Magnus Boman
Professor
E-postadress: magnus.boman@ki.se
Telefon: +46852481559
Besöksadress: Maria Aspmans gata 30A, 17164 Solna
Postadress: K2 Medicin, Solna, K2 KEP Askling, 171 77 Stockholm
Om mig
Jag är professor i artificiell intelligens (AI) inom hälsa vid avdelningen Medicin, Solna, Klinisk Epidemiologi (KEP).
För mer information, se min engelska profilsida.
Artiklar
- Article: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH. 2025;40:100816Bjurner P; Isacsson NH; Ben Abdesslem F; Boman M; Forsell E; Kaldo V
- Article: JOURNAL OF INTERNAL MEDICINE. 2025;297(6):693-701Sysojev AO; Delcoigne B; Frisell T; Alfredsson L; Klareskog L; Saevarsdottir S; Boman M; Padyukov L; Askling J; Westerlind H
- Article: JMIR RESEARCH PROTOCOLS. 2025;14:e65790Foyen LF; Sennerstam V; Kontio E; Flygare O; Boman M; Lindsater E
- Article: FRONTIERS IN PUBLIC HEALTH. 2025;12:1369041Sepulveda RS; Boman M
- Article: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH. 2024;38:100773Isacsson NH; Zantvoort K; Forsell E; Boman M; Kaldo V
- Article: PEERJ. 2024;12:e17841Hayes JF; Ben Abdesslem F; Eloranta S; Osborn DPJ; Boman M
- Article: COMMUNICATIONS MEDICINE. 2024;4(1):196Isacsson NH; Ben Abdesslem F; Forsell E; Boman M; Kaldo V
- Article: HEALTH INFORMATICS JOURNAL. 2024;30(4):14604582241290725Brahimllari O; Eloranta S; Georgii-Hemming P; Haider Z; Koch S; Krstic A; Skarp FP; Rosenquist R; Smedby KE; Taylan F; Thorvaldsdottir B; Wirta V; Wasterlid T; Boman M
- Article: SCIENTIFIC REPORTS. 2024;14(1):8036Bark D; Boman M; Depreitere B; Wright DW; Lewen A; Enblad P; Hanell A; Rostami E
- Journal article: DIGITAL SOCIETY. 2023;2(3):46Boman M
- Article: BMJ OPEN. 2023;13(10):e069427Boberg J; Kaldo V; Mataix-Cols D; Crowley JJ; Roelstraete B; Halvorsen M; Forsell E; Isacsson NH; Sullivan PF; Svanborg C; Andersson EH; Lindefors N; Kravchenko O; Mattheisen M; Danielsdottir HB; Ivanova E; Boman M; Fernandez de la Cruz L; Wallert J; Ruck C
- Journal article: BRAIN AND SPINE. 2023;3:101963Bark D; Boman M; Depreitere B; Wright DW; Lewén A; Enblad P; Hånell A; Rostami E
- Article: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 2022;19(4):4779-4793Behravesh R; Rao A; Perez-Ramirez DF; Harutyunyan D; Riggio R; Boman M
- Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):488Tate AE; Akingbuwa WA; Karlsson R; Hottenga J-J; Pool R; Boman M; Larsson H; Lundstrom S; Lichtenstein P; Middeldorp CM; Bartels M; Kuja-Halkola R
- Article: FRONTIERS IN ONCOLOGY. 2022;12:984021Ruiz NR; Abd Own S; Smedby KE; Eloranta S; Koch S; Wasterlid T; Krstic A; Boman M
- Journal article: EUROPEAN NEUROPSYCHOPHARMACOLOGY. 2022;63:e138-e139Wallert J; Boberg J; Kaldo V; Roelstraete B; Crowley J; Halvorsen M; Isacsson NH; Sullivan P; Kravchenko O; Mattheisen M; Ivanova E; Boman M; Fernandez de la Cruz L; Mataix-Cols D; Ruck C
- Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):357Wallert J; Boberg J; Kaldo V; Mataix-Cols D; Flygare O; Crowley JJ; Halvorsen M; Ben Abdesslem F; Boman M; Andersson E; Isacsson NH; Ivanova E; Ruck C
- Article: BMJ OPEN. 2022;12(9):e060679Fletcher-Sandersjoo A; Tatter C; Yang L; Ponten E; Boman M; Lassaren P; Forsberg S; Gronlund I; Tidehag V; Rubenson-Wahlin R; Strommer L; Westberg K; Angeby K; Djarv T; Lundblad O; Bartek JJ; Thelin EP
- Article: PEERJ COMPUTER SCIENCE. 2021;7:e804Carbonell MF; Boman M; Laukka P
- Article: BMC MEDICINE. 2021;19(1):99Hayes JF; Osborn DPJ; Francis E; Ambler G; Tomlinson LA; Boman M; Wong ICK; Geddes JR; Dalman C; Lewis G
- Article: FRONTIERS IN PSYCHOLOGY. 2020;11:567310Boman M; Downs J; Karali A; Pawlby S
- Article: JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY. 2020;88(4):311-321Forsell E; Isacsson N; Blom K; Jernelov S; Ben Abdesslem F; Lindefors N; Boman M; Kaldo V
- Article: IEEE ACCESS. 2020;8:120388-120416Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
- Journal article: PROGRESS IN ARTIFICIAL INTELLIGENCE. 2019;8(4):475-485Boman M; Ben Abdesslem F; Forsell E; Gillblad D; Gornerup O; Isacsson N; Sahlgren M; Kaldo V
- Article: PHYSICAL REVIEW E. 2018;98(5):052101Borlenghi S; Boman M; Delin A
- Article: GLOBAL HEALTH ACTION. 2017;10(sup3):1321904Boman M; Kruse E
