Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...

Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...

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 ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

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 ...

Data extraction, a.k.a web scraping, is the process of automatically extracting data from websites. It's an important part of modern digital transformation initiatives requiring the ability to access ...

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 ...

Imagine a world where the monotonous task of pulling information from PDFs and plugging it into spreadsheets is a thing of the past. With Zapier’s automation tools, this can be your reality. These ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...