Prof Chris Holmes鈥 group at the Department of Statistics in Oxford (2008). I completed my PhD at Imperial College London where I developed novel multivariate pattern recognition methods with applications in metabonomics, working together with Professor Elaine Holmes and Professor Jeremy Nicholson. I have an undergraduate degree in Engineering Biology (combined BSc/MSc) from Ume氓 University in Sweden.

Research

  • The Predictive Medicine group focus on 探花精选 research that is driven by statistical machine learning, artificial intelligence (AI) and large population representative data sets. Currently our research is centered on projects in the computational pathology domain.

    We develop and apply statistical and machine learning methodologies for predictive modelling in bio探花精选 applications with a particular interest in precision medicine and cancer research. Our mission is to drive the development and application of data-driven approaches in cancer precision medicine and to develop and validate novel patient stratification models, including prognostic and treatment predictive applications. To achieve this we develop methods and models that allow us to transform large bio探花精选 data into clinically relevant predictions at the individual level.

    Some of our research is focused on clinical translation and implementation. Our research is based on large datasets (big-data) across multiple modalities including comprehensive molecular profiling (e.g. DNA- and RNA-sequencing), clinical information and 探花精选 imaging data (histopathology).

    Main research areas
    Computational pathology: AI (deep learning) driven research focusing on developing and validating models in the domain of cancer histopathology. The research is based on large population representative studies (we have >70, 000 WSIs collected in-house). The main focus is on breast, prostate and colorectal cancer (www.chimestudy.se & www.abcap.org). I coordinate the Swedish AI Precision Pathology (SwAIPP) consortium, focusing on translation and implementation of AI-based pathology (www.swaipp.org) Cancer precision medicine:* Development and validation of predictive models for improved patient stratification, based on comprehensive molecular phenotyping data (e.g. DNA- and RNA-sequencing) 

Teaching

  • Course director: 

    Supervision of PhD students
    * Yujie Xiang
    * Kajsa Ledesma Eriksson
    * Dusan Rasic (co-supervisor)
    * Sandra Kristiane Sinius Pouplier (co-supervisor)
    * Tewodros Yalew (co-supervisor)
    * Venkatesh Chellappa Patel (co-supervisor)
    * Xiaoyang Du (co-supervisor)

    Supervision of Postdocs
    * Bojing Liu

    * Constance Boissin
    * Sayna Rotbei

    Former group members/supervised students

    * Fredrik Gustafsson (Postdoc, main supervisor)

    * Franciso Pena (Postdoc, main supervisor)

    * Philippe Weitz (PhD student, main supervisor)
    * Abhinav Sharma (PhD student, main supervisor)

    * Quang Thinh Trac (PhD student, co-supervisor)

    * Yinxi Wang (PhD student, main supervisor)
    * Peter Str枚m (PhD student, co-supervisor)
    * Pablo Gonzalez Ginestet (PhD student, co-supervisor)
    * Charlotte Von Heijne Widlund (visiting scientist)
    * Mei Wang (Postdoc; currently Research Assistant Professor, School of life science, Peking University, China)
    * Arvind Mer (Postdoc, currently Assistant Professor, University of Ottawa, Canada)
    * Nghia Vu (Postdoc; currently Assistant Professor, 探花精选, MEB)
    * Daniel Garcia Le贸n (Postdoc)

    * Yanbo Feng (Postdoc)

    * Leslie Solorzano Vargas (Postdoc)
    * Astrid Helzen (Technician)
    * Balasz Acs (Associated postdoc)
    * Kajsa Ledesma Eriksson (MSc student)
    * Sandy Kang L枚vgren (MSc student)
    * Anton Normelius (MSc student)
    * Boxi Zhang (MSc student)
    * Youcheng Zhang (MSc student)

