[HTML][HTML] Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy

L Sivapalan, JC Murray, JVL Canzoniero… - … for immunotherapy of …, 2023 - ncbi.nlm.nih.gov
Circulating cell-free tumor DNA (ctDNA) can serve as a real-time biomarker of tumor burden
and provide unique insights into the evolving molecular landscape of cancers under the …

[HTML][HTML] Big data analytics for genomic medicine

KY He, D Ge, MM He - International journal of molecular sciences, 2017 - mdpi.com
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic
decision-making by utilizing patients' genomic information. Big Data analytics uncovers …

[HTML][HTML] Real-world integration of genomic data into the electronic health record: the PennChart Genomics Initiative

KS Lau-Min, SB Asher, J Chen, SM Domchek… - Genetics in …, 2021 - nature.com
Technologies in genomic medicine have rapidly evolved and transformed the ability to
deliver precision medicine in nearly every field of health care. As genomic medicine has …

Integrating somatic and germline next-generation sequencing into routine clinical oncology practice

JK Hicks, R Howard, P Reisman, JJ Adashek… - JCO precision …, 2021 - ascopubs.org
Next-generation sequencing (NGS) is rapidly expanding into routine oncology practice.
Genetic variations in both the cancer and inherited genomes are informative for hereditary …

[HTML][HTML] Impact of integrating genomic data into the electronic health record on genetics care delivery

KS Lau-Min, D McKenna, SB Asher, T Bardakjian… - Genetics in …, 2022 - Elsevier
Purpose Integrating genomic data into the electronic health record (EHR) is key for optimally
delivering genomic medicine. Methods The PennChart Genomics Initiative (PGI) at the …

[HTML][HTML] Electronic health records and genomics: perspectives from the association for molecular pathology electronic health record (EHR) interoperability for clinical …

AB Carter, LV Abruzzo, JW Hirschhorn, D Jones… - The Journal of Molecular …, 2022 - Elsevier
The use of genomics in medicine is expanding rapidly, but information systems are lagging
in their ability to support genomic workflows both from the laboratory and patient-facing …

Next-generation sequencing and the clinical oncology workflow: data challenges, proposed solutions, and a call to action

JR Conway, JL Warner, WS Rubinstein… - JCO Precision …, 2019 - ascopubs.org
PURPOSE Next-generation sequencing (NGS) of tumor and germline DNA is foundational
for precision oncology, with rapidly expanding diagnostic, prognostic, and therapeutic …

[PDF][PDF] Electronic medical records and machine learning in approaches to drug development

A Shinozaki - Artificial intelligence in Oncology drug discovery and …, 2020 - library.oapen.org
Electronic medical records (EMRs) were primarily introduced as a digital health tool in
hospitals to improve patient care, but over the past decade, research works have …

[HTML][HTML] A review of AI and Data Science support for cancer management

E Parimbelli, S Wilk, R Cornet, P Sniatala… - Artificial Intelligence in …, 2021 - Elsevier
Introduction Thanks to improvement of care, cancer has become a chronic condition. But
due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer …

Distribution of genomic testing resources by oncology practice and rurality: a nationally representative study

B Gardner, M Doose, JI Sanchez… - JCO Precision …, 2021 - ascopubs.org
PURPOSE Oncologists are increasingly using molecular profiling to inform personalized
patient treatment decisions. Despite its promising utility, the integration of genomic testing …