检索结果-内蒙古大学图书馆

Mindestinformationsstandards in der Chemie: Ein Appell zum besseren Umgang mit Forschungsdaten

Angewandte Chemie 2022年第51期134卷

作者： Prof. Dr. Sonja Herres-Pawlis Dr. Felix Bach Dr. Ian J. Bruno Dr. Stuart J. Chalk Dr. Nicole Jung Dr. Johannes C. Liermann Leah R. McEwen Dr. Steffen Neumann Prof. Dr. Christoph Steinbeck Matthias Razum Dr. Oliver Koepler Institut für Anorganische Chemie RWTH Aachen University Landoltweg 1A 52074 Aachen Deutschland E-Research FIZ Karlsruhe – Leibniz Institute for Information Infrastructure Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Deutschland Cambridge Crystallographic Data Centre 12 Union Road Cambridge CB2 1EZ UK Department of Chemistry University of North Florida 1 UNF Drive Jacksonville FL 32224 USA Institute of Biological and Chemical Systems (IBCS) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Deutschland Johannes Gutenberg University Mainz Department of Chemistry Duesbergweg 10–14 55128 Mainz Deutschland Cornell University Library 293 Clark Hall Ithaca NY 14853-2501 USA Bioinformatics and Scientific Data Leibniz Institute of Plant Biochemistry Weinberg 3 06120 Halle Deutschland Institute for Inorganic and Analytical Chemistry Friedrich-Schiller-University Jena Lessingstr. 1 07743 Jena Deutschland Lab Linked Scientific Knowledge TIB – Leibniz Information Centre for Science and Technology Welfengarten 1B 30173 Hannover Deutschland

Forschungsdatenmanagement (FDM) ist erforderlich, um wissenschaftlichen Fortschritt und das Sammeln von Daten zu fördern. Viele Fördergeldgeber verlangen FDM, da Forschung oft durch Steuergelder finanziert wird und daraus resultierende Daten nachhaltig für kommende Generationen hinterlegt werden sollten. In heutigen Laboren sind Papier-Laborbücher allerdings noch immer gängige Praxis, und die Forschungsdaten werden oft in proprietären Dateiformaten ohne experimentellen Kontext gespeichert. Daten müssen über eine Rolle als bloßes Anhängsel von Publikationen hinauswachsen. Elektronische Laborbücher (ELN) und Laborinformationsmanagementsysteme (LIMS) ermöglichen es, Daten besser zu verwalten sowie Forschung und Veröffentlichung zu vereinfachen. Die in gutes FDM investierte Zeit zahlt sich später in vielerlei Hinsicht aus. Daher werden Mindestinformationsstandards (MI) für die Handhabung von Daten benötigt. Die Digitalisierung hält gerade Einzug in die Lehrpläne, sodass zukünftige Generationen von ChemikerInnen mit FDM und ELN-Nutzung vertraut sein werden.

关键词： Datenpublikation Elektronische Laborbücher Forschungsdatenmanagement Mindestinformation Repositorien

来源：评论

学校读者我要写书评

暂无评论

Hierarchical and modularly-minimal vertex colorings

arXiv

引用

arXiv 2020年

作者： Valdivia, Dulce I. Geiß, Manuela Rosales, Maribel Hernández Stadler, Peter F. Hellmuth, Marc Km. 9.6 Libramiento Norte Carretera Irapuato-León Irapuato GTOMX-36821 Mexico Bioinformatics Group Department of Computer Science & Interdisciplinary Center for Bioinformatics Universität Leipzig Härtelstraße 16-18 LeipzigD-04107 Germany Software Competence Center Hagenberg GmbH Softwarepark 21 HagenbergA-4232 Austria CONACYT-Instituto de Matemáticas UNAM Juriquilla Blvd. Juriquilla 3001 Juriquilla Querétaro QRO76230 Mexico Halle-Jena-Leipzig Competence Center for Scalable Data Services and Solutions Dresden-Leipzig Leipzig Research Center for Civilization Diseases Centre for Biotechnology and Biomedicine at Leipzig University Universität Leipzig Max Planck Institute for Mathematics in the Sciences Inselstraße 22 LeipzigD-04103 Germany Institute for Theoretical Chemistry University of Vienna Währingerstrasse 17 WienA-1090 Austria Facultad de Ciencias Universidad National de Colombia Sede Bogotá Colombia Santa Fe Insitute 1399 Hyde Park Rd. Santa FeNM87501 United States School of Computing University of Leeds EC Stoner Building LeedsLS2 9JT United Kingdom

