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http://dx.doi.org/10.1016/j.oret.2024.03.013 | DOI Listing |
iScience
September 2025
State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Generative models have transformed protein design by enabling the generation of extensive datasets. However, accurate identification of biologically active sequences with specific functions within such data remains a significant challenge. In this study, we present a novel pipeline that integrates models for sequence generation, ranking, and selection to engineer proteins with enhanced properties.
View Article and Find Full Text PDFBMC Med Educ
August 2025
Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Background: This study explored the use of Generative Artificial Intelligence (GAI) by Chinese academic physicians in clinical teaching activities within standardized residency training (TA-SRT) in critical care settings, and their awareness of ethical issues associated with GAI. The findings of this study will guide the rationale for GAI applications and sustainable integration into medical education.
Methods: This nationwide cross-sectional study utilized a self-administered questionnaire distributed via the Wenjuanxing platform to attending and higher-ranking physicians in critical care medicine departments across China who were involved in TA-SRT.
Eur Radiol
August 2025
Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou, China.
Objectives: This study aims to explore the feasibility of employing generative adversarial networks (GAN) to generate synthetic contrast-enhanced ultrasound (CEUS) from grayscale ultrasound images of patients with thyroid nodules while dispensing with the need for ultrasound contrast agents injection.
Materials And Methods: Patients who underwent preoperative thyroid CEUS examinations between January 2020 and July 2022 were collected retrospectively. The cycle-GAN framework integrated paired and unpaired learning modules was employed to develop the non-invasive image generation process.
Comput Methods Programs Biomed
November 2025
Department of Urology and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China; West China Tianfu Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address:
Objective: Large language models (LLMs) demonstrate significant potential in biomedical knowledge discovery, yet their performance in extracting fine-grained biological information, such as miRNA, remains insufficiently explored. Accurate extraction of miRNA-related information is essential for understanding disease mechanisms and identifying biomarkers. This study aims to comprehensively evaluate the capabilities of LLMs in miRNA information extraction through diverse prompt learning strategies.
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