- Article: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. 2015;101:147-164Heger T; Boman M
- Journal article: KI - KUNSTLICHE INTELLIGENZ. 2015;29(2):143-152Boman M; Sanches P
- Journal article: NETWORK AND COMMUNICATION TECHNOLOGIES. 2013;2(1)Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
- Article: JOURNAL OF COMPUTATIONAL SCIENCE. 2011;2(3):216-222Cakici B; Boman M
- Article: EUROSURVEILLANCE. 2010;15(35):19651-24Brouwers L; Boman M; Camitz M; Makila K; Tegnell A
- Article: EUROSURVEILLANCE. 2009;14(37):19333-11Brouwers L; Cakici B; Camitz M; Tegnell A; Boman M
- Article: DECISION SUPPORT SYSTEMS. 2006;42(1):318-327Boman M; Sandin A
- Article: INFORMATION SCIENCES. 2005;171(4):293-307Davidsson P; Boman M
- Journal article: ACM TRANSACTIONS ON INTERNET TECHNOLOGY. 2004;4(3):329-339Lybäck D; Boman M
- Journal article: INFO. 2004;6(3):169-171Thorngren B; Andersson P; Bohlin E; Boman M
- Article: PERSONAL AND UBIQUITOUS COMPUTING. 2004;8(1):42-46Nylander S; Bylund M; Boman M
- Article: FLUCTUATION AND NOISE LETTERS. 2002;2(4):L343-L348Rasmusson L; Boman M
- Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):149-158Bertels K; Boman M
- Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):159-168Boman M; Brouwers L; Hansson K; Jansson C-G; Kummeneje J; Verhagen H
- Journal article: JOURNAL OF RISK RESEARCH. 2001;4(1):31-47Ekenberg L; Boman M; Linnerooth-Bayer J
- Journal article: ARTIFICIAL INTELLIGENCE AND LAW. 1999;7(1):17-35Boman M
- Article: DECISION SUPPORT SYSTEMS. 1997;20(1):3-15Ekenberg L; Danielson M; Boman M
- Article: INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. 1996;5(2-3):315-331Ekenberg L; Danielson M; Boman M
- Journal article: APPLIED ARTIFICIAL INTELLIGENCE. 1994;8(4):543-563KJELLIN H; BOMAN M
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Alla övriga publikationer
- Preprint: MEDRXIV. 2025Hardoon S; Osborn D; Boman M; Abdesslem FB; Richards-Belle A; Launders N; Man K; Wong I; Dalman C; Ambler G; Petersen I; Hayes J
- Book chapter: STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. WORKSHOP, CMRXRECON AND MBAS CHALLENGE PAPERS.: LECTURE NOTES IN COMPUTER SCIENCE. 2025;p. 301-312Verardo G; Perez-Ramirez DF; Bruchfeld S; Boman M; Chiesa M; Koch S; Maguire GQ; Kostic D
- Book chapter: PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE: LECTURE NOTES IN COMPUTER SCIENCE. 2025;p. 18-32Verardo G; Boman M; Bruchfeld S; Chiesa M; Koch S; Maguire GQ; Kostic D
- Conference publication: GEBURTSHILFE UND FRAUENHEILKUNDE. 2024;84(10):e223Schmauder S; Sandström A; Boman M; Martin C; Stephansson O
- Preprint: JMIR PREPRINTS. 2024Franke Föyen L; Sennerstam V; Kontio E; Flygare O; Boman M; Lindsäter E
- Preprint: ARXIV. 2024Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Kostic D; Boman M; Voigt T
- Preprint: RESEARCH SQUARE. 2024Bjurner P; Isacsson NH; Abdesslem FB; Boman M; Forsell E; Kaldo V
- Conference publication: ANNALS OF THE RHEUMATIC DISEASES. 2024;83:810Sysojev AO; Delcoigne B; Frisell T; Alfredsson L; Klareskog L; Baecklund E; Bjoerkman L; Kastbom A; Dahlqvist SR; Turesson C; Boman M; Padyukov L; Westerlind H; Askling J
- Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 2024;p. 71-84Gogoulou E; Lesort T; Boman M; Nivre J
- Preprint: ARXIV. 2023Gogoulou E; Lesort T; Boman M; Nivre J
- Preprint: ARXIV. 2023Verardo G; Boman M; Bruchfeld S; Chiesa M; Koch S; Maguire GQ; Kostic D
- Conference publication: 2023;:163-176Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostić D; Boman M
- Preprint: RESEARCH SQUARE. 2023Isacsson NH; Abdesslem FB; Forsell E; Boman M; Kaldo V
- Conference publication: 2022;00:338-344Corcoran D; Kreuger P; Boman M
- Review: JOURNAL OF INTERNAL MEDICINE. 2022;292(2):278-295Eloranta S; Boman M
- Preprint: PSYARXIV. 2022Tate A; Akingbuwa W; Karlsson R; Hottenga J-J; Pool R; Boman M; Larsson H; Lundstrom S; Lichtenstein P; Middeldorp C; Bartels M; Kuja-Halkola R
- Preprint: ARXIV. 2021Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostic D; Boman M
- Conference publication: 2021;00:216-224Corcoran D; Kreuger P; Boman M
- Preprint: MEDRXIV. 2021Wallert J; Boberg J; Kaldo V; Mataix-Cols D; Flygare O; Crowley J; Halvorsen M; Abdesslem FB; Boman M; Andersson E; Isacsson NH; Ivanova E; Rück C
