Integrative Data Science in Drug Safety Research: Experiences, Challenges, and Perspectives [0.03%]
药物安全研究中的集成数据科学：经验、挑战与展望
Ferran Sanz
Ferran Sanz
Pharmaceutical research and development largely depend on the quantity and quality of data that are available to support projects. The secondary use of data by means of collaborative and integrative approaches is yielding promising results ...
Nicolas Hiebel,Olivier Ferret,Karën Fort et al.
Nicolas Hiebel et al.
Generative artificial intelligence (AI), operationalized as large language models, is increasingly used in the biomedical field to assist with a range of text processing tasks including text classification, information extraction, and decis...
Divya Shanmugam,Monica Agrawal,Rajiv Movva et al.
Divya Shanmugam et al.
The increased capabilities of generative artificial intelligence (AI) have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial org...
Marc Subirana-Granés,Jill Hoffman,Haoyu Zhang et al.
Marc Subirana-Granés et al.
Understanding the genetic basis of complex traits is a longstanding challenge in the field of genomics. Genome-wide association studies have identified thousands of variant-trait associations, but most of these variants are located in nonco...
Evaluation and Regulation of Artificial Intelligence Medical Devices for Clinical Decision Support [0.03%]
临床决策支持人工智能医疗器械的评价和监管
Gary E Weissman
Gary E Weissman
Artificial intelligence (AI) methods were first developed nearly seven decades ago. Only in recent years have they demonstrated their potential to improve clinical care at the bedside. AI systems are now capable of interpreting, predicting,...
Kevin K Tsang,Sophia Kivelson,Jose M Acitores Cortina et al.
Kevin K Tsang et al.
Cancer remains a leading cause of death globally. The complexity and diversity of cancer-related datasets across different specialties pose challenges in refining precision medicine for oncology. Foundation models offer a promising solution...
Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations [0.03%]
用于合成表格数据的条件生成模型：精准医学和多样表示的应用
Kara Liu,Russ B Altman
Kara Liu
Tabular medical datasets, like electronic health records (EHRs), biobanks, and structured clinical trial data, are rich sources of information with the potential to advance precision medicine and optimize patient care. However, real-world m...
Spatial Transcriptomics Brings New Challenges and Opportunities for Trajectory Inference [0.03%]
空间转录组学为轨迹推理带来新的挑战和机遇
Matthieu Heitz,Yujia Ma,Sharvaj Kubal et al.
Matthieu Heitz et al.
Spatial transcriptomics (ST) brings new dimensions to the analysis of single-cell data. While some methods for data analysis can be ported over without major modifications, they are the exception rather than the rule. Trajectory inference (...
Hyunghoon Cho,David Froelicher,Natnatee Dokmai et al.
Hyunghoon Cho et al.
The rapidly growing scale and variety of biomedical data repositories raise important privacy concerns. Conventional frameworks for collecting and sharing human subject data offer limited privacy protection, often necessitating the creation...
Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives [0.03%]
医疗保健数据中的疾病轨迹：方法论、主要结果和未来展望
Isabella Friis Jørgensen,Amalie Dahl Haue,Davide Placido et al.
Isabella Friis Jørgensen et al.
Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provi...