Technology

Artificial Intelligence (AI) is revolutionizing the field of cancer immunotherapy by accelerating the discovery, development, and delivery of innovative treatments. Here is a breakdown of its potential role: Drug Discovery: AI algorithms can analyze vast amounts of genomic, proteomic, and clinical data to identify potential drug targets and predict the efficacy of immunotherapies. By leveraging…

The curb-cut effect refers to the broad and often unexpected benefits of designing for accessibility. Originally intended to assist people with physical disabilities, curb cuts have since proven beneficial for many others—parents with strollers, delivery workers with carts, and even travelers with rolling luggage. This concept extends beyond physical infrastructure to digital tools, including technology-enabled…

In the rapidly evolving landscape of artificial intelligence, ensuring that generative AI systems adhere to robust standards is crucial. The National Institute of Standards and Technology (NIST), for example, has developed the Generative AI Intelligence Profile, a comprehensive framework designed to guide the development and deployment of generative AI technologies. AgileWriter is at the forefront…

In the fast-evolving biopharmaceutical industry, the integration of artificial intelligence (AI) into clinical documentation processes presents an unprecedented opportunity to enhance efficiency and accuracy across the entire value chain. By adopting a technology-agnostic AI system, biopharma companies can significantly streamline operations, reduce costs, and accelerate drug development, ultimately delivering innovative therapies to patients more quickly.…

As artificial intelligence (AI) permeates various aspects of life and business, the importance of explainable AI (XAI) grows, particularly in content creation tools—especially when those are being used in a regulated environment. Explainable AI enhances user trust by making the workings of AI systems transparent and comprehensible. This blog post explores the pivotal role of…

In recent years, lean authoring principles have emerged as a cornerstone for efficient and effective communication. These principles, which emphasize planning, avoiding redundancy, and using precise language, are especially relevant in technical and professional writing. Artificial intelligence (AI), particularly through the use of large language models (LLMs), is uniquely positioned to enhance these lean authoring…

The World Health Organization (WHO) has long been a guiding force in global health issues, setting standards and offering recommendations to ensure the well-being and safety of populations worldwide. Recently, the organization has turned its attention towards the burgeoning field of artificial intelligence (AI), particularly focusing on large language models (LLMs) like ChatGPT, Bard, and…

Artificial intelligence (AI) systems are increasingly integrated into various sectors, including healthcare, finance, and customer service, making their reliability and accuracy critical. However, one lesser-known issue that can arise with AI systems is confabulation (aka hallucinations, fabrications). This blog post will delve into what confabulations in AI are, why they occur, and how they can…

In an era dominated by rapid advancements in artificial intelligence (AI), the need for robust governance frameworks has never been more critical. The Universal Guidelines on Artificial Intelligence (UGAI) represented a pioneering effort to address the ethical, legal, and societal challenges posed by AI technologies. This article delves into the essence of the UGAI, its…

Clinical documentation is a critical component in the healthcare and pharmaceutical industries, serving as the backbone for clinical studies, regulatory submissions, and patient care. Developing and maintaining metrics for the production of clinical documentation is essential to ensure quality, compliance, and efficiency and to be able to identify and mitigate risk during this process. When…