K Naik, RK Goyal, L Foschini, CW Chak… - Clinical …, 2024 - Wiley Online Library
Technological innovations, such as artificial intelligence (AI) and machine learning (ML), have the potential to expedite the goal of precision medicine, especially when combined …
AM Bode, Z Dong - NPJ precision oncology, 2017 - nature.com
You're living the good life—eating right, exercising, maintaining a healthy weight—doing all the recommended things to maintain a healthy and productive lifestyle. Then, Bam! Your …
Abstract Purpose of Review This article discusses the advances, methods, challenges, and future directions of data-driven methods in advancing precision oncology for biomedical …
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 …
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision …
Cancer was until recently considered a homogenous disease with clearly defined boundaries based on the organ involved and the TNM stage of a tumour. Current challenges …
AA Seyhan - Drug Target Selection and Validation, 2022 - Springer
Precision or personalized medicine is a strategy that allows the selection of specific treatments based on the patient's genetic or genomic changes that may occur in an …
Here, we discuss the positive impact of artificial intelligence (AI) in oncology as an enabler– for physicians, patients, and researchers. AI is here to stay and needs to be better …
M Nagy, N Radakovich, A Nazha - JCO Clinical Cancer Informatics, 2020 - ascopubs.org
The volume and complexity of scientific and clinical data in oncology have grown markedly over recent years, including but not limited to the realms of electronic health data …