Magnus Boman

Om mig
Publikationer
Forskningsbidrag
Populärvetenskap och samverkan

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;40:100816
Study protocol for a triple-blind randomised controlled trial evaluating a machine learning-based predictive clinical decision support tool for internet-delivered cognitive behaviour therapy (ICBT) for depression and anxiety
Bjurner P; Isacsson NH; Ben Abdesslem F; Boman M; Forsell E; Kaldo V
Article: JOURNAL OF INTERNAL MEDICINE. 2025;297(6):693-701
Common genetic variants do not impact clinical prediction of methotrexate treatment outcomes in early rheumatoid arthritis
Sysojev 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:e65790
Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol fora Predictive Modeling Study
Foyen LF; Sennerstam V; Kontio E; Flygare O; Boman M; Lindsater E
Article: INTERNET INTERVENTIONS-THE APPLICATION OF INFORMATION TECHNOLOGY IN MENTAL AND BEHAVIOURAL HEALTH. 2024;38:100773
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Isacsson NH; Zantvoort K; Forsell E; Boman M; Kaldo V
Article: COMMUNICATIONS MEDICINE. 2024;4(1):196
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy
Isacsson NH; Ben Abdesslem F; Forsell E; Boman M; Kaldo V
Article: HEALTH INFORMATICS JOURNAL. 2024;30(4):14604582241290725
Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis
Brahimllari 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):8036
Refining outcome prediction after traumatic brain injury with machine learning algorithms
Bark D; Boman M; Depreitere B; Wright DW; Lewen A; Enblad P; Hanell A; Rostami E
Article: PEERJ. 2024;12:e17841
Predicting maintenance lithium response for bipolar disorder from electronic health records-a retrospective study
Hayes JF; Ben Abdesslem F; Eloranta S; Osborn DPJ; Boman M
Article: FRONTIERS IN PUBLIC HEALTH. 2024;12:1369041
Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico
Sepulveda RS; Boman M
Journal article: DIGITAL SOCIETY. 2023;2(3):46
Human-Curated Validation of Machine Learning Algorithms for Health Data
Boman M
Article: BMJ OPEN. 2023;13(10):e069427
Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)
Boberg 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;3:101963
Evaluation and external validation of machine learning models predicting full spectrum GOSE outcome following traumatic brain injury
Bark 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):4779-4793
Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)
Behravesh R; Rao A; Perez-Ramirez DF; Harutyunyan D; Riggio R; Boman M
Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):488
A genetically informed prediction model for suicidal and aggressive behaviour in teens
Tate 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
Journal article: EUROPEAN NEUROPSYCHOPHARMACOLOGY. 2022;63:e138-e139
MULTI-PSYCH - A MULTIMODAL DATA PROJECT FOR DEPRESSION AND ANXIETY DISORDERS IN SWEDISH ROUTINE CLINICAL CARE
Wallert 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: BMJ OPEN. 2022;12(9):e060679
Stockholm score of lesion detection on computed tomography following mild traumatic brain injury (SELECT-TBI): study protocol for a multicentre, retrospective, observational cohort study
Fletcher-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: TRANSLATIONAL PSYCHIATRY. 2022;12(1):357
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
Wallert 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: FRONTIERS IN ONCOLOGY. 2022;12:984021
Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach
Ruiz NR; Abd Own S; Smedby KE; Eloranta S; Koch S; Wasterlid T; Krstic A; Boman M
Article: BMC MEDICINE. 2021;19(1):99
Prediction of individuals at high risk of chronic kidney disease during treatment with lithium for bipolar disorder
Hayes JF; Osborn DPJ; Francis E; Ambler G; Tomlinson LA; Boman M; Wong ICK; Geddes JR; Dalman C; Lewis G
Article: PEERJ COMPUTER SCIENCE. 2021;7:e804
Comparing supervised and unsupervised approaches to multimodal emotion recognition
Carbonell MF; Boman M; Laukka P
Article: JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY. 2020;88(4):311-321
Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures
Forsell E; Isacsson N; Blom K; Jernelov S; Ben Abdesslem F; Lindefors N; Boman M; Kaldo V
Article: FRONTIERS IN PSYCHOLOGY. 2020;11:567310
Toward Learning Machines at a Mother and Baby Unit
Boman M; Downs J; Karali A; Pawlby S
Article: IEEE ACCESS. 2020;8:120388-120416
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking
Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
Journal article: PROGRESS IN ARTIFICIAL INTELLIGENCE. 2019;8(4):475-485
Learning machines in Internet-delivered psychological treatment
Boman M; Ben Abdesslem F; Forsell E; Gillblad D; Gornerup O; Isacsson N; Sahlgren M; Kaldo V
Article: PHYSICAL REVIEW E. 2018;98(5):052101
Modeling reservoir computing with the discrete nonlinear Schrodinger equation
Borlenghi S; Boman M; Delin A
Article: GLOBAL HEALTH ACTION. 2017;10(sup3):1321904
Supporting global health goals with information and communications technology
Boman M; Kruse E
Article: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. 2015;101:147-164
Networked foresight-The case of EIT ICT Labs
Heger T; Boman M
Journal article: KI - KUNSTLICHE INTELLIGENZ. 2015;29(2):143-152
Sensemaking in Intelligent Health Data Analytics
Boman M; Sanches P
Journal article: NETWORK AND COMMUNICATION TECHNOLOGIES. 2013;2(1)
Knowing Your Population: Privacy-Sensitive Mining of Massive Data
Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
Article: JOURNAL OF COMPUTATIONAL SCIENCE. 2011;2(3):216-222
A workflow for software development within computational epidemiology
Cakici B; Boman M
Article: EUROSURVEILLANCE. 2010;15(35):19651-24
Micro-simulation of a smallpox outbreak using official register data
Brouwers L; Boman M; Camitz M; Makila K; Tegnell A
Article: EUROSURVEILLANCE. 2009;14(37):19333-11
ECONOMIC CONSEQUENCES TO SOCIETY OF PANDEMIC H1N1 INFLUENZA 2009-PRELIMINARY RESULTS FOR SWEDEN
Brouwers L; Cakici B; Camitz M; Tegnell A; Boman M
Article: DECISION SUPPORT SYSTEMS. 2006;42(1):318-327
Implementing an agent trade server
Boman M; Sandin A
Article: INFORMATION SCIENCES. 2005;171(4):293-307
Distributed monitoring and control of office buildings by embedded agents
Davidsson P; Boman M
Journal article: ACM TRANSACTIONS ON INTERNET TECHNOLOGY. 2004;4(3):329-339
Agent trade servers in financial exchange systems
Lybäck D; Boman M
Journal article: INFO. 2004;6(3):169-171
Seamless mobility:more than it seems
Thorngren B; Andersson P; Bohlin E; Boman M
Article: PERSONAL AND UBIQUITOUS COMPUTING. 2004;8(1):42-46
Mobile access to real-time information-the case of autonomous stock brokering
Nylander S; Bylund M; Boman M
Article: FLUCTUATION AND NOISE LETTERS. 2002;2(4):L343-L348
Analytical expressions for Parrondo games
Rasmusson L; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):149-158
Agent-Based Social Simulation in Markets
Bertels K; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):159-168
Artificial Agent Action in Markets
Boman M; Brouwers L; Hansson K; Jansson C-G; Kummeneje J; Verhagen H
Journal article: JOURNAL OF RISK RESEARCH. 2001;4(1):31-47
General risk constraints
Ekenberg L; Boman M; Linnerooth-Bayer J
Journal article: ARTIFICIAL INTELLIGENCE AND LAW. 1999;7(1):17-35
Norms in artificial decision making
Boman M
Article: DECISION SUPPORT SYSTEMS. 1997;20(1):3-15
Imposing security constraints on agent-based decision support
Ekenberg L; Danielson M; Boman M
Article: INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. 1996;5(2-3):315-331
From local assessments to global rationality
Ekenberg L; Danielson M; Boman M
Journal article: APPLIED ARTIFICIAL INTELLIGENCE. 1994;8(4):543-563
FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING
KJELLIN H; BOMAN M
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Alla övriga publikationer