- Conference publication: EUROPEAN PSYCHIATRY. 2021;64:S20Kaldo V; Isacsson N; Forsell E; Bjurner P; Ben Abdesslem F; Boman M
- Preprint: MEDRXIV. 2021Hayes JF; Osborn DP; Francis E; Ambler G; Tomlinson LA; Boman M; Wong I; Geddes J; Dalman C; Lewis G
- Conference publication: 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021). 2021;:575-580Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural TherapyGogoulou E; Boman M; Ben Abdesslem F; Isacsson N; Kaldo V; Sahlgren M
- Preprint: IEEE ACCESS. 2020Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
- Book chapter: FINANCIAL CRYPTOGRAPHY AND DATA SECURITY: LECTURE NOTES IN COMPUTER SCIENCE. 2019;p. 279-293Harz D; Boman M
- Book chapter: FUTURES THINKING AND ORGANIZATIONAL POLICY. 2019;p. 179-199Boman M; Heger T
- Preprint: ARXIV. 2018Borlenghi S; Boman M; Delin A
- Preprint: ARXIV. 2014Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
- Conference publication: 2014;:1-5Boman M; Gillblad D
- Book chapter: SOCIAL COLLECTIVE INTELLIGENCE: COMPUTATIONAL SOCIAL SCIENCES. 2014;p. 203-225Boman M
- Preprint: ARXIV. 2013Boman M; Davidsson P; Younes HL
- Preprint: SSRN ELECTRONIC JOURNAL. 2013Heger T; Boman M
- Conference publication: 2012;:31-35Boman M; Al Hosani F; Cakici B; Guttmann C; Al Mannaei A
- Preprint: 2007Boman M; Johansson SJ
- Book chapter: MICRO MESO MACRO. 2005;p. 305-316Bertels K; Jacques J-M; Boman M
- Published conference paper: ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. 2004;42(1-3):141-166Odelstad J; Boman M
- Book chapter: SYSTEMS APPROACHES AND THEIR APPLICATION. 2004;p. 95-118Boman M; Holm E
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2003;2684:243-261Laaksolahti J; Boman M
- Preprint: ARXIV. 2002Boman M; Bylund M; Espinoza F; Danielson M; Lyback D
- Conference publication: 2001;:150-159BOMAN M; JOHANSSON SJ; LYBÄCK D
- Book chapter: ROBOCUP 2000: ROBOT SOCCER WORLD CUP IV: LECTURE NOTES IN COMPUTER SCIENCE. 2001;p. 643-646Saffiotti A; Boman M; Buschka P; Davidsson P; Johansson S; Wasik Z
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1882:166-177Davidsson P; Boman M
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:642-645Kummeneje J; Lybäck D; Younes H; Boman M
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:784-787Boman M; LeBlanc K; Guttmann C; Saffiotti A
- Conference publication: 2000;:377-378Davidsson P; Boman M
- Conference publication: PROCEEDINGS - INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA. 2000;:565-569Boman M; Ekenberg L
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 1999;1604:352-357Boman M; Åberg H; Åhman Å; Andreasen J; Danielson M; Jansson CG; Kummeneje J; Verhagen H; Walter J
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 1999;1585:285-292Johansson S; Carlsson B; Boman M
- Editorial comment: ROBOTICS AND AUTONOMOUS SYSTEMS. 1998;24(3-4):89-91Boman M
- Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 1997;1237:36-44Boman M
- Published conference paper: MULTI-AGENT RATIONALITY. 1997;1237:156-176Ygge F; Akkermans H
- Book chapter: DISTRIBUTED SOFTWARE AGENTS AND APPLICATIONS: LECTURE NOTES IN COMPUTER SCIENCE. 1996;p. 54-62Ekenberg L; Danielson M; Boman M
- Book chapter: CKBS ’90. 1991;p. 255-270Boman M; Johannesson P
- Scholarly edition:A constraint programming agent for automated tradingAurell E; Boman M; Carlsson M; Eriksson J; Finne N; Janson S; Kreuger P; Rasmusson L
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Forskningsbidrag
- Swedish Research Council1 January 2024 - 31 December 2026Pathologists routinely perform cancer identification and risk assessments on breast tissue section images and medical patient data. Spatial Transcriptomics (ST) is a novel technology developed in Sweden that allows measuring where in a tissue section a certain RNA was expressed. Our overall aims are to evaluate (a) how the additional consideration of ST gene expression data in addition to tissue section images improves the identification and classification of cancer sub-types in breast tissue sections, (b) if the additional consideration of normal breast tissue adjacent to tumor tissue allows finding cancer onset signatures in the images or in the ST expression data and (c) if considering genome sequence and/or clinical patient data further improves cancer classification.We will computationally analyze our own novel large ST dataset consisting of 48 breast tissue sections from eleven individuals with different cancer types together with non-cancer sections from the same individuals. Whole genome sequencing data is available from the tumor and matched peripheral blood as control from five individuals. Detailed clinical characteristics are available for all individuals.We might be able to give advice on how the novel ST technology can improve traditional cancer identification and classification as well as how the inclusion of additional non-cancer samples, genome sequence information and clinical patient data can improve the classification outcome.
- Swedish Research Council1 January 2023 - 31 December 2025This nursing science precision health project, focus on complex interactions among biological, social, and behavioural factors, and their effects on outcomes. By researching patients’ experience of symptoms and linking these to biological data, we aim to increase the sensitivity and specificity of LC diagnosis and to aid in investigate molecular determinants of common symptoms, e.g. fatigue and cachexia. Furthermore, we aim to develop our measures for use to monitor treatment response in patients receiving immunotherapy. With previous VR funding (2016-1712, 2019-1222), we developed an interactive questionnaire, Peklung, to generate detailed descriptions about early health changes in LC and used it to collect data from ∼700 patients at diagnostic LC work-upin parallel we also collected plasma samples from these patients. We apply here for continued VR funding to link patient-reported data from Peklung with biomolecular and imaging profiles, to determine biomarkers of LC and other lung diseases, and to investigate new molecular determinants of symptoms with unclear aetiology and mechanism, e.g. fatigue, cachexia. Establishing symptomatology related to early LC can: decrease diagnostic delay, with increased chance of curative treatment options and shorter time spans to curative or palliative treatment, thus reducing distress for patients/familiesconnect detailed symptom with omics data to increase understanding of mechanisms of poorly understood symptoms.
- Swedish Research Council1 January 2022 - 31 December 2025Machine learning is already widely used for a variety of tasks. Initial approaches were strictly centralized, but have recently evolved into the so-called federated learning, primarily to address privacy concerns. In this model, multiple clients can collaboratively train a model under the guidance of a centralized server. The clear advantage here is that the data remains with the clients, and they can still influence the global model in their individual training sessions. One of the first deployed systems is at Google, for character recognition on smart phones, but is too slow when operating at massive scale. We have identified a specific societal instance (fatal Tesla Model X crash) in which fast, distributed and federated learning could have prevented a loss of life. Moreover, 21st-century pandemics present dramatic societal problems and require new scalable federated learning techniques. This project aims to develop a highly scalable, flexible, extensible, distributed federated machine learning (Scalable Federated Learning, for short) approach that can directly benefit public health and wellness. Special attention will be paid to the so-called outliers (high-entropy samples). We have two main objectives, and our work is structured around them: 1) Creation of a feasible and flexible scalable model for the life sciences and 2) Development of the scalable, flexible, federated machine learning framework.
- Facilitating Early Diagnosis of Lung Cancer: Transdisciplinary Efforts Combining Data from Patient-Reports, Biomarkers and ImagingSjöbergstiftelsen1 January 2022 - 31 December 2024
- Swedish Research Council1 January 2019 - 31 December 2021
- Swedish Research Council for Health Working Life and Welfare1 January 2019 - 31 December 2021
- Swedish Research Council1 January 2017 - 31 December 2019