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Unlocking multidimensional cancer therapeutics using geometric data science
Personalised approaches to cancer therapeutics primarily involve identification of patient sub-populations most likely to benefit from targeted drugs. Such a stratification has led to plethora of designs of clinical trials that are often too complex due to the need for incorporating biomarkers and t...
Autor principal: | Parashar, Deepak |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202902/ https://www.ncbi.nlm.nih.gov/pubmed/37217528 http://dx.doi.org/10.1038/s41598-023-34853-x |
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