In today's data-rich business world, companies have more insights than at any time in history. But these torrents of data are ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

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 ...

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.

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 ...

As AI adoption rises, the value of structured, clean data is becoming the critical bottleneck. Parseur helps small and midsize companies extract structured data from emails, PDFs and documents, and is ...

MRI reports and biopsy pathology reports were extracted from a cohort of 1,360,866 patients with PCa in the VA Cancer Registry System or the VA Corporate Data Warehouse, with 155,570 patients having ...

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 ...

Have you ever found yourself drowning in a sea of documents, manually sifting through resumes, invoices, or shipping labels, only to end up exhausted and frustrated by the inefficiency of it all?