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Related papers: Clinical Trials Protocol Authoring using LLMs

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Developing artificial intelligence (AI) for clinical research requires a comprehensive data foundation that supports model training and rigorous evaluation. Here, we introduce TrialPanorama, a large-scale structured resource that aggregates…

Artificial Intelligence · Computer Science 2025-12-17 Zifeng Wang , Jiacheng Lin , Qiao Jin , Junyi Gao , Jathurshan Pradeepkumar , Pengcheng Jiang , Zhiyong Lu , Jimeng Sun

Thanks to the rapidly evolving integration of LLMs into decision-support tools, a significant transformation is happening across large-scale systems. Like other medical fields, the use of LLMs such as GPT-4 is gaining increasing interest in…

The recent advances in Large Language Models (LLMs) have stimulated interest among researchers and industry professionals, particularly in their application to tasks concerning mobile user interfaces (UIs). This position paper investigates…

Human-Computer Interaction · Computer Science 2023-10-25 Yuwen Lu , Ziang Tong , Qinyi Zhao , Chengzhi Zhang , Toby Jia-Jun Li

Phenotype-driven gene prioritization is a critical process in the diagnosis of rare genetic disorders for identifying and ranking potential disease-causing genes based on observed physical traits or phenotypes. While traditional approaches…

Quantitative Methods · Quantitative Biology 2024-04-04 Junyoung Kim , Jingye Yang , Kai Wang , Chunhua Weng , Cong Liu

The integration of artificial intelligence into agricultural practices, specifically through Consultation on Intelligent Agricultural Machinery Management (CIAMM), has the potential to revolutionize efficiency and sustainability in farming.…

Computation and Language · Computer Science 2024-07-31 Emily Johnson , Noah Wilson

Clinical trials are pivotal for developing new medical treatments but typically carry risks such as patient mortality and enrollment failure that waste immense efforts spanning over a decade. Applying artificial intelligence (AI) to predict…

This paper studies recent developments in large language models' (LLM) abilities to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. The emergence of ChatGPT resulted in heated debates…

Computers and Society · Computer Science 2023-10-05 Jaromir Savelka , Arav Agarwal , Marshall An , Chris Bogart , Majd Sakr

Frontier large language models (LLMs), such as GPT-5, Claude 4.5, Gemini 3, Llama 4, and DeepSeek-R1, represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating human-like responses…

Large Language Models (LLMs) and multi-agent systems have shown impressive capabilities in natural language tasks but face challenges in clinical trial applications, primarily due to limited access to external knowledge. Recognizing the…

Computation and Language · Computer Science 2024-07-23 Ling Yue , Sixue Xing , Jintai Chen , Tianfan Fu

The manufacturing industry is undergoing a transformative shift, driven by cutting-edge technologies like 5G, AI, and cloud computing. Despite these advancements, effective system control, which is crucial for optimizing production…

Robotics · Computer Science 2025-03-07 Muhammad Waseem , Kshitij Bhatta , Chen Li , Qing Chang

Clinical trials are a critical process in the medical field for introducing new treatments and innovations. However, cohort selection for clinical trials is a time-consuming process that often requires manual review of patient text records…

Computation and Language · Computer Science 2025-01-22 Chi-en Amy Tai , Xavier Tannier

This paper investigates current software testing systems and explores how artificial intelligence, specifically Generative AI, can be integrated to enhance these systems. It begins by examining different types of AI systems and focuses on…

Software Engineering · Computer Science 2026-03-03 Tanish Singla , Qusay H. Mahmoud

The integration of Large Language Models (LLMs) into the drug discovery and development field marks a significant paradigm shift, offering novel methodologies for understanding disease mechanisms, facilitating drug discovery, and optimizing…

Quantitative Methods · Quantitative Biology 2024-09-10 Yizhen Zheng , Huan Yee Koh , Maddie Yang , Li Li , Lauren T. May , Geoffrey I. Webb , Shirui Pan , George Church

Generative large language models (LLMs) can be a powerful tool for augmenting text annotation procedures, but their performance varies across annotation tasks due to prompt quality, text data idiosyncrasies, and conceptual difficulty.…

Computation and Language · Computer Science 2023-06-02 Nicholas Pangakis , Samuel Wolken , Neil Fasching

Large language models (LLMs) are playing an increasingly important role in science and engineering. For example, their ability to parse and understand human and computer languages makes them powerful interpreters and their use in…

Materials Science · Physics 2023-10-19 Juan C. Verduzco , Ethan Holbrook , Alejandro Strachan

LLMs are revolutionizing NLP tasks. However, the use of the most advanced LLMs, such as GPT-4, is often prohibitively expensive for most specialized fields. We introduce HEAL, the first continuously trained 13B LLaMA2-based LLM that is…

Computation and Language · Computer Science 2024-04-05 Dong Yuan , Eti Rastogi , Gautam Naik , Sree Prasanna Rajagopal , Sagar Goyal , Fen Zhao , Bharath Chintagunta , Jeff Ward

Background: Drug development is often inefficient, costly and lengthy, yet it is essential for evaluating the safety and efficacy of new interventions. Compared with other disease areas, this is particularly true for Phase II / III cancer…

Methodology · Statistics 2024-05-13 Abigail Burdon , Thomas Jaki , Xijin Chen , Pavel Mozgunov , Haiyan Zheng , Richard Baird

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without…

Computation and Language · Computer Science 2024-04-23 Yilin Gao , Sai Kumar Arava , Yancheng Li , James W. Snyder

Generative AI is rapidly transforming medical imaging and text analysis, offering immense potential for enhanced diagnosis and personalized care. However, this transformative technology raises crucial ethical, societal, and legal questions.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Onyekachukwu R. Okonji , Kamol Yunusov , Bonnie Gordon
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