Precision oncology involves identifying drugs that will effectively treat a tumor and then
prescribing an optimal clinical treatment regimen. However, most first-line chemotherapy …

The data-driven identification of disease states and treatment options is a crucial challenge
for precision oncology. Artificial intelligence (AI) offers unique opportunities for enhancing …

The essential job of precision medicine is to match the right drugs to the right patients. In
cancer, precision medicine has been nearly synonymous with genomics. However, sobering …

Precision oncology implies the ability to predict which patients will likely respond to specific
cancer therapies based on increasingly accurate, high‐resolution molecular diagnostics as …

Precision oncology has evolved into focusing on matching the most accurate and effective
treatments based not only on the genetic profile of the patient and his/her cancer, but also on …

High-throughput methods to investigate tumour omic landscapes have quickly catapulted
cancer specialists into the precision oncology era. The singular lesson of precision oncology …

The goal of precision oncology is to tailor treatment for patients individually using the
genomic profile of their tumors. Pharmacogenomics datasets such as cancer cell lines are …

Artificial intelligence and machine learning (ML) promise to transform cancer therapies by
accurately predicting the most appropriate therapies to treat individual patients. Here, we …

Predicting in vivo response to antineoplastics remains an elusive challenge. We performed
a first-of-kind evaluation of two transcriptome-based precision cancer medicine …

Highlights•Actionable alterations should be prioritized by using validated rankings for
treatment tailoring.•High-throughput genomics could refine drivers and find new targets, mini …