Articles

  • Journal article: MODERN PATHOLOGY. 2025;38(11):100850
    Steen S; Boissin C; Rantalainen M; Acs B; Hartman J
  • Article: BMJ OPEN. 2025;15(7):e097591
    Mulliqi N; Blilie A; Ji X; Szolnoky K; Olsson H; Titus M; Martinez Gonzalez G; Boman SE; Valkonen M; Gudlaugsson E; Kjosavik SR; Asenjo J; Gambacorta M; Libretti P; Braun M; Kordek R; Lowicki R; Hotakainen K; Vare P; Pedersen BG; Sorensen KD; Ulhoi BP; Rantalainen M; Ruusuvuori P; Delahunt B; Samaratunga H; Tsuzuki T; Janssen EAM; Egevad L; Kartasalo K; Eklund M
  • Journal article: CLINICAL CANCER RESEARCH. 2025;31(12):p4-03-28-p4-03-28-P40328
    Sharma A; Lovgren SK; Eriksson KL; Wang Y; Robertson S; Hartman J; Rantalainen M
  • Journal article: SCIENTIFIC REPORTS. 2025;15(1):19804
    Sharma A; Liu B; Rantalainen M
  • Journal article: ELIFE. 2025;13
    Trac QT; Huang Y; Erkers T; 脰stling P; Bohlin A; Osterroos A; Vesterlund M; Jafari R; Siavelis I; Backvall H; Kiviluoto S; Orre L; Rantalainen M; Lehti枚 J; Lehmann S; Kallioniemi O; Pawitan Y; Vu TN
  • Journal article: ESMO OPEN. 2025;10:104632
    Tzoras E; Salgkamis D; Tsiknakis N; Johansson H; Sun W; Hellstr枚m M; Andersson A; Loibl S; Untch M; Denkert C; Jank P; Rantalainen M; Hartman J; Zerdes I; Matikas A; Bergh J; Foukakis T
  • Article: MODERN PATHOLOGY. 2025;38(5):100715
    Ji X; Salmon R; Mulliqi N; Khan U; Wang Y; Blilie A; Olsson H; Pedersen BG; Sorensen KD; Ulhoi BP; Kjosavik SR; Janssen EAM; Rantalainen M; Egevad L; Ruusuvuori P; Eklund M; Kartasalo K
  • Article: BMC CANCER. 2024;24(1):1510
    Ekholm A; Wang Y; Vallon-Christersson J; Boissin C; Rantalainen M
  • Article: MEDICAL IMAGE ANALYSIS. 2024;97:103257
    Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Robertson S; Marzahl C; Gatenbee CD; Anderson ARA; Wodzinski M; Jurgas A; Marini N; Atzori M; M眉ller H; Budelmann D; Weiss N; Heldmann S; Lotz J; Wolterink JM; De Santi B; Patil A; Sethi A; Kondo S; Kasai S; Hirasawa K; Farrokh M; Kumar N; Greiner R; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
  • Article: BREAST CANCER RESEARCH. 2024;26(1):123
    Sharma A; Lovgren SK; Eriksson KL; Wang Y; Robertson S; Hartman J; Rantalainen M
  • Article: BREAST CANCER RESEARCH AND TREATMENT. 2024;206(1):163-175
    Wang Y; Sun W; Karlsson E; Lovgren SK; Acs B; Rantalainen M; Robertson S; Hartman J
  • Article: HELIYON. 2024;10(12):e32892
    Solorzano L; Robertson S; Acs B; Hartman J; Rantalainen M
  • Article: BREAST CANCER RESEARCH. 2024;26(1):90
    Boissin C; Wang Y; Sharma A; Weitz P; Karlsson E; Robertson S; Hartman J; Rantalainen M
  • Journal article: CANCER RESEARCH. 2024;84(9):po4-07-05-po4-07-05
    Robertson S; Wang Y; Sun W; Karlsson E; Lovgren SK; Rantalainen M; Hartman J
  • Article: BREAST CANCER RESEARCH. 2024;26(1):17
    Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
