Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Surendra Reddy Kamasani is CTO at IBM, and a leader in AI, cloud, and digital transformation ...

Geochemists and data scientists at BHP, the world’s largest mining company, have assessed over 500,000 chemical reagents with the potential to more effectively extract copper—a mineral critical for ...

Introduction Traditional data extraction strategies, such as human double extraction, are both time consuming and labour-intensive. Artificial intelligence (AI) has emerged as a promising tool for ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

A production-ready Python system for processing large volumes of PDF documents, extracting structured business data, validating extracted fields, and exporting clean datasets to JSON and Excel formats ...

In Celonis SE v. SAP SE, a federal court ruled that Celonis could proceed with its claim alleging SAP monopolized a standalone “data access” aftermarket, potentially paving the way for monopolization ...

Introduction: Utilization of large language models (LLMs) for named entity recognition from free-text medical reports is rapidly expanding. However, concerns about protected health information (PHI) ...

Background: Extraction of data from transthoracic echocardiography (TTE) reports is critical for cardiovascular research, particularly in valvular heart disease. While machine learning (ML) and large ...