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.
原创: 万小庆 红杏e生
我院2009年湿润烧伤膏治疗
糖尿病足1例临床体会
作者/万小庆
原创: 田洪涛 骨外帅田爸
点击上面的骨外帅田爸 轻松关注我
急救系列终于来了,希望能对大家有所帮助,避免一些悲剧。
热烧伤可以由火,过热的液体,高温气体等导致,在日常生活中非常的多见。
原创:医学生
1成人烧伤面积计算口诀
三三三五六七
十三,十三,二十一
原创: 王少克 医学之声
来源:医学之声 作者:王少克
概念分度口诀
热力损害叫烧伤 表现分度要记祥一度烧伤最为轻 损伤只在表浅层皮肤红疼有渗出 但无水泡是特征浅二生发乳头层 红肿剧痛水泡成深二伤及真皮层 水泡疼痛反而轻三度损伤最为深 肤白变软成炭人
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
扫一扫了解详情:
任何关于疾病的建议都不能替代执业医师的面对面诊断。所有门诊时间仅供参考,最终以医院当日公布为准。
网友、医生言论仅代表其个人观点,不代表本站同意其说法,请谨慎参阅,本站不承担由此引起的法律责任。