  • Article: EUROPEAN JOURNAL OF CANCER. 2023;191:112953
    Wang Y; Ali MA; Vallon-Christersson J; Humphreys K; Hartman J; Rantalainen M
  • Article: SCIENTIFIC DATA. 2023;10(1):562
    Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
  • Journal article: CANCER RESEARCH. 2023;83(7):5432
    Ton K; Wang Y; Pan L; Kartasalo K; Acs B; Weitz P; Zhang L; Liang Y; Hartman J; Volkonen M; Larsson C; Ruusuvuori P; Beechem J; Rantalainen M
  • Article: NPJ PRECISION ONCOLOGY. 2023;7(1):32
    Trac QT; Pawitan Y; Mou T; Erkers T; Ostling P; Bohlin A; Osterroos A; Vesterlund M; Jafari R; Siavelis I; Backvall H; Kiviluoto S; Orre LM; Rantalainen M; Lehtio J; Lehmann S; Kallioniemi O; Vu TN
  • Article: ISCIENCE. 2022;25(7):104663
    Liu B; Wang Y; Weitz P; Lindberg J; Hartman J; Wang W; Egevad L; Gronberg H; Eklund M; Rantalainen M
  • Article: BIOINFORMATICS. 2022;38(13):3462-3469
    Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Gronberg H; Eklund M; Rantalainen M
  • Article: ANNALS OF ONCOLOGY. 2022;33(1):89-98
    Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wahlby C; Hartman J; Rantalainen M
  • Article: CANCER RESEARCH. 2021;81(19):5115-5126
    Wang Y; Kartasalo K; Weitz P; Acs B; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
  • Article: BLOOD ADVANCES. 2021;5(4):1003-1016
    Mareschal S; Palau A; Lindberg J; Ruminy P; Nilsson C; Bengtzen S; Engvall M; Eriksson A; Neddermeyer A; Marchand V; Jansson M; Bjorklund M; Jardin F; Rantalainen M; Lennartsson A; Cavelier L; Gronberg H; Lehmann S
  • Article: NATURE COMMUNICATIONS. 2021;12(1):1054
    Mer AS; Heath EM; Tonekaboni SAM; 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
  • Article: BLOOD CANCER JOURNAL. 2020;10(6):67
    Osterroos A; Bjorklund M; Eriksson A; Lindberg J; Nilsson C; Mareschal S; Rantalainen M; Gronberg H; Lehmann S
  • Article: LANCET ONCOLOGY. 2020;21(2):222-232
    Strom 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; Wahlby C; Gronberg H; Rantalainen M; Egevad L; Eklund M
  • Article: CLINICAL CANCER RESEARCH. 2019;25(6):1766-1773
    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; Ullen A; Yachnin J; Gronberg H; Van Laere SJ; Lindberg J; Dirix LY
  • Article: GENOME MEDICINE. 2018;10(1):85
    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; Nordstrom T; Van Laere S; Rantalainen M; Rajan P; Egevad L; Ullen A; Yachnin J; Dirix L; Gronberg H; Lindberg J
  • Article: JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE. 2018;110(10):1094-1101
    Wang M; Lindberg J; Klevebring D; Nilsson C; Lehmann S; Gronberg H; Rantalainen M
  • Article: JOURNAL OF CLINICAL PATHOLOGY. 2018;71(9):787-794
    Robertson S; Stalhammar G; Darai-Ramqvist E; Rantalainen M; Tobin NP; Bergh J; Hartman J
  • Article: BIOINFORMATICS. 2018;34(14):2392-2400
    Trung NV; Wills QF; Kalari KR; Niu N; Wang L; Pawitan Y; Rantalainen M
