Akshai Parakkal Sreenivasan

The MassBank contributions of the mFam collaboration

Ahlendorf, Anusha; Aharoni, Asaph; Vahabi, Khabat; Fischer, Tillmann G. et al.

Ingår i Metabolomics, 2026

• DOI för The MassBank contributions of the mFam collaboration
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Data-driven insights into the biological functions of chemicals and the progression of multiple sclerosis: A machine learning approach

Parakkal Sreenivasan, Akshai

2026

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Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis

Vaivade, Aina; Parakkal Sreenivasan, Akshai; Erngren, Ida; Freyhult, Eva et al.

Ingår i Environment International, 2026

• DOI för Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis
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Targeted CSF metabolomics and conformal prediction improve diagnostic accuracy of normal pressure hydrocephalus

Hofling, Ulrika; Jakobsson, Jenny; Erngren, Ida; Ekman, Oskar et al.

Ingår i Fluids and Barriers of the CNS, 2026

• DOI för Targeted CSF metabolomics and conformal prediction improve diagnostic accuracy of normal pressure hydrocephalus
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Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

Sreenivasan, Akshai Parakkal; Vaivade, Aina; Noui, Yassine; Emami Khoonsari, Payam et al.

Ingår i npj Digital Medicine, 2025

• DOI för Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
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The MassBank contributions of the mFam collaboration

Ahlendorf, Anusha; Aharoni, Asaph; Vahabi, Khabat; Fischer, Tillmann G. et al.

Ingår i Metabolomics, 2026

• DOI för The MassBank contributions of the mFam collaboration
• Ladda ner fulltext (pdf) av The MassBank contributions of the mFam collaboration

Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis

Vaivade, Aina; Parakkal Sreenivasan, Akshai; Erngren, Ida; Freyhult, Eva et al.

Ingår i Environment International, 2026

• DOI för Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis
• Ladda ner fulltext (pdf) av Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis

Targeted CSF metabolomics and conformal prediction improve diagnostic accuracy of normal pressure hydrocephalus

Hofling, Ulrika; Jakobsson, Jenny; Erngren, Ida; Ekman, Oskar et al.

Ingår i Fluids and Barriers of the CNS, 2026

• DOI för Targeted CSF metabolomics and conformal prediction improve diagnostic accuracy of normal pressure hydrocephalus
• Ladda ner fulltext (pdf) av Targeted CSF metabolomics and conformal prediction improve diagnostic accuracy of normal pressure hydrocephalus

Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

Sreenivasan, Akshai Parakkal; Vaivade, Aina; Noui, Yassine; Emami Khoonsari, Payam et al.

Ingår i npj Digital Medicine, 2025

• DOI för Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
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Combining molecular and cell painting image data for mechanism of action prediction

Tian, Guangyan; Harrison, Philip J.; Sreenivasan, Akshai P.; Carreras-Puigvert, Jordi et al.

Ingår i Artificial intelligence in the life sciences, 2023

• DOI för Combining molecular and cell painting image data for mechanism of action prediction
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Combining molecular and cell painting image data for mechanism of action prediction

Tian, Guangyan; Harrison, Philip J.; Sreenivasan, Akshai P.; Carreras-Puigvert, Jordi et al.

Ingår i Artificial Intelligence in the Life Sciences, 2023

• DOI för Combining molecular and cell painting image data for mechanism of action prediction
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Combining the targeted and untargeted screening of environmental contaminants reveals associations between PFAS exposure and vitamin D metabolism in human plasma.

Carlsson, Henrik; Sreenivasan, Akshai P.; Erngren, Ida; Larsson, Anders et al.

Ingår i Environmental Science, s. 1116-1130, 2023

• DOI för Combining the targeted and untargeted screening of environmental contaminants reveals associations between PFAS exposure and vitamin D metabolism in human plasma.
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Predicting protein network topology clusters from chemical structure using deep learning

Sreenivasan, Akshai P.; Harrison, Philip J; Schaal, Wesley; Matuszewski, Damian J. et al.

Ingår i Journal of Cheminformatics, 2022

• DOI för Predicting protein network topology clusters from chemical structure using deep learning
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Data-driven insights into the biological functions of chemicals and the progression of multiple sclerosis: A machine learning approach

Parakkal Sreenivasan, Akshai

2026

• Ladda ner fulltext (pdf) av Data-driven insights into the biological functions of chemicals and the progression of multiple sclerosis: A machine learning approach

Identifying transition to secondary progressive multiple sclerosis across international registries using uncertainty-aware machine learning

Parakkal Sreenivasan, Akshai; Noui, Yassine; Erngren, Ida; Spjuth, Ola et al.

Prospective validation of a machine learning model for early identification of secondary progressive multiple sclerosis

Parakkal Sreenivasan, Akshai; Noui, Yassine; Erngren, Ida; Spjuth, Ola et al.