Cographs are exactly the hereditarily well-colored graphs, i.e., the graphs for which a greedy vertex coloring of every induced subgraph uses only the minimally necessary number of colors χ(G). We show that greedy colorings are a special case of the more general hierarchical vertex colorings, which recently were introduced in phylogenetic combinatorics. Replacing cotrees by modular decomposition trees generalizes the concept of hierarchical colorings to arbitrary graphs. We show that every graph has a modularly-minimal coloring σ satisfying |σ(M)| = χ(M) for every strong module M of G. This, in particular, shows that modularly-minimal colorings provide a useful device to design efficient coloring algorithms for certain hereditary graph classes. For cographs, the hierarchical colorings coincide with the modularly-minimal coloring. As a by-product, we obtain a simple linear-time algorithm to compute a modularly-minimal coloring of P4-sparse graphs. Copyright © 2020, The Authors. All rights reserved.

关键词： Coloring

来源：评论

学校读者我要写书评

暂无评论

Generalized fitch graphs II: Sets of binary relations that are explained by edge-labeled trees

arXiv

引用

arXiv 2019年

作者： Hellmuth, Marc Seemann, Carsten R. Stadler, Peter F. Institute of Mathematics and Computer Science University of Greifswald Walther-Rathenau-Strasse 47 Greifswald D-17487 Germany Saarland University Center for Bioinformatics Building E 2.1 P.O. Box 151150 Saarbrücken D-66041 Germany Max Planck Institute for Mathematics in the Sciences Inselstraße 22 Leipzig D-04103 Germany Bioinformatics Group Department of Computer Science Interdisciplinary Center for Bioinformatics University of Leipzig Härtelstraße 16-18 Leipzig D-04107 Germany Halle-Jena-Leipzig Competence Center for Scalable Data Services and Solutions Dresden-Leipzig Leipzig Research Center for Civilization Diseases Centre for Biotechnology and Biomedicine University of Leipzig Härtelstraße 16-18 Leipzig D-04107 Germany Institute for Theoretical Chemistry University of Vienna Währingerstraße 17 Wien A-1090 Austria Facultad de Ciencias Universidad Nacional de Colombia Sede Bogotá Colombia The Santa Fe Institute 1399 Hyde Park Rd. Santa Fe NM 87501 United States

Fitch graphs G = (X, E) are digraphs that are explained by {0/, 1}-edge-labeled rooted trees T with leaf set X: there is an arc (x, y) ∈ E if and only if the unique path in T that connects the last common ancestor lca(x, y) of x and y with y contains at least one edge with label "1". In practice, Fitch graphs represent xenology relations, i.e., pairs of genes x and y for which a horizontal gene transfer happened along the path from lca(x, y) to y. In this contribution, we generalize the concept of Fitch graphs and consider trees T that are equipped with edge-labeling λ : E → P(M) that assigns to each edge a subset M' ⊆ M of colors. Given such a tree, we can derive a map Ε(T,λ) (or equivalently a set of not necessarily disjoint binary relations), such that i ∈ Ε(T,λ)(x, y) (or equivalently (x, y) ∈ Ri) with x, y ∈ X, if and only if there is at least one edge with color i from lca(x, y) to y. The central question considered here: Is a given map Ε a Fitch map, i.e., is there there an edge-labeled tree (T, λ) with Ε(T,λ) = Ε, and thus explains Ε? Here, we provide a characterization of Fitch maps in terms of certain neighborhoods and forbidden submaps. Further restrictions of Fitch maps are considered. Moreover, we show that the least-resolved tree explaining a Fitch map is unique (up to isomorphism). In addition, we provide a polynomial-time algorithm to decide whether Ε is a Fitch map and, in the affirmative case, to construct the (up to isomorphism) unique least-resolved tree (T∗, λ∗) that explains Ε.MSC Codes 68R01, 05C05, 92D15 Copyright © 2019, The Authors. All rights reserved.