  • Article: BRIEFINGS IN FUNCTIONAL GENOMICS. 2018;17(4):273-282
    Rantalainen M
  • Article: HISTOPATHOLOGY. 2018;72(6):974-989
    Stalhammar G; Robertson S; Wedlund L; Lippert M; Rantalainen M; Bergh J; Hartman J
  • Article: JOURNAL OF HEMATOLOGY & ONCOLOGY. 2018;11(1):52
    Mer AS; Lindberg J; Nilsson C; Klevebring D; Wang M; Gronberg H; Lehmann S; Rantalainen M
  • Article: BMC CANCER. 2017;17(1):802
    Karthik G-M; Rantalainen M; Stalhammar G; Lovrot J; Ullah I; Alkodsi A; Ma R; Wedlund L; Lindberg J; Frisell J; Bergh J; Hartman J
  • Article: LEUKEMIA. 2017;31(10):2029-2036
    Wang M; Lindberg J; Klevebring D; Nilsson C; Mer AS; Rantalainen M; Lehmann S; Gronberg H
  • Article: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION. 2017;24(5):950-957
    Spjuth O; Karlsson A; Clements M; Humphreys K; Ivansson E; Dowling J; Eklund M; Jauhiainen A; Czene K; Gronberg H; Sparen P; Wiklund F; Cheddad A; Palsdottir P; Rantalainen M; Abrahamsson L; Laure E; Litton J-E; Palmgren J
  • Article: CANCER RESEARCH. 2017;77(13):3708-3717
    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
    Li J; Ivansson E; Klevebring D; Tobin NP; Lindstrom LS; Holm J; Prochazka G; Cristando C; Palmgren J; Tornberg S; Humphreys K; Hartman J; Frisell J; Rantalainen M; Lindberg J; Hall P; Bergh J; Gronberg H; Czene K
  • Article: SCIENTIFIC REPORTS. 2016;6:38037
    Rantalainen M; Klevebring D; Lindberg J; Ivansson E; Rosin G; Kis L; Celebioglu F; Fredriksson I; Czene K; Frisell J; Hartman J; Bergh J; Gr枚nberg H
  • Article: BIOINFORMATICS. 2016;32(14):2128-2135
    Trung NV; Wills QF; Kalari KR; Niu N; Wang L; Rantalainen M; Pawitan Y
  • Article: CELL REPORTS. 2016;15(9):2000-2011
    Georgoudaki A-M; Prokopec KE; Boura VF; Hellqvist E; Sohn S; Ostling 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
    Wang M; Klevebring D; Lindberg J; Czene K; Gr枚nberg H; Rantalainen M
  • Article: MODERN PATHOLOGY. 2016;29(4):318-329
    Stalhammar G; Martinez NF; Lippert M; Tobin NP; Molholm I; Kis L; Rosin G; Rantalainen M; Pedersen L; Bergh J; Grunkin M; Hartman J
  • Article: SCIENTIFIC REPORTS. 2016;6:20200
    Mer AS; Klevebring D; Gr枚nberg H; Rantalainen M
  • Article: PLOS ONE. 2015;10(5):e0127882
    Rantalainen M; Lindgren CM; Holmes CC
  • Article: JOURNAL OF ALZHEIMERS DISEASE. 2015;45(4):1061-1076
    Sun Y; Bresell A; Rantalainen M; Hoglund K; Lebouvier T; Salter H
  • Article: JOURNAL OF PROTEOME RESEARCH. 2015;14(1):479-490
    Rantalainen M; Bjerrum JT; Olsen J; Nielsen OH; Wang Y
  • Article: METHODS IN MOLECULAR BIOLOGY. 2015;1277:147-159
    Rantalainen M
  • Article: METABOLOMICS. 2014;10(2):280-290
    Bjerrum JT; Rantalainen M; Wang Y; Olsen J; Nielsen OH
  • Journal article: GASTROENTEROLOGY. 2013;144(5):s-193
    Bjerrum JT; Rantalainen M; Wang Y; Olsen J; Nielsen OH
  • Article: PLOS ONE. 2013;8(2):e55923
