Jack Stanley,1,2,6 Emmett Rabot,3,4,6 Siva Reddy,1 Eugene Belilovsky,1,5 Laurent Mottron,3,4,7 and Danilo Bzdok1,2,7,8,*
1 Mila - Que´ bec Artificial Intelligence Institute, Montre´ al, QC H2S3H1, Canada
2 The Neuro - Montre´ al Neurological Institute (MNI), McConnell Brain Imaging Centre, Department of Biomedical Engineering, Faculty of Medicine, School of Computer Science, McGill University, Montre´ al, QC H3A2B4, Canada
3 Research Center, Centre Inte´ gre´ Universitaire de Sante´ et de Services Sociaux du Nord-de-lIle-de-Montre´ al (CIUSSS-NIM), Montre´ al, QC H4K1B3, Canada
4 Universite´ de Montre´ al, Montre´ al, QC H3C3J7, Canada
5 Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
6 These authors contributed equally
7 These authors contributed equally
8 Lead contact
*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
https://doi.org/10.1016/j.cell.2025.02.025
SUMMARY
Efforts to use genome-wide assays or brain scans to diagnose autism have seen diminishing returns. Yet the clinical intuition of healthcare professionals, based on longstanding first-hand experience, remains the gold standard for diagnosis of autism. We leveraged deep learning to deconstruct and interrogate the logic of expert clinician intuition from clinical reports to inform our understanding of autism. After pre-training on hundreds of millions of general sentences, we finessed large language models (LLMs) on >4,000 free-form health records from healthcare professionals to distinguish confirmed versus suspected autism cases. By introducing an explainability strategy, our extended language model architecture could pin down the most salient single sentences in what drives clinical thinking toward correct diagnoses. Our framework flagged the most autism-critical DSM-5 criteria to be stereotyped repetitive behaviors, special interests, and perception-based behaviors, which challenges today,s focus on deficits in social interplay, suggesting necessary revision of long-trusted diagnostic criteria in gold-standard instruments.
Li Yuping,1,7,* Linlin Guan,2 Isabelle Becher,3 Kira S. Makarova,4 Xueli Cao,2 Surabhi Hareendranath,1 Jingwen Guan,1 Frank Stein,3 Siqi Yang,2 Arne Boergel,3 Karine Lapouge,3 Kim Remans,3 David Agard,5 Mikhail Savitski,3 Athanasios Typas,3 Eugene V. Koonin,4 Yue Feng,2,* and Joseph Bondy-Denomy1,6,8,*
1 Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94403, USA
2 State Key Laboratory of Green Biomanufacturing, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
3 European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany
4 Computational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
5 The Chan-Zuckerberg Institute for Advanced Biological Imaging and the Department of Biochemistry, University of California, San Francisco, San Francisco, CA 94143, USA
6 Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94403, USA
7 Present address: Biozentrum, University of Basel, Basel 4056, Switzerland
*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (L.Y.), 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (Y.F.), 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (J.B.-D.)
https://doi.org/10.1016/j.cell.2025.02.016
Jumbo bacteriophages of the fKZ-like family assemble a lipid-based early phage infection (EPI) vesicle and a proteinaceous nucleus-like structure during infection. These structures protect the phage from nucleases and may create selective pressure for immunity mechanisms targeting this specific phage family. Here, we identify ‘‘jumbo phage killer’’ (Juk), a two-component immune system that terminates infection of fKZ-like phages, suppressing the expression of early phage genes and preventing phage DNA replication and phage nucleus assembly while saving the cell. JukA (formerly YaaW) rapidly senses the EPI vesicle by binding to an early-expressed phage protein, gp241, and then directly recruits JukB. The JukB effector structurally resembles a pore-forming toxin and destabilizes the EPI vesicle. Functional anti-fKZ JukA homologs are found across bacterial phyla, associated with diverse effectors. These findings reveal a widespread defense system that specifically targets early events executed by fKZ-like jumbo phages prior to phage nucleus assembly.
伤口新型敷料的应用，因费用低、效果好、操作方便而被广大患者所接受。
本文原文作者为美国加州大学戴维斯医学中心伤口护理中心主任Holly Kirkland-Kyhn博士，中文译者为河北省唐县白求恩纪念医院的张瑞红老师，作者详细介绍见文末。
来源：斯洛伐克共和国布拉迪斯拉发康塞纽斯大学和 Ružinov 大学医院烧伤和重建外科
正大型全麻术后伤口感染是较为常见的院内感染类型之一,也是较为常见的围手术期并发症之一。对于外科患者而言,出现伤口感染将带来诸多负担,如住院时间的延长,住院费用的提高,术后功能康复时间延长及效果不佳,术后延误放化疗治疗等。罹患口腔恶性肿瘤的患者一般多为中老年患者,而且大多都需要接受皮瓣修复,淋巴清扫,显微血管吻合等较为复杂的手术治疗方法。
伤口世界平台生态圈，以“关爱人间所有伤口患者”为愿景，连接、整合和拓展线上和线下的管理慢性伤口的资源，倡导远程、就近和居家管理慢性伤口，解决伤口专家的碎片化时间的价值创造、诊疗经验的裂变复制、和患者的就近、居家和低成本管理慢性伤口的问题。
2019广东省医疗行业协会伤口管理分会年会
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