关键词： Phylogenetic

来源：评论

学校读者我要写书评

暂无评论

A NOVEL APPROACH TO ASSESS DYNAMIC TREATMENT REGIMES EMBEDDED IN A SMART WITH AN ORDINAL OUTCOME

arXiv

引用

arXiv 2018年

作者： Ghosh, Palash Yan, Xiaoxi Chakraborty, Bibhas Department of Mathematics School of Health Science & Technology Indian Institute of Technology Guwahati India Centre for Quantitative Medicine Duke-NUS Medical School Singapore Department of Statistics and Data Science National University of Singapore Singapore Department of Biostatistics and Bioinformatics Duke University DurhamNC United States

Sequential multiple assignment randomized trials (SMARTs) are used to construct data-driven optimal intervention strategies for subjects based on their intervention and covariate histories in different branches of health and behavioral sciences where a sequence of interventions is given to a participant. Sequential intervention strategies are often called dynamic treatment regimes (DTR). In the existing literature, the majority of the analysis methodologies for SMART data assume a continuous primary outcome. However, ordinal outcomes are also quite common in clinical practice. In this work, first, we introduce the notion of generalized odds ratio (GOR) to compare two DTRs embedded in a SMART with an ordinal outcome and discuss some combinatorial properties of this measure. Next, we propose a likelihood-based approach to estimate GOR from SMART data, and derive the asymptotic properties of its estimate. We discuss alternative ways to estimate GOR using concordant-discordant pairs and two-sample U-statistic. We derive the required sample size formula for designing SMARTs with ordinal outcomes based on GOR. A simulation study shows the performance of the estimated GOR in terms of the estimated power corresponding to the derived sample size. The methodology is applied to analyze data from the SMART+ study, conducted in the UK, to improve carbohydrate periodization behavior in athletes using a menu planner mobile application, Hexis Performance. A freely available Shiny web app using R is provided to make the proposed methodology accessible to other researchers and practitioners. Copyright © 2018, The Authors. All rights reserved.

关键词： Behavioral research

来源：评论

学校读者我要写书评

暂无评论

POS0100 TARGETING NF-ΚB SIGNALLING IN B LINEAGE CELLS AS A POTENTIAL NOVEL TREATMENT STRATEGY FOR ANCA-ASSOCIATED VASCULITIS

引用

Annals of the Rheumatic Diseases 2023年 82卷 263-263页

作者： A. Merino-Vico J.P. Van Hamburg C. Bonasia P. Heeringa P. Tuijnenburg B. Helder M. Jansen A. Al-Soudi H.K. Olsson N. De Vries C. Stegeman J.S. Sanders A. Rutgers W. Abdulahad P. Lyons T. Bijma A. Jongejan T.W. Kuijpers S. Tas Amsterdam Rheumatology & immunology Center Amsterdam UMC/University of Amsterdam Department of Rheumatology and Clinical Immunology Amsterdam Netherlands Amsterdam UMC/University of Amsterdam Department of Experimental Immunology Amsterdam Netherlands University Medical Center Groningen Groningen the Netherlands Department of Rheumatology and Clinical Immunology Groningen Netherlands University Medical Center Groningen Groningen the Netherlands Department of Pathology and Medical Biology Groningen Netherlands Emma Children's Hospital Amsterdam UMC University of Amsterdam Department of Pediatric Immunology Rheumatology and Infectious diseases Amsterdam Netherlands AstraZeneca AstraZeneca Gothenburg Sweden Gothenburg Sweden University Medical Center Groningen Groningen the Netherlands Dept of Internal Medicine Division of Nephrology Groningen Netherlands University pf Cambridge School of Clinical Medicine University of Cambridge Dept of Medicine Cambridge United Kingdom Amsterdam Public Health Research Institute Amsterdam UMC University of Amsterdam Department of Epidemiology and Data Science Bioinformatics Laboratory Amsterdam Netherlands Sanquin Amsterdam Amsterdam & Department of Blood Cell Research Amsterdam Netherlands Academic Medical Center (AMC) Department of Pediatrics Amsterdam Netherlands