Book chapter: PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE: LECTURE NOTES IN COMPUTER SCIENCE. 2025;p. 18-32
FMM-Head: Enhancing Autoencoder-Based ECG Anomaly Detection with Prior Knowledge
Verardo G; Boman M; Bruchfeld S; Chiesa M; Koch S; Maguire GQ; Kostic D
Conference publication: GEBURTSHILFE UND FRAUENHEILKUNDE. 2024;84(10):e223
Predicting caesarean delivery in nulliparous women with a prolonged, low-risk pregnancy – machine-learning approaches using Swedish population-based Health Registers
Schmauder S; Sandström A; Boman M; Martin C; Stephansson O
Preprint: JMIR PREPRINTS. 2024
Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study (Preprint)
Franke Föyen L; Sennerstam V; Kontio E; Flygare O; Boman M; Lindsäter E
Preprint: ARXIV. 2024
Robust Generalization of Graph Neural Networks for Carrier Scheduling
Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Kostic D; Boman M; Voigt T
Preprint: RESEARCH SQUARE. 2024
Study protocol for a triple-blind randomised controlled trial evaluating a machine learning-based predictive clinical decision support tool for internet-delivered cognitive behaviour therapy (ICBT) for depression and anxiety
Bjurner P; Isacsson NH; Abdesslem FB; Boman M; Forsell E; Kaldo V
Conference publication: ANNALS OF THE RHEUMATIC DISEASES. 2024;83:810
IMPACT OF GENETICS ON PREDICTING PERSISTENCE TO TREATMENT WITH METHOTREXATE IN EARLY RHEUMATOID ARTHRITIS
Sysojev 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. 71-84
Continual Learning Under Language Shift
Gogoulou E; Lesort T; Boman M; Nivre J
Preprint: ARXIV. 2023
Continual Learning Under Language Shift
Gogoulou E; Lesort T; Boman M; Nivre J
Preprint: ARXIV. 2023
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge
Verardo G; Boman M; Bruchfeld S; Chiesa M; Koch S; Maguire GQ; Kostic D
Conference publication: 2023;:163-176
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostić D; Boman M
Preprint: RESEARCH SQUARE. 2023
Machine learning predictions of outcome in Internet-based cognitive behavioral therapy: methodological choices and clinical usefulness
Isacsson NH; Abdesslem FB; Forsell E; Boman M; Kaldo V
Conference publication: 2022;00:338-344
A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning
Corcoran D; Kreuger P; Boman M
Review: JOURNAL OF INTERNAL MEDICINE. 2022;292(2):278-295
Predictive models for clinical decision making: Deep dives in practical machine learning
Eloranta S; Boman M
Preprint: PSYARXIV. 2022
A Genetically Informed Prediction Model for Suicidal and Aggressive Behaviour in Teens
Tate 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. 2021
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostic D; Boman M
Conference publication: 2021;00:216-224
Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning
Corcoran D; Kreuger P; Boman M
Preprint: MEDRXIV. 2021
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
Wallert 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
Meeting abstract: EUROPEAN PSYCHIATRY. 2021;64:S20
AI-driven adaptive treatment strategies in internet-delivered CBT
Kaldo V; Isacsson N; Forsell E; Bjurner P; Ben Abdesslem F; Boman M
Preprint: MEDRXIV. 2021
Prediction of individuals at high-risk of chronic kidney disease during treatment with lithium for bipolar disorder
Hayes 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;:575-580
Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural Therapy
Gogoulou E; Boman M; Ben Abdesslem F; Isacsson N; Kaldo V; Sahlgren M
Preprint: IEEE ACCESS. 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
Book chapter: FINANCIAL CRYPTOGRAPHY AND DATA SECURITY: LECTURE NOTES IN COMPUTER SCIENCE. 2019;p. 279-293
The Scalability of Trustless Trust
Harz D; Boman M
Book chapter: FUTURES THINKING AND ORGANIZATIONAL POLICY. 2019;p. 179-199
Circles of Impression: External Foresight in Global Enterprises
Boman M; Heger T
Preprint: ARXIV. 2018
Modelling Reservoir Computing with the Discrete Nonlinear Schrödinger Equation
Borlenghi S; Boman M; Delin A
Preprint: ARXIV. 2018
The Scalability of Trustless Trust
Harz D; Boman M
Preprint: ARXIV. 2014
Knowing Your Population: Privacy-Sensitive Mining of Massive Data
Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
Conference publication: 2014;:1-5
Learning Machines for Computational Epidemiology
