To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

Adaptive design, with advantages such as dynamically adjusting trial plans, reducing resource waste, and improving trial efficiency, has broken through the competitive situation of new drug development and gradually met the needs of clinical research. In recent years, the use of adaptive design in platform trials as an innovative research model has added impetus to new drug development. This article outlines the research progress, contents and characteristics, common design types, statistical analysis, and case interpretation of adaptive design, and introduces the concept, types, and applications of adaptive platform trials, with the hope of providing scientific reference for further exploration of clinical trials and new drug development.

Artificial intelligence(AI) empowers the development of the medical industry, providing precise and intelligent assistance for clinical diagnosis, treatment, and rehabilitation.AI has the potential to facilitate shared decision making (SDM), but AI interventions used for SDM are currently in their infancy, presenting both challenges and opportunities. This paper aims to describe the application of AI in SDM, explore the problems and challenges of AI-based decision aid used for SDM, and propose possible solutions, aiming to provide a guide for the development and implementation of AI-based decision aid.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.