Background B cells are crucially important in the pathogenesis of many autoimmune diseases, including ANCA-associated vasculitis (AAV), which is further demonstrated by the beneficial clinical effects of rituximab (anti-CD20) B cell targeted therapy. Despite its advantages, this treatment strategy results in long-term B cell depletion and fails to target long-lived plasma cells, rendering an unmet need for more reversible and combined B and plasma cell targeting approaches to achieve long-term disease remission. This aim may be reached by targeting signalling pathways essential for different B cell functions. The canonical and non-canonical NF-κB signalling pathways regulate fundamental B and/or plasma cell responses downstream of various B cell surface receptors, including the B cell receptor, CD40, and TLRs. Objectives To study potential alterations in NF-κB signalling in B lineage cells and to evaluate the effects of targeting NF-κB on B cell responses in general, and more specifically on proliferation, plasmablast differentiation and (auto)antibody production in B cells from AAV patients. Methods Memory B cells were obtained from AAV patients and healthy donors (HD), and gene expression profiles were generated by RNA-sequencing. Functional assays were performed by culturing PMBCs from AAV patients and HD with stimuli mimicking T cell-dependent (anti-CD40/IL-21) and T cell-independent (CpG/IL-2) conditions. Pharmacological inhibitors of Inhibitor-of-κB-kinase-β (IKKβ, canonical pathway) or NF-κB inducing kinase (NIK, non-canonical pathway) were added to the cultures. Downstream NF-κB signalling was determined by Western blot. After 6-day cultures, B cell proliferation and differentiation were determined by flow cytometry, and ELISA was performed for the detection of (auto)antibody production. Results Memory B cells from AAV patients with active disease exhibited an increased expression of NF-κB-associated genes compared to patients in remission and HD. Targeting

关键词：

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit

引用

Nature communications 2023年第1期14卷 1072页

作者： Morgane Boone Pathmanaban Ramasamy Jasper Zuallaert Robbin Bouwmeester Berre Van Moer Davy Maddelein Demet Turan Niels Hulstaert Hannah Eeckhaut Elien Vandermarliere Lennart Martens Sven Degroeve Wesley De Neve Wim Vranken Nico Callewaert Center for Medical Biotechnology VIB Zwijnaarde Belgium. morganeboone@***. Department of Biochemistry and Microbiology Faculty of Sciences Ghent University Ghent Belgium. morganeboone@***. Department of Biochemistry and Biophysics UCSF San Francisco CA USA. morganeboone@***. Center for Medical Biotechnology VIB Zwijnaarde Belgium. Department of Biomolecular Medicine Faculty of Medicine and Health Sciences Ghent University Ghent Belgium. Structural Biology Brussels VUB Brussels Belgium. Structural Biology Research Center VIB Brussels Belgium. Interuniversity Institute of Bioinformatics in Brussels (IB)2 ULB-VUB Brussels Belgium. Department of Biochemistry and Microbiology Faculty of Sciences Ghent University Ghent Belgium. Center for Biotech Data Science Ghent University Global Campus Songdo Incheon South Korea. IDLab ELIS UGent Ghent Belgium. Center for Medical Biotechnology VIB Zwijnaarde Belgium. nico.callewaert@vib-ugent.be. Department of Biochemistry and Microbiology Faculty of Sciences Ghent University Ghent Belgium. nico.callewaert@vib-ugent.be.

来源：评论

学校读者我要写书评

暂无评论

Multiple analyses indicate the specific association of NR1I3,C6 and TNN with low hip BMD risk

引用

Journal of Genetics and Genomics 2017年第6期44卷 327-330页

作者： Ying-Ying Han Lan-Juan Zhao Yong Lin Hao He Qing Tian Wei Zhu Hui Shen Xiang-Ding Chen Hong-Wen Deng Center of System Biomedical Sciences University of Shanghai for Science and Technology Center for Bioinformatics and Genomics Department of Global Biostatistics and Data ScienceSchool of Public Health and Tropical MedicineTulane University Laboratory of Molecular and Statistical Genetics and the Key Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education College of Life SciencesHunan Normal University

