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期刊名:Annual review of biomedical data science

缩写:ANNU REV BIOMED DA S

ISSN:2574-3414

e-ISSN:2574-3414

IF/分区:6.0/Q1

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共收录本刊相关文章索引119
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Naoto Usuyama,Cliff Wong,Sheng Zhang et al. Naoto Usuyama et al.
Biomedicine has rapidly digitized over recent decades, from genomic sequencing to electronic medical records. Now, the rise of large language models (LLMs) is driving a generative artificial intelligence (AI) revolution in natural language ...
Ryan Baker,Josep Bassaganya-Riera,Nuria Tubau-Juni et al. Ryan Baker et al.
The TITAN-X Precision Medicine Platform was engineered to rapidly, fully, and efficiently utilize large-scale immunology datasets, including public data, in drug discovery and development. TITAN-X integrates big data with artificial intelli...
Thodoris Koutsandreas,Kalliopi Tsafou,Heiko Horn et al. Thodoris Koutsandreas et al.
Drug target identification is the first step in drug development, and its importance is underscored by the fact that, even when using genetic evidence to improve success rates, only a small fraction of lead targets end up approved for use i...
Judith Abécassis,Élise Dumas,Julie Alberge et al. Judith Abécassis et al.
The increasing accumulation of medical data brings the hope of data-driven medical decision-making, but data's increasing complexity-as text or images in electronic health records-calls for complex models, such as machine learning. Here, we...
William Hersh William Hersh
Generative artificial intelligence (AI) has had a profound impact on biomedicine and health, both in professional work and in education. Based on large language models (LLMs), generative AI has been found to perform as well as humans in sim...
Christine Y Yeh,Dennis P Wall,Karen Matthys et al. Christine Y Yeh et al.
In recent decades, there has been an explosion of data streams spanning the entire spectrum of biomedicine, opening novel opportunities to tackle biological and medical research questions, increasing our ability to provide effective and eff...
Abdoul Jalil Djiberou Mahamadou,Artem A Trotsyuk Abdoul Jalil Djiberou Mahamadou
Efforts to mitigate bias and enhance fairness in the artificial intelligence (AI) community have predominantly focused on technical solutions. While numerous reviews have addressed bias in AI, this review uniquely focuses on the practical l...
Yifan Yang,Qiao Jin,Qingqing Zhu et al. Yifan Yang et al.
Large language models (LLMs) have gained significant attention in the medical domain for their human-level capabilities, leading to increased efforts to explore their potential in various healthcare applications. However, despite such a pro...
Grace D Ramey,Hannah Takasuka,John A Capra Grace D Ramey
The growth of electronic health record (EHR) databases in size and availability has created an unprecedented opportunity to better understand human health and disease. However, conducting robust EHR studies requires careful filtering criter...
Zhiyuan Cao,Vipina K Keloth,Qianqian Xie et al. Zhiyuan Cao et al.
Large language models (LLMs) have become powerful tools for biomedical applications, offering potential to transform healthcare and medical research. Since the release of ChatGPT in 2022, there has been a surge in LLMs for diverse biomedica...