Computational Science for Health and Environment
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- 2024
-
Mark
Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
Ortega-Martorell, Sandra LU ; Olier, Ivan ; Ohlsson, Mattias LU
and Lip, Gregory Y.H.
(2024)
In Trends in Cardiovascular Medicine
- Contribution to journal › Scientific review
-
Mark
A suggestion for a test if a calibrated quantitative adverse outcome pathway is chemical agnostic based on between chemical heterogeneity : 38th International Workshop on Statistical Modelling
Sahlin, Ullrika LU
and Zhou, Zheng
LU
(2024)
38th International Workshop on Statistical Modelling
p.281-284
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
de Capretz, Pontus Olsson LU ; Björkelund, Anders LU ; Björk, Jonas LU
; Ohlsson, Mattias
LU
; Mokhtari, Arash
LU
; Nyström, Axel
LU
and Ekelund, Ulf
LU
(2023)
In BMC Medical Informatics and Decision Making
23(1).
- Contribution to journal › Article
-
Mark
Transcriptional Responses as Biomarkers of General Toxicity : A Systematic Review and Meta-Analysis on Metal-Exposed Bivalves
Ekelund Ugge, Gustaf M O LU
; Sahlin, Ullrika
LU
; Jonsson, Annie
and Berglund, Olof
LU
(2023)
In Environmental Toxicology and Chemistry
42(3).
p.628-641
- Contribution to journal › Article
-
Mark
Factors important for health-related quality of life in men and women: The population based SCAPIS study
Olsson, Max LU
; Björkelund, Anders J.
LU
; Sandberg, Jacob
LU
; Blomberg, Anders
; Börjesson, Mats
; Currow, David
; Malinovschi, Andrei
; Sköld, Magnus
; Wollmer, Per
LU
and Torén, Kjell
, et al.
(2023)
In PLoS ONE
18(11).
- Contribution to journal › Article
- 2022
-
Mark
A suggestion for the quantification of precise and bounded probability to quantify epistemic uncertainty in scientific assessments
Raices Cruz, Ivette LU ; Troffaes, Matthias C.M. and Sahlin, Ullrika LU
(2022)
In Risk Analysis
42(2).
p.239-253
- Contribution to journal › Article
-
Mark
Limitations of field-theory simulation for exploring phase separation: The role of repulsion in a lattice protein model
Nilsson, Daniel LU ; Bozorg, Behruz LU ; Mohanty, Sandipan ; Söderberg, Bo LU and Irbäck, Anders LU
(2022)
In The Journal of chemical physics
156(1).
- Contribution to journal › Article
-
Mark
A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis
Raices Cruz, Ivette LU ; Troffaes, Matthias C.M. ; Lindström, Johan LU
and Sahlin, Ullrika
LU
(2022)
In Statistics in Medicine
41(17).
p.3365-3379
- Contribution to journal › Article
-
Mark
Folding lattice proteins with quantum annealing
Irbäck, Anders LU
; Knuthson, Lucas
LU
; Mohanty, Sandipan
LU
and Peterson, Carsten
LU
(2022)
In Physical Review Research
4(4).
- Contribution to journal › Article
-
Mark
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Raices Cruz, Ivette LU ; Lindström, Johan LU
; Troffaes, Matthias C.M.
and Sahlin, Ullrika
LU
(2022)
In Computational Statistics and Data Analysis
176.
- Contribution to journal › Article