Akshai Parakkal Sreenivasan

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.

Part of npj Digital Medicine, 2025

• DOI for 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.

Part of Artificial Intelligence in the Life Sciences, p. 100060-100060, 2023

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

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.

Part of ARTIFICIAL INTELLIGENCE IN THE LIFE SCIENCES, 2023

• DOI for 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.

Part of Environmental Science, p. 1116-1130, 2023

• DOI for 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.

Part of Journal of Cheminformatics, 2022

• DOI for Predicting protein network topology clusters from chemical structure using deep learning
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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.

Part of npj Digital Medicine, 2025

• DOI for Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
• Download full text (pdf) of Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

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.

Part of Artificial Intelligence in the Life Sciences, p. 100060-100060, 2023

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

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.

Part of ARTIFICIAL INTELLIGENCE IN THE LIFE SCIENCES, 2023

• DOI for Combining molecular and cell painting image data for mechanism of action prediction
• Download full text (pdf) of Combining molecular and cell painting image data for mechanism of action prediction

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.

Part of Environmental Science, p. 1116-1130, 2023

• DOI for Combining the targeted and untargeted screening of environmental contaminants reveals associations between PFAS exposure and vitamin D metabolism in human plasma.
• Download full text (pdf) of Combining the targeted and untargeted screening of environmental contaminants reveals associations between PFAS exposure and vitamin D metabolism in human plasma.

Predicting protein network topology clusters from chemical structure using deep learning

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

Part of Journal of Cheminformatics, 2022

• DOI for Predicting protein network topology clusters from chemical structure using deep learning
• Download full text (pdf) of Predicting protein network topology clusters from chemical structure using deep learning