AI-DMRS: PRECLINICAL PREDICTION OF CHRONIC DISEASE CLUSTERS THROUGH THE INTEGRATION OF COPPER–ZINC HOMEOSTASIS, INFLAMMATION, AND HOMOCYSTEINE METABOLISM USING ARTIFICIAL INTELLIGENCE
- DOI
- 10.5281/zenodo.23472486
- Published
- 2026
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- Zenodo
- Open access
- yes
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BibTeX
@article{allodium:10.5281/zenodo.23472486,
title = {AI-DMRS: PRECLINICAL PREDICTION OF CHRONIC DISEASE CLUSTERS THROUGH THE INTEGRATION OF COPPER–ZINC HOMEOSTASIS, INFLAMMATION, AND HOMOCYSTEINE METABOLISM USING ARTIFICIAL INTELLIGENCE},
author = {DOĞAN, T.AYDIN},
year = {2026},
doi = {10.5281/zenodo.23472486},
url = {https://doi.org/10.5281/zenodo.23472486}
}RIS
TY - JOUR TI - AI-DMRS: PRECLINICAL PREDICTION OF CHRONIC DISEASE CLUSTERS THROUGH THE INTEGRATION OF COPPER–ZINC HOMEOSTASIS, INFLAMMATION, AND HOMOCYSTEINE METABOLISM USING ARTIFICIAL INTELLIGENCE AU - DOĞAN, T.AYDIN PY - 2026 DO - 10.5281/zenodo.23472486 UR - https://doi.org/10.5281/zenodo.23472486 ER -
APA
T.AYDIN, D. (2026). AI-DMRS: PRECLINICAL PREDICTION OF CHRONIC DISEASE CLUSTERS THROUGH THE INTEGRATION OF COPPER–ZINC HOMEOSTASIS, INFLAMMATION, AND HOMOCYSTEINE METABOLISM USING ARTIFICIAL INTELLIGENCE. https://doi.org/10.5281/zenodo.23472486