Results 231 to 240 of about 434,923 (295)

Genetic Diagnosis and Discovery Enabled by Large Language Models

Advanced Science, EarlyView.
We demonstrate that large language models (LLMs) can facilitate genetic diagnosis and discovery. LLMs were used to solve four types of genetic problems of sequentially increased complexity. An LLM‐based pipeline could analyze genetic variants in the genomic sequences of human hearing loss or rare genetic disease patients and assist in identifying ...
Tao Tu, Khaled Saab, Weida Liu, Zhouqing Fang, Zhuanfen Cheng, Svetolik Spasic, Maja Djurisic, Hiroaki Mohri, Wenlong Ren, Anil Palepu, Juraj Gottweis, Alan Karthikesalingam, Kavita Kulkarni, Annalisa Pawlosky, Devon Bonner, Elijah Kravets, Shruti Marwaha, Hector R. Mendez, Matthew T. Wheeler, Jonathan A. Bernstein, Undiagnosed Diseases Network, Cheng‐Yu Tsai, Chen‐Chi Wu, Konstantina M. Stankovic, Vivek Natarajan, Gary Peltz   +25 more
wiley   +1 more source

Natural medicines for radioprotection and radiosensitization: a bibliometric analysis of mechanisms and trends (2001-2025). [PDF]

Front Oncol
Di Y, Song J, Wang Y, Meng L, Li J.
europepmc   +1 more source

Leveraging Large Language Models for Detecting Citation Quotation Errors in Biomedical Literature

American Medical Association 2025, Sarol, Janina   +1 more
openalex   +1 more source

RIPK3 Orchestrates Scar‐Associated Macrophage Dysfunction to Drive Pulmonary Fibrosis

Advanced Science, EarlyView.
Beyond signaling cell death, RIPK3 emerges as a critical metabolic regulator in pulmonary fibrosis. This research reveals that RIPK3 promotes PI3K‐AKT signaling in scar‐associated macrophages to fuel polyamine synthesis, independent of its kinase activity.
Tao Yang, Xiao Li, Shuyue Lei, Qingqing Li, Yi Zhang, Zhizhen Hui, Jinjin Ren, Xuelian Yang, Xiaoqian Yang, Chunlan Feng, Yousheng Xu, Dongxin Zhao, Wei Tang   +12 more
wiley   +1 more source

Medical student research productivity and scholarly impact: A 20-year bibliometric comparison with medical residents. [PDF]

PLoS One
Hausner CJ, Yi M, Patel MS, Franchino JT, Day CS.   +4 more
europepmc   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

Advanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu, Xiaoyu Yao, Qingyang Wang, Mengrui Yang, Runze Li, Jiangjiang Qin, Jing Zhuang, Changgang Sun   +7 more
wiley   +1 more source

Correction: Low level of plasma DNase is associated with worse clinical outcome in testicular germ cell tumor patients and exogeneous DNase I improves cisplatin treatment efficacy. [PDF]

PLoS One
PLOS One Staff.
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Enabling transparent research evaluation: A method for historical RCR retrieval using public NIH metadata. [PDF]

PLoS One
Haupt F, Senge JF, von Tengg-Kobligk H, Bosbach WA.   +3 more
europepmc   +1 more source