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.
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Publications
8.6K
Citations
1.5K
Authors
614
Institutions
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2017–2026
105
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Genital warts: a comprehensive review.
Valerie R. Yanofsky, Rita V. Patel, Gary Goldenberg · PubMed · 2012 · 220 citations
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The University of Texas MD Anderson Cancer Center
Houston, United States
10 h-index
21 publications
1.7K citations

Sun Yat-sen University
Guangzhou, China
8 h-index
70 publications
2.4K citations
Harvard University
Cambridge, United States
8 h-index
17 publications
524 citations
Fred Hutch Cancer Center
Seattle, United States
7 h-index
12 publications
1K citations
Sun Yat-sen University Cancer Center
Guangzhou, China
7 h-index
60 publications
2.1K citations
Stanford University
Stanford, United States
6 h-index
9 publications
200 citations
Massachusetts General Hospital
Boston, United States
5 h-index
17 publications
967 citations
University of Washington
Seattle, United States
5 h-index
8 publications
302 citations
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Repository · 14 publications · 631 citations
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6 publications · 123 citations
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6 publications · 289 citations
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