Boman M; Gillblad D
Book chapter: SOCIAL COLLECTIVE INTELLIGENCE: COMPUTATIONAL SOCIAL SCIENCES. 2014;p. 203-225
Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology
Boman M
Preprint: ARXIV. 2013
Artificial Decision Making Under Uncertainty in Intelligent Buildings
Boman M; Davidsson P; Younes HL
Preprint: SSRN ELECTRONIC JOURNAL. 2013
Value Creation from Networked Foresighting in the EIT ICT Labs
Heger T; Boman M
Conference publication: 2012;:31-35
Syndromic surveillance in the United Arab Emirates
Boman M; Al Hosani F; Cakici B; Guttmann C; Al Mannaei A
Preprint: ARXIV. 2009
A baseline for content-based blog classification
Gornerup O; Boman M
Editorial comment: BMJ-BRITISH MEDICAL JOURNAL. 2008;337:a2500
Commentary: the joy of mesh
Boman M
Preprint: 2007
Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games
Boman M; Johansson SJ
Book chapter: MICRO MESO MACRO. 2005;p. 305-316
Risk and Crises Management in Complex Systems
Bertels K; Jacques J-M; Boman M
Published conference paper: ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. 2004;42(1-3):141-166
Algebras for agent norm-regulation
Odelstad J; Boman M
Book chapter: SYSTEMS APPROACHES AND THEIR APPLICATION. 2004;p. 95-118
Multi-Agent Systems, Time Geography, and Microsimulations
Boman M; Holm E
Preprint: ARXIV. 2003
Algebras for Agent Norm-Regulation
Odelstad J; Boman M
Preprint: ARXIV. 2003
Implementing an Agent Trade Server
Boman M; Sandin A
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2003;2684:243-261
Anticipatory guidance of plot
Laaksolahti J; Boman M
Preprint: ARXIV. 2002
Analytical Expressions for Parrondo Games
Rasmusson L; Boman M
Preprint: ARXIV. 2002
Anticipatory Guidance of Plot
Laaksolahti J; Boman M
Preprint: ARXIV. 2002
Trading Agents for Roaming Users
Boman M; Bylund M; Espinoza F; Danielson M; Lyback D
Preprint: ARXIV. 2002
Parrondo Strategies for Artificial Traders
Boman M; Johansson S; Lyback D
Preprint: ARXIV. 2002
Agent trade servers in financial exchange systems
Lyback D; Boman M
Conference publication: 2001;:150-159
PARRONDO STRATEGIES FOR ARTIFICIAL TRADERS
BOMAN M; JOHANSSON SJ; LYBÄCK D
Book chapter: ROBOCUP 2000: ROBOT SOCCER WORLD CUP IV: LECTURE NOTES IN COMPUTER SCIENCE. 2001;p. 643-646
Team Sweden
Saffiotti A; Boman M; Buschka P; Davidsson P; Johansson S; Wasik Z
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1882:166-177
Saving energy and providing value added services in intelligent buildings: A MAS approach
Davidsson P; Boman M
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:642-645
UBU team
Kummeneje J; Lybäck D; Younes H; Boman M
Conference publication: 2000;:377-378
A multi-agent system for controlling intelligent buildings
Davidsson P; Boman M
Conference publication: PROCEEDINGS - INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA. 2000;:565-569
Risk constraints in agent conflicts
Boman M; Ekenberg L
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:784-787
Team Sweden
Boman M; LeBlanc K; Guttmann C; Saffiotti A
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 1999;1604:352-357
UBU:: Utility-based uncertainty handling in synthetic soccer
Boman 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;1585:285-292
Modeling strategies as generous and greedy in prisoner's dilemma like games
Johansson S; Carlsson B; Boman M
Editorial comment: ROBOTICS AND AUTONOMOUS SYSTEMS. 1998;24(3-4):89-91
Towards artificial decision making
Boman M
Published conference paper: LECTURE NOTES IN COMPUTER SCIENCE. 1997;1237:36-44
Norms as constraints on real-time autonomous agent action
Boman M
Published conference paper: MULTI-AGENT RATIONALITY. 1997;1237:156-176
Making a case for multi-agent systems
Ygge F; Akkermans H
Book chapter: DISTRIBUTED SOFTWARE AGENTS AND APPLICATIONS: LECTURE NOTES IN COMPUTER SCIENCE. 1996;p. 54-62
A tool for handling uncertain information in multi-agent systems
Ekenberg L; Danielson M; Boman M
Book chapter: CKBS ’90. 1991;p. 255-270
Epistemic Logic as a Framework for Federated Information Systems
Boman M; Johannesson P
Scholarly edition:
A constraint programming agent for automated trading
Aurell E; Boman M; Carlsson M; Eriksson J; Finne N; Janson S; Kreuger P; Rasmusson L
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Forskningsbidrag