    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
  • Article: JOURNAL OF PROTEOME RESEARCH. 2012;11(9):4712-4721
    Zhao X-J; Hao F; Huang C; Rantalainen M; Lei H; Tang H; Wang Y
  • Article: PLOS GENETICS. 2012;8(5):e1002704
    Parts L; Hedman AK; Keildson S; Knights AJ; Abreu-Goodger C; van de Bunt M; Guerra-Assuncao JA; Bartonicek N; van Dongen S; Maegi R; Nisbet J; Barrett A; Rantalainen M; Nica AC; Quail MA; Small KS; Glass D; Enright AJ; Winn J; Deloukas P; Dermitzakis ET; McCarthy MI; Spector TD; Durbin R; Lindgren CM
  • Article: JOURNAL OF PROTEOME RESEARCH. 2011;10(12):5562-5567
    Rantalainen M; Holmes CC
  • Article: PROTEOME SCIENCE. 2011;9:73
    Kato BS; Nicholson G; Neiman M; Rantalainen M; Holmes CC; Barrett A; Uhlen M; Nilsson P; Spector TD; Schwenk JM
  • Article: PLOS ONE. 2011;6(11):e27338
    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: ANALYTICA CHIMICA ACTA. 2011;705(1-2):72-80
    Fonville JM; Bylesjoe M; Coen M; Nicholson JK; Holmes E; Lindon JC; Rantalainen M
  • Article: PLOS GENETICS. 2011;7(9):e1002270
    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; 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
    Nicholson G; Rantalainen M; Maher AD; Li JV; Malmodin D; Ahmadi KR; Faber JH; Hallgrimsdottir IB; Barrett A; Toft H; Krestyaninova M; Viksna J; Neogi SG; Dumas M-E; Sarkans U; Silverman BW; Donnelly P; Nicholson JK; Allen M; Zondervan KT; Lindon JC; Spector TD; McCarthy MI; Holmes E; Baunsgaard D; Holmes CC
  • Article: FEMS MICROBIOLOGY ECOLOGY. 2010;73(3):577-586
    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
    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
    Alves AC; Rantalainen M; Holmes E; Nicholson JK; Ebbels TMD
  • Article: BMC BIOINFORMATICS. 2008;9:106
    Bylesjo M; Rantalainen M; Nicholson JK; Holmes E; Trygg J
  • Article: BMC BIOINFORMATICS. 2008;9:105
    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
    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
  • Journal article: JOURNAL OF PROTEOME RESEARCH. 2007;6(10):3944-3951
    Wang Y; Holmes E; Comelli EM; Fotopoulos G; Dorta G; Tang H; Rantalainen MJ; Lindon JC; Corthesy-Theulaz IE; Fay LB; Kochhar S; Nicholson JK
  • Article: ANALYTICAL CHEMISTRY. 2007;79(15):5682-5689
    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
    Rantalainen M; Bylesjoe M; Cloarec O; Nicholson JK; Holmes E; Trygg J
  • Article: JOURNAL OF PROTEOME RESEARCH. 2006;5(10):2642-2655
    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
    Bylesjo M; Rantalainen M; Cloarec O; Nicholson JK; Holmes E; Trygg J
  • Article: MOLECULAR BIOSYSTEMS. 2006;2(3-4):193-202
    Williams RE; Lenz EM; Rantalainen M; Willson ID
  • Article: MOLECULAR BIOSYSTEMS. 2005;1(2):166-175
    Williams RE; Lenz EM; Lowden JS; Rantalainen M; Wilson ID
  • Show more

