We are happy to announce the first release of 2023 is already here! Finance NLP is a John Snow Lab's product, launched 2022 to provide state-of-the-art, autoscalable, domain-specific NLP on top of Spark. We have updated and improved our more than 20 Financial NLP notebooks, available here. Our Certification training is happening Jan, 2023, where we will be taking a look at all of them and testing some of the features of Finance NLP. Are you willing to join?

The proliferation of healthcare data has contributed to the widespread usage of the PICO paradigm for creating specific clinical questions from RCT. PICO is a mnemonic that stands for: PICO is an essential tool that aids evidence-based practitioners in creating precise clinical questions and searchable keywords to address those issues. It calls for a high level of technical competence and medical domain knowledge, but it's also frequently very time-consuming. Automatically identifying PICO elements from this large sea of data can be made easier with the aid of machine learning (ML) and natural language processing (NLP). Empirical studies have shown that the use of PICO frames improves the specificity and conceptual clarity of clinical problems, elicits more information during pre-search reference interviews, leads to more complex search strategies, and yields more precise search results. Let's have a look at how this model can accurately identify medical texts using the PICO framework as an example.

LEWES, Del., Oct. 05, 2021 (GLOBE NEWSWIRE) -- John Snow Labs, the Healthcare AI and NLP company and developer of the Spark NLP library, today announced that it will enable free access to its enterprise-grade Annotation Lab and NLP Server software for all users. This announcement comes on the first day of the company's annual NLP Summit, a free online event that brings together the AI community to discuss the most important trends, use cases, and solutions advancing natural language processing (NLP). The Annotation Lab, a robust data labeling and AI/ML solution for teams, enables users to annotate documents, images, and videos. The software automatically trains models using active learning and transfer learning. The simple and efficient project-based workflow helps users leverage real-time analytics on productivity, dataset bias, inter-annotator agreement, and more.