A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis

Maral Budak, Pariksheet Nanda, Denise Kirschner

Open source

DOI: 10.3934/naco.2025025
Published: 2026
Container: Numerical Algebra, Control and Optimization
Publisher: American Institute of Mathematical Sciences (AIMS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3934/naco.2025025,
  title = {A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis},
  author = {Maral Budak and Pariksheet Nanda and Denise Kirschner},
  year = {2026},
  journal = {Numerical Algebra, Control and Optimization},
  doi = {10.3934/naco.2025025},
  url = {https://doi.org/10.3934/naco.2025025}
}

RIS

TY  - JOUR
TI  - A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis
AU  - Maral Budak
AU  - Pariksheet Nanda
AU  - Denise Kirschner
PY  - 2026
JO  - Numerical Algebra, Control and Optimization
DO  - 10.3934/naco.2025025
UR  - https://doi.org/10.3934/naco.2025025
ER  -

APA

Budak, M., Nanda, P., & Kirschner, D. (2026). A novel machine-learning based optimization: identifying new treatment regimens for tuberculosis. Numerical Algebra, Control and Optimization. https://doi.org/10.3934/naco.2025025

Source records

crossref · retrieved 2026-09-25T02:16:54.038Z