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Fredrik D Johansson

Showing results (1-10 of 10) with videos related to

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Social Science Research|February 9, 2024
The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low- and middle-income countriesAdel Daoud, Fredrik D Johansson
Acta Dermato-Venereologica|April 8, 2026
Predicting Melanoma Impact on the Swedish Healthcare System from the Adult Population Using Machine Learning on Registry DataMartin Gillstedt, Lena Stempfle, John Paoli, et al.
Arthritis Research & Therapy|November 23, 2023
Assessing clusters of comorbidities in rheumatoid arthritis: a machine learning approachDaniel H Solomon, Hongshu Guan, Fredrik D Johansson, et al.
ACR Open Rheumatology|October 27, 2023
Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease-Modifying Antirheumatic Drug: 10-Year Experience From a US-Based RegistryAnton Matsson, Daniel H Solomon, Margaux M Crabtree, et al.
Research Square|March 13, 2023
Patterns in the sequential treatment of rheumatoid arthritis patients starting a b/tsDMARD: 10-year experience from a US-based registryAnton Matsson, Daniel H Solomon, Margaux M Crabtree, et al.
Arthritis Research & Therapy|January 15, 2021
The sequence of disease-modifying anti-rheumatic drugs: pathways to and predictors of tocilizumab monotherapyDaniel H Solomon, Chang Xu, Jamie Collins, et al.
Alzheimer'S Research & Therapy|September 7, 2021
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's diseaseHákon Valur Dansson, Lena Stempfle, Hildur Egilsdóttir, et al.
Fluids and Barriers of the CNS|March 3, 2025
Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkersChristoffer Ivarsson Orrelid, Oscar Rosberg, Sophia Weiner, et al.
ACR Open Rheumatology|February 12, 2020
Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score DevelopmentJamie E Collins, Fredrik D Johansson, Sara Gale, et al.
The Journal of Rheumatology|May 2, 2021
Predicting Response to Tocilizumab Monotherapy in Rheumatoid Arthritis: A Real-world Data Analysis Using Machine LearningFredrik D Johansson, Jamie E Collins, Vincent Yau, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Social Science Research|February 9, 2024
The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low- and middle-income countriesAdel Daoud, Fredrik D Johansson
Acta Dermato-Venereologica|April 8, 2026
Predicting Melanoma Impact on the Swedish Healthcare System from the Adult Population Using Machine Learning on Registry DataMartin Gillstedt, Lena Stempfle, John Paoli, et al.
Arthritis Research & Therapy|November 23, 2023
Assessing clusters of comorbidities in rheumatoid arthritis: a machine learning approachDaniel H Solomon, Hongshu Guan, Fredrik D Johansson, et al.
ACR Open Rheumatology|October 27, 2023
Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease-Modifying Antirheumatic Drug: 10-Year Experience From a US-Based RegistryAnton Matsson, Daniel H Solomon, Margaux M Crabtree, et al.
Research Square|March 13, 2023
Patterns in the sequential treatment of rheumatoid arthritis patients starting a b/tsDMARD: 10-year experience from a US-based registryAnton Matsson, Daniel H Solomon, Margaux M Crabtree, et al.
Arthritis Research & Therapy|January 15, 2021
The sequence of disease-modifying anti-rheumatic drugs: pathways to and predictors of tocilizumab monotherapyDaniel H Solomon, Chang Xu, Jamie Collins, et al.
Alzheimer'S Research & Therapy|September 7, 2021
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's diseaseHákon Valur Dansson, Lena Stempfle, Hildur Egilsdóttir, et al.
Fluids and Barriers of the CNS|March 3, 2025
Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkersChristoffer Ivarsson Orrelid, Oscar Rosberg, Sophia Weiner, et al.
ACR Open Rheumatology|February 12, 2020
Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score DevelopmentJamie E Collins, Fredrik D Johansson, Sara Gale, et al.
The Journal of Rheumatology|May 2, 2021
Predicting Response to Tocilizumab Monotherapy in Rheumatoid Arthritis: A Real-world Data Analysis Using Machine LearningFredrik D Johansson, Jamie E Collins, Vincent Yau, et al.
Pageof 1