Making adjuvant therapy decisions with uncertain data
1. Le DT, Uram JN, Wang H et al. PD-1 blockade in tumors with mismatchrepair deficiency.
N Engl J Med 2015; 372 (26): 2509–2520. 2. Gerlinger M, Rowan AJ, Horswell S et al …
N Engl J Med 2015; 372 (26): 2509–2520. 2. Gerlinger M, Rowan AJ, Horswell S et al …
Variants of uncertain significance in precision oncology: nuance or nuisance?
GS Mellgard, Z Atabek, M LaRose, F Kastrinos… - The …, 2024 - academic.oup.com
Variants of uncertain significance in precision oncology: nuance or nuisance? Page 1 The
Oncologist, 2024, XX, 1–4 https://doi.org/10.1093/oncolo/oyae135 Advance access publication …
Oncologist, 2024, XX, 1–4 https://doi.org/10.1093/oncolo/oyae135 Advance access publication …
Precision oncology—The quest for evidence
TG Soldatos, S Kaduthanam, DB Jackson - Journal of Personalized …, 2019 - mdpi.com
The molecular characterization of patient tumors provides a rational and highly promising
approach for guiding oncologists in treatment decision-making. Notwithstanding, genomic …
approach for guiding oncologists in treatment decision-making. Notwithstanding, genomic …
MD Anderson breaks with IBM Watson, raising questions about artificial intelligence in oncology
C Schmidt - 2017 - academic.oup.com
In 2012, the University of Texas MD Anderson Cancer Center in Houston partnered with IBM
to develop the artificial intelligence program, called IBM Watson, as a clinical decision tool in …
to develop the artificial intelligence program, called IBM Watson, as a clinical decision tool in …
Artificial intelligence for the next generation of precision oncology
PJ Ballester, J Carmona - NPJ Precision Oncology, 2021 - nature.com
The concept of precision oncology involves the prescription of therapies that target the
molecular driver alterations of an individual patient's tumor. This treatment paradigm has …
molecular driver alterations of an individual patient's tumor. This treatment paradigm has …
[PDF][PDF] Trawling for genes that predict response to breast cancer adjuvant therapy
Randomized clinical trials often set the standard of care for the treatment of early-stage
breast cancer. However, the low event rates in these studies often require large sample …
breast cancer. However, the low event rates in these studies often require large sample …
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
ZHE Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …
amount of collectable data obtained from high-throughput sequencing has led to an …
Precision oncology decision support: current approaches and strategies for the future
KC Kurnit, EEI Dumbrava, B Litzenburger… - Clinical Cancer …, 2018 - AACR
With the increasing availability of genomics, routine analysis of advanced cancers is now
feasible. Treatment selection is frequently guided by the molecular characteristics of a …
feasible. Treatment selection is frequently guided by the molecular characteristics of a …
Keeping score with immunotherapy response
D Clyde - Nature Reviews Genetics, 2017 - nature.com
ORIGINAL ARTICLE Charoentong, P. et al. Pan-cancer immunogenomic analyses reveal
genotypeimmunophenotype relationships and predictors of response to checkpoint …
genotypeimmunophenotype relationships and predictors of response to checkpoint …
Stakeholder perspectives on navigating evidentiary and decision uncertainty in precision oncology
(1) Background: Precision oncology has the potential to improve patient health and
wellbeing through targeted prevention and treatment. Owing to uncertain clinical and …
wellbeing through targeted prevention and treatment. Owing to uncertain clinical and …