All other publications

  • Preprint: ARXIV. 2025
    Xiang Y; Liu B; Rantalainen M
  • Preprint: MEDRXIV. 2025
    Du X; Gkekos L; Rai B; Johansson ALV; Fredriksson I; Rantalainen M; Heintz E; Hao S; Clements M
  • Preprint: ELIFE. 2025
    Trac QT; Huang Y; Erkers T; Ostling P; Bohlin A; Osterroos A; Vesterlund M; Jafari R; Siavelis I; Backvall H; Kiviluoto S; Orre L; Rantalainen M; Lehtio J; Lehmann S; Kallioniemi O; Pawitan Y; Vu TN
  • Preprint: MEDRXIV. 2024
    Sharma A; Gustafsson F; Hartman J; Rantalainen M
  • Preprint: ARXIV. 2024
    Gustafsson FK; Rantalainen M
  • Preprint: ARXIV. 2024
    Gustafsson FK; Rantalainen M
  • Preprint: MEDRXIV. 2024
    Mulliqi N; Blilie A; Ji X; Szolnoky K; Olsson H; Titus M; Gonzalez GM; Boman SE; Valkonen M; Gudlaugsson E; Kjosavik S; Asenjo J; Gambacorta M; Libretti P; Braun M; Kordek R; 艁owicki R; Hotakainen K; V盲re P; Pedersen BG; S酶rensen KD; Ulh酶i BP; Rantalainen M; Ruusuvuori P; Delahunt B; Samaratunga H; Tsuzuki T; Janssen EAM; Egevad L; Kartasalo K; Eklund M
  • Preprint: BIORXIV. 2024
    Trac QT; Huang Y; Erkers T; 脰stling P; Bohlin A; 脰sterroos A; Vesterlund M; Jafari R; Siavelis I; B盲ckvall H; Kiviluoto S; Orre L; Rantalainen M; Lehti枚 J; Lehmann S; Kallioniemi O; Pawitan Y; Vu TN
  • Preprint: ARXIV. 2024
    Sharma A; Liu B; Rantalainen M
  • Preprint: RESEARCH SQUARE. 2023
    Robertson S; Wang Y; Sun W; Karlsson E; L枚vgren SK; Acs B; Rantalainen M; Hartman J
  • Preprint: MEDRXIV. 2023
    Sharma A; L枚vgren SK; Eriksson KL; Wang Y; Robertson S; Hartman J; Rantalainen M
  • Preprint: MEDRXIV. 2023
    Wang Y; Sun W; Karlsson E; L枚vgren SK; 脕cs B; Rantalainen M; Rantalainen M; Robertson S; Hartman J
  • Preprint: MEDRXIV. 2023
    Boissin C; Wang Y; Sharma A; Weitz P; Karlsson E; Robertson S; Hartman J; Rantalainen M
  • Preprint: ARXIV. 2023
    Ji X; Salmon R; Mulliqi N; Khan U; Wang Y; Blilie A; Olsson H; Pedersen BG; S酶rensen KD; Ulh酶i BP; Kjosavik SR; Janssen EA; Rantalainen M; Egevad L; Ruusuvuori P; Eklund M; Kartasalo K
  • Preprint: ARXIV. 2023
    Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SS; Sharma A; Eriksson KL; Robertson S; Marzahl C; Gatenbee CD; Anderson ARA; Wodzinski M; Jurgas A; Marini N; Atzori M; M眉ller H; Budelmann D; Weiss N; Heldmann S; Lotz J; Wolterink JM; De Santi B; Patil A; Sethi A; Kondo S; Kasai S; Hirasawa K; Farrokh M; Kumar N; Greiner R; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
  • Preprint: BIORXIV. 2023
    Solorzano L; Robertson S; Hartman J; Rantalainen M
  • Preprint: ARXIV. 2023
    Weitz P; Sartor V; Acs B; Robertson S; Budelmann D; Hartman J; Rantalainen M
  • Preprint: MEDRXIV. 2023
    Sharma A; Weitz P; Wang Y; Liu B; Hartman J; Rantalainen M
  • Preprint: ARXIV. 2022
    Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Pouplier SKS; Sharma A; Eriksson KL; Latonen L; Laenkholm A-V; Hartman J; Ruusuvuori P; Rantalainen M
  • Conference publication: 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021). 2021;:611-619
    Weitz P; Wang Y; Hartman J; Rantalainen M
  • Preprint: RESEARCH SQUARE. 2021
    Ginestet PG; Weitz P; Rantalainen M; Gabriel E
  • Review: EUROPEAN UROLOGY FOCUS. 2021;7(4):687-691
    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; Wahlby C; Litjens G; Ruusuvuori P; Egevad L; Eklund M
  • Preprint: ARXIV. 2021
    Liu B; Wang Y; Weitz P; Lindberg J; Hartman J; Egevad L; Gr枚nberg H; Eklund M; Rantalainen M
  • Preprint: ARXIV. 2021
    Weitz P; Wang Y; Kartasalo K; Egevad L; Lindberg J; Gr枚nberg H; Eklund M; Rantalainen M
  • Preprint: ARXIV. 2020
    Wang Y; Kartasalo K; Valkonen M; Larsson C; Ruusuvuori P; Hartman J; Rantalainen M
  • Review: JOURNAL OF INTERNAL MEDICINE. 2020;288(1):62-81
    Acs B; Rantalainen M; Hartman J
  • Conference publication: CANCER RESEARCH. 2020;80(4):p5-02-06-p5-02-06
    Rantalainen M; Wang Y; Acz B; Robertson S; Hartman J
  • Preprint: ARXIV. 2019
    Str枚m 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; Bergstr枚m C; Ruusuvuori P; W盲hlby C; Gr枚nberg H; Rantalainen M; Egevad L; Eklund M
  • Letter: JAMA ONCOLOGY. 2019;5(7):1060-1062
    De Laere B; Rajan P; Gronberg H; Dirix L; Lindberg J; Mayrhofer M; Whitington T; van Dam P-J; Van Oyen P; Ghysel C; Ampe J; Ost P; Demey W; Hoela L; Schrijvers D; Brouwers B; Lybaert W; Everaert E; De Maeseneer D; Strijbos M; Bols A; Fransis K; Beije N; de Kruijff I; van Dam V; Brouwer A; Goossens D; Heyrman L; Van den Eynden G; Rutten A; Del Favero J; Rantalainen M; Sleijfer S; Ullen A; Yachnin J; Van Laere S; De laere L; Develter T; Vantieghem S; Herman S; Coifs G; Lamotte V; Boumans A; Baitar A; Haeck R; Wallays G
  • Preprint: BIORXIV. 2018
    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; Nordstr枚m T; Van Laere S; Rantalainen M; Rajan P; Egevad L; Ull茅n A; Yachnin J; Dirix L; Gr枚nberg H; Lindberg J
  • Conference publication: CANCER RESEARCH. 2017;77:p2-03-03-p2-03-03
    Czene K; Ivansson E; Klevebring D; Tobin NP; Lindstrom LS; Holm J; Prochazka G; Hilliges C; Palmgren J; Tornberg S; Humphreys K; Hartman J; Frisell J; Rantalainen M; Lindberg J; Hall P; Bergh J; Gronberg H; Li J
  • Preprint: BIORXIV. 2016
    Vu TN; Wills QF; Kalari KR; Niu N; Wang L; Pawitan Y; Rantalainen M
  • Book chapter: COMPREHENSIVE CHEMOMETRICS. 2009;p. 101-114
    Bylesj枚 M; Cloarec O; Rantalainen M
  • Book chapter: COMPREHENSIVE CHEMOMETRICS. 2009;p. 205-211
    Bylesj枚 M; Rantalainen M
  • Book chapter: COMPREHENSIVE CHEMOMETRICS. 2009;p. 109-127
    Bylesj枚 M; Cloarec O; Rantalainen M
  • Book chapter: COMPREHENSIVE CHEMOMETRICS. 2009;p. 129-138
    Bylesj枚 M; Rantalainen M
  • Show more

