Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
D Sun, C Macedonia, Z Chen… - Journal of Medicinal …, 2024 - ACS Publications
Despite implementing hundreds of strategies, cancer drug development suffers from a 95%
failure rate over 30 years, with only 30% of approved cancer drugs extending patient …
failure rate over 30 years, with only 30% of approved cancer drugs extending patient …
Using Artificial Intelligence to Support Informed Decision-Making on BRAF Mutation Testing
PURPOSE Precision oncology relies on accurate and interpretable reporting of testing and
mutation rates. Focusing on the BRAFV600 mutations in advanced colorectal carcinoma …
mutation rates. Focusing on the BRAFV600 mutations in advanced colorectal carcinoma …
Decentralized Clinical Trials at Home: Commentary on Caregivers' Burden
O Bolajoko, D Fullwood, M Colissa… - Cancer …, 2024 - journals.sagepub.com
Decentralized clinical trials (DCTs) provide the opportunity to bring interventional studies
closer to participants in their homes or a suitable location closer to prospective participants …
closer to participants in their homes or a suitable location closer to prospective participants …
Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint
AR Gagliardi, G Tomaselli - Journal of Health Organization and …, 2025 - emerald.com
Purpose This study explores how corporate social responsibility (CSR) and artificial
intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 …
intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 …
Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence
HJ Abukhadijah, AJ Nashwan - Global Journal on …, 2024 - meridian.allenpress.com
This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital
quality improvement to transform quality and patient safety. It examines the application of AI …
quality improvement to transform quality and patient safety. It examines the application of AI …
Bridging the Gap: Theory of Change-Guided Digital Health Implementation in Indonesian Primary Care
R Komalasari - Analyzing Current Digital Healthcare Trends Using …, 2024 - igi-global.com
This chapter explores the potential for digital health deployment to improve primary care in
Indonesia using the theory of change (ToC) framework. By aligning digital health …
Indonesia using the theory of change (ToC) framework. By aligning digital health …
Intégration et utilisation secondaire des données de santé hospitalières hétérogènes: des usages locaux à l'analyse fédérée
R Griffier - 2024 - theses.hal.science
Les données issues du soin peuvent être utilisées pour des finalités autres que celles pour
lesquelles elles ont été collectées initialement: c'est l'utilisation secondaire des données de …
lesquelles elles ont été collectées initialement: c'est l'utilisation secondaire des données de …