Akshai Parakkal Sreenivasan
Doktorand vid Institutionen för medicinska vetenskaper; Klinisk kemi
- E-post:
- akshai.parakkal.sreenivasan@medsci.uu.se
- Besöksadress:
- Akademiska sjukhuset, ingång 61, 3 tr
- Postadress:
- Akademiska sjukhuset, ingång 61
751 85 Uppsala
Doktorand vid Institutionen för medicinska vetenskaper; Translationell neurologi
- E-post:
- akshai.parakkal.sreenivasan@medsci.uu.se
- Besöksadress:
- Akademiska Sjukhuset, Ing 85 3 tr
751 85 Uppsala - Postadress:
- Box 593
75124 UPPSALA
Publikationer
Senaste publikationer
Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis
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
Ingår i npj Digital Medicine, 2025
- DOI för Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
- Ladda ner fulltext (pdf) av 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
Ingår i Artificial intelligence in the life sciences, 2023
- DOI för Combining molecular and cell painting image data for mechanism of action prediction
- Ladda ner fulltext (pdf) av Combining molecular and cell painting image data for mechanism of action prediction
Combining molecular and cell painting image data for mechanism of action prediction
Ingår i Artificial Intelligence in the Life Sciences, 2023
- DOI för Combining molecular and cell painting image data for mechanism of action prediction
- Ladda ner fulltext (pdf) av Combining molecular and cell painting image data for mechanism of action prediction
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.
- Ladda ner fulltext (pdf) av Combining the targeted and untargeted screening of environmental contaminants reveals associations between PFAS exposure and vitamin D metabolism in human plasma.
Alla publikationer
Artiklar i tidskrift
Co-exposure to PFAS and hydroxylated PCBs is associated with increased odds of multiple sclerosis
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
Ingår i npj Digital Medicine, 2025
- DOI för Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis
- Ladda ner fulltext (pdf) av 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
Ingår i Artificial intelligence in the life sciences, 2023
- DOI för Combining molecular and cell painting image data for mechanism of action prediction
- Ladda ner fulltext (pdf) av Combining molecular and cell painting image data for mechanism of action prediction
Combining molecular and cell painting image data for mechanism of action prediction
Ingår i Artificial Intelligence in the Life Sciences, 2023
- DOI för Combining molecular and cell painting image data for mechanism of action prediction
- Ladda ner fulltext (pdf) av Combining molecular and cell painting image data for mechanism of action prediction
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.
- Ladda ner fulltext (pdf) av 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
Ingår i Journal of Cheminformatics, 2022
- DOI för Predicting protein network topology clusters from chemical structure using deep learning
- Ladda ner fulltext (pdf) av Predicting protein network topology clusters from chemical structure using deep learning