Low hip bone mineral density(BMD)is an important index for osteoporosis and is associated with hip fracture,which leads to more cases of disability and mortality than all other kinds of fractures(Kanis et al.,2007).BMD’s heritability is more than 60%(Arden et al.,1996).A number of candidate loci for BMD have been previously identified by Genome Wide Association Studies(GWAS)(Xiong et al.,2009;Karasik et al.,2010;Zhang et al.,2013).Nevertheless,many significant signals based on GWAS are

关键词： BMD ERE is in Multiple analyses indicate the specific association of NR1I3,C6 and TNN with low hip BMD risk of GWAS BRCA NR with

来源：评论

学校读者我要写书评

暂无评论

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

arXiv

引用

arXiv 2021年

作者： Sharifrazi, Danial Alizadehsani, Roohallah Roshanzamir, Mohamad Joloudari, Javad Hassannataj Shoeibi, Afshin Jafari, Mahboobeh Hussain, Sadiq Sani, Zahra Alizadeh Hasanzadeh, Fereshteh Khozeimeh, Fahime Khosravi, Abbas Nahavandi, Saeid Panahiazar, Maryam Zare, Assef Shariful Islam, Sheikh Mohammed Rajendra, U. Acharya Department of Computer Engineering School of Technical and Engineering Shiraz Branch Islamic Azad University Shiraz Iran Deakin University Geelong Australia Department of Engineering Fasa Branch Islamic Azad University Post Box No 364 Fasa Fars*** Iran Department of Computer Engineering Faculty of Engineering University of Birjand Birjand Iran Computer Engineering Department Ferdowsi University of Mashhad Mashhad Iran Faculty of Electrical and Computer Engineering Biomedical Data Acquisition Lab K. N. Toosi University of Technology Tehran Iran Electrical and Computer Engineering Faculty Semnan University Semnan Iran System Administrator Dibrugarh University Assam786004 India Rajaie Cardiovascular Medical and Research Center Iran University of Medical Sciences Tehran Iran Omid hospital Iran University of Medical Sciences Tehran Iran Institute for Computational Health Sciences University of California San Francisco United States Faculty of Electrical Engineering Gonabad Branch Islamic Azad University Gonabad Iran Institute for Physical Activity and Nutrition Deakin University Melbourne Australia Cardiovascular Division The George Institute for Global Health Australia Sydney Medical School University of Sydney Australia Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Department of Biomedical Engineering School of Science and Technology Singapore University of Social Sciences Singapore Department of Bioinformatics and Medical Engineering Asia University Taiwan

The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to prevent secondary infections and its spread from one person to another. Therefore, it is essential to use an automatic diagnosis system along with clinical procedures for the rapid diagnosis of COVID-19 to prevent its spread. Artificial intelligence techniques using computed tomography (CT) images of the lungs and chest radiography have the potential to obtain high diagnostic performance for Covid-19 diagnosis. In this study, a fusion of convolutional neural network (CNN), support vector machine (SVM), and Sobel filter is proposed to detect COVID-19 using X-ray images. A new X-ray image dataset was collected and subjected to high pass filter using a Sobel filter to obtain the edges of the images. Then these images are fed to CNN deep learning model followed by SVM classifier with ten-fold cross validation strategy. This method is designed so that it can learn with not many data. Our results show that the proposed CNN-SVM with Sobel filtering (CNN-SVM+Sobel) achieved the highest classification accuracy of 99.02% in accurate detection of COVID-19. It showed that using Sobel filter can improve the performance of CNN. Unlike most of the other researches, this method does not use a pre-trained network. We have also validated our developed model using six public databases and obtained the highest performance. Hence, our developed model is ready for clinical application. Copyright © 2021, The Authors. All rights reserved.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex (vol 21, pg 120, 2018)