Improving breast cancer histology image classification by incorporating Spatial Transcriptomics and clinical data into the model
Swedish Research Council
1 January 2024 - 31 December 2026
Facilitating Early Diagnosis of Lung Cancer: Transdisciplinary Efforts Combining Data from Patient-Reports, Biomarkers and Imaging
Swedish Research Council
1 January 2023 - 31 December 2025
Scalable Federated Learning
Swedish Research Council
1 January 2022 - 31 December 2025
Facilitating Early Diagnosis of Lung Cancer: Transdisciplinary Efforts Combining Data from Patient-Reports, Biomarkers and Imaging
Sjöbergstiftelsen
1 January 2022 - 31 December 2024
AI in sustainable cities of the future
VINNOVA
1 April 2019 - 30 December 2019
Participation in Swedish-Indian AI Symposium
VINNOVA
14 March 2019 - 17 May 2019
PRiMED: Predicting Response to CBT in Mental Disorders using multimodal data and machine learning
Swedish Research Council
1 January 2019 - 31 December 2021
Predicting health outcomes and labor market marginalization after treatment in common mental disorders using Machine Learning
Swedish Research Council for Health Working Life and Welfare
1 January 2019 - 31 December 2021
Using Learning Machines to predict and enhance outcome in Internet-based Cognitive Behavioral Therapy
Swedish Research Council
1 January 2017 - 31 December 2019

Om mig

Artiklar

Alla övriga publikationer

Forskningsbidrag

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