Grants

  • Swedish Research Council
    1 December 2024 - 30 November 2028
    Breast cancer (BC) remains a global health challenge, with 7.8 million new cases annually. Despite treatment and screening advances that have gradually improved outcomes since the 1970s, many patients still do not survive their dissease, creating an urgent need for precision diagnostics to identify high-risk individuals and predict therapeutic responses. The Consortium for AI in Registry-Based Image Epidemiology Research in Breast Cancer (CARE-B) addresses this by combining registry data, histopathology images, and AI to improve BC characterization.CARE-B will establish an internationally unique large (up to 30,000 patients), multimodal聽multi-site database integrating clinical data, whole slide images (WSIs), and molecular profiles from breast cancer cohorts in Sweden, Denmark, and Scotland. The consortium will develop scalable AI models for cost-effective precision diagnostics, focusing on deep phenotyping of BC subtypes based on routine H&E stained histopathology slides, characterise intra-tumor heterogeneity (ITH), predicting treatment responses and for prognostic stratification.CARE-B will foster collaboration, support junior researchers, and advance epidemiological research and clinical translation. By leveraging AI and registry data, CARE-B aims to significantly impact BC research and clinical diagnostics, creating a foundation for future advances in precision medicine, while also building a research environment that take health-registry research to the next level.
  • VINNOVA
    1 September 2024 - 16 September 2027
  • Swedish Cancer Society
    1 January 2024
    Cancer is a leading cause of death globally. Precision medicine, which offers new (targeted) therapies, has the potential to improve cancer care. However, precision diagnostic solutions are required to be able to provide the right treatment to the right patient, and to be able to do it quickly, reliably and cost-effectively. Molecular diagnostics offer improved diagnostics, but at a high cost, which limits patient access and also places a high financial burden on healthcare systems. AI technology has the potential to offer new precision diagnostics that can reach broad patient groups. In this project, we develop and validate AI-based image analysis solutions for cancer diagnostics in breast and prostate cancer. Clinical pathology is undergoing a digital transition that enables the introduction of AI-based decision support tools for precision diagnostics at a fraction of the cost of molecular diagnostics. The project uses large and unique study materials consisting of histopathology images and clinical pathology data for the development and clinical validation of new AI-based precision diagnostic solutions. The project has the potential to contribute to improving diagnostics and cancer care and increased access to precision diagnostics. The goals of the projects are partly to build large studies that are the basis for studies in AI-based precision diagnostics, partly to develop solutions that improve prognostic and treatment predictive models for breast and prostate cancer.
  • Swedish Research Council
    1 January 2023 - 31 December 2025
    Cancer is a leading cause of death globally. Precision medicine, offering novel (targeted) therapies, has the potential to substantially improve cancer patient outcomes. However, to be effective, precision diagnostic solutions for patient stratification (prognostic and predictive) are required. To improve outcomes for broad groups of patients, fast, reliable and cost-effective precision diagnostic solutions are needed. Current routine diagnosis of cancer is based on manual histopathological assessment, which is imprecise. Molecular diagnostics offers improved patient stratification, but at a high price, limiting patient access and imposing a high economic burden on healthcare systems.聽CHIME develops, validates and contributes to translation of AI-based image analysis solutions (computational pathology) for cancer diagnosis and patient stratification that meet current and future needs in clinical cancer precision medicine, trials and cancer research. Clinical pathology is undergoing a digital transition that enables translation of AI-based decision support tools for precision diagnostics at a fraction of the cost of molecular diagnostics. CHIME will leverage large and unique study materials (&gt
    400,000 histopathology images and clinical data with outcomes) for the development and validation of clinically relevant models for patient stratification in multiple cancer diseases. CHIME will contribute toward increased access to precision diagnostic and equality in cancer care.
  • VINNOVA
    1 October 2021 - 31 December 2024
  • Swedish Cancer Society
    1 January 2021
    Microscopic examination of stained tissue samples is the primary approach to cancer detection and diagnosis. However, there is a lack of pathology expertise at the same time as the manual review carried out in today's cancer care has a built-in degree of uncertainty and error because the assessments are difficult for the human eye. The uncertainty in the assessments leads to both over- and under-treatment, with potentially large consequences for individual patients. Access to expertise in pathology also varies across locations and over time, which can contribute to a degree of inequality in care. Rapid progress has been made in recent years in an area of artificial intelligence (AI) and machine learning referred to as 鈥渄eep learning鈥. Deep learning models can now be trained to perform difficult prediction problems with reliability comparable to, or better than, humans in a variety of applications, including 探花精选 image analysis. These models may transform cancer care for the better in several areas. This project uses large-scale epidemiological studies for the development and validation of AI-based cancer diagnostics for breast cancer, prostate cancer and colorectal cancer. The goal is that the research should be able to lead to AI-based decision support that can be used to improve the precision of today's routine diagnostics based on tissue samples, but also to the development of new diagnostic and prognostic models. The results will lead to safer diagnoses and increased access to high-quality cancer diagnostics. This will lead to reduced over- and under-treatment, and better patient outcomes.

Employments

  • Senior Lecturer, Department of Medical Epidemiology and Biostatistics, 探花精选, 2020-

Degrees and Education

  • Docent, 探花精选, 2020

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