引用

NATURE NEUROscience 2018年第7期21卷 1017-1017页

作者： Hrvatin, Sinisa Hochbaum, Daniel R. Nagy, M. Aurel Cicconet, Marcelo Robertson, Keiramarie Cheadle, Lucas Zilionis, Rapolas Ratner, Alex Borges-Monroy, Rebeca Klein, Allon M. Sabatini, Bernardo L. Greenberg, Michael E. Department of Neurobiology Harvard Medical School Boston MA USA Society of Fellows Harvard University Cambridge MA USA Department of Neurobiology Howard Hughes Medical Institute Harvard Medical School Boston MA USA Image and Data Analysis Core Harvard Medical School Boston MA USA Department of Systems Biology Harvard Medical School Boston MA USA Vilnius University Institute of Biotechnology Vilnius Lithuania ICCB-L Single Cell Core Harvard Medical School Boston MA USA Program for Bioinformatics and Integrative Genomics Graduate School of Arts and Science Division of Medical Sciences Harvard University Cambridge MA USA

Activity-dependent transcriptional responses shape cortical function. However, a comprehensive understanding of the diversity of these responses across the full range of cortical cell types, and how these changes contribute to neuronal plasticity and disease, is lacking. To investigate the breadth of transcriptional changes that occur across cell types in the mouse visual cortex after exposure to light, we applied high-throughput single-cell RNA sequencing. We identified significant and divergent transcriptional responses to stimulation in each of the 30 cell types characterized, thus revealing 611 stimulus-responsive genes. Excitatory pyramidal neurons exhibited inter- and intralaminar heterogeneity in the induction of stimulus-responsive genes. Non-neuronal cells showed clear transcriptional responses that may regulate experience-dependent changes in neurovascular coupling and myelination. Together, these results reveal the dynamic landscape of the stimulus-dependent transcriptional changes occurring across cell types in the visual cortex; these changes are probably critical for cortical function and may be sites of deregulation in developmental brain disorders.

关键词： Gene expression analysis Molecular neuroscience Oligodendrocyte Transcriptomics Visual system

来源：评论

学校读者我要写书评

暂无评论

Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences

arXiv

引用

arXiv 2025年

作者： Farrell, Gavin Adamidi, Eleni Buono, Rafael Andrade Anton, Mihail Attafi, Omar Abdelghani Gutierrez, Salvador Capella Capriotti, Emidio Castro, Leyla Jael Cirillo, Davide Crossman, Lisa Dessimoz, Christophe Dimopoulos, Alexandros Fernández-Díaz, Raúl Fragkouli, Styliani-Christina Goble, Carole Gu, Wei Hancock, John M. Khanteymoori, Alireza Lenaerts, Tom Liberante, Fabio G. Maccallum, Peter Monzon, Alexander Miguel Palmblad, Magnus Poveda, Lucy Radulescu, Ovidiu Shields, Denis C. Sufi, Shoaib Vergoulis, Thanasis Psomopoulos, Fotis Tosatto, Silvio C.E. Institute of Applied Biosciences Centre for Research and Technology Hellas Thessaloniki Greece 1Department of Biomedical Sciences University of Padova Padova35121 Italy Department of Biomedical Sciences University of Padova Via Ugo Bassi 58/B Padova35131 Italy Athena Research & Innovation Center Aigialias & Chalepa Marousi15125 Greece VIB Data Core VIB.AI Center for AI & Computational Biology Technologiepark-Zwijnaarde 75 Ghent9052 Belgium ELIXIR Europe Hub EMBL-EBI South Building Wellcome Genome HinxtonCB10 1SD United Kingdom Plaça Eusebi Güell 1-3 Barcelona08034 Spain Department of Pharmacy and Biotechnology University of Bologna Bologna40126 Italy Computational Genomics Platform IRCCS University Hospital of Bologna Bologna40138 Italy ZB MED Information Centre for Life Sciences Gleueler Straße 60 Cologne50931 Germany SequenceAnalysis.co.uk United Kingdom University of East Anglia Research Park NorwichNR4 7TJ United Kingdom Department of Computational Biology University of Lausanne Genopode 2024.3 Lausanne1015 Switzerland Swiss Institute of Bioinformatics Amphipôle Quartier UNIL-Sorge Lausanne1015 Switzerland Institute for Fundamental Biomedical Science Biomedical Sciences Research Center Alexander Fleming Vari Greece Department of Informatics & Telematics School of Digital Technology Harokopio University Athens Greece School of Medicine University College Dublin Belfield Dublin 4 Ireland Conway Institute of Biomolecular and Biomedical