Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials ...

A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records.

Validation of an Updated Algorithm to Identify Patients With Incident Non–Small Cell Lung Cancer in Administrative Claims Databases Although the potential transformative effect of electronic health ...

While most people have heard of web scraping, far fewer likely realize just how widespread the practice actually is. As technology has grown incrementally, professionals from various industries have ...

Information is the new oil, and fast data extraction sets leaders apart. As web data grows rapidly, practical tools are needed to extract this information. Traditional web scraping methods often ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Betsy began her career in international finance and it has since ...

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files. These digital documents serve as ...

Have you ever stared at a massive spreadsheet, overwhelmed by the chaos of mixed data—names, IDs, codes—all crammed into single cells? It’s a common frustration for anyone managing large datasets in ...

Recently, AI researcher Simon Willison wanted to add up his charges from using a cloud service, but the payment values and dates he needed were scattered among a dozen separate emails. Inputting them ...

To get data on the injuries, Cedars-Sinai is using AI to extract data from chart notes. At HIMSS25, Kathy Bailey, principal data intelligence analyst for Cedars-Sinai, will explain what she and her ...