Objectives Federated learning (FL) allows multiple institutions to collaboratively develop a
machine learning algorithm without sharing their data. Organizations instead share model …

Abstract Objectives The HL7® fast healthcare interoperability resources (FHIR®)
specification has emerged as the leading interoperability standard for the exchange of …

The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …

TG is a shareholder of Westlake Omics Inc. TI is a cofounder of Data4Cure, is on the
Scientific Advisory Board and has an equity interest. TI is on the Scientific Advisory Board of …

Importance Cancer registries are important real-world data sources consisting of data
abstraction from the medical record; however, patients with unknown or missing data are …

The analysis of big healthcare data has enormous potential as a tool for advancing oncology
drug development and patient treatment, particularly in the context of precision medicine …

PURPOSE The advancement of natural language processing (NLP) has promoted the use
of detailed textual data in electronic health records (EHRs) to support cancer research and …

Our study probed the differences in ion channel gene expression in the endometrium of
women with Recurrent Implantation Failure (RIF) compared to fertile women. We analyzed …

Digital health advances have transformed many clinical areas including psychiatric and
cardiovascular care. However, digital health innovation is relatively nascent in cancer care …

Challenges of health systems in Latin America and the Caribbean include accessibility,
inequity, segmentation, and poverty. These challenges are similar in different countries of …