Therapy Selection Algorithms

Therapy Selection Algorithms is a computational decision-support framework that integrates molecular diagnostic data with clinical evidence to recommend optimal therapeutic interventions in personalized cancer care, distinguishing it from general clinical guidelines by its reliance on biomarker-driven, patient-specific data for targeted treatment assignment.

189

Publications

8.6K

Citations

1.5K

Authors

614

Institutions

Publications per year

2017–2026

105

Authors

1.5K

  1. JM
    Jun Ma

    Sun Yat-sen University, China

    5 publications · 194 citations

    5

    h-index

  2. YS
    Ying Sun

    Sun Yat-sen University, China

    4 publications · 161 citations

    4

    h-index

  3. LC
    Lei Chen

    Sun Yat-sen University, China

    3 publications · 100 citations

    3

    h-index

  4. LT
    Ling‐Long Tang

    Sun Yat-sen University, China

    3 publications · 100 citations

    3

    h-index

  5. AG
    Andrew Garazha

    Institute of Bioorganic Chemistry, Russia

    3 publications · 577 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. PubMed

    Repository · 14 publications · 631 citations

    11

    h-index

  2. JCO Clinical Cancer Informatics

    6 publications · 123 citations

    6

    h-index

  3. Biometrics

    6 publications · 289 citations

    6

    h-index

  4. PLoS ONE

    5 publications · 219 citations

    5

    h-index

  5. Radiotherapy and Oncology

    5 publications · 210 citations

    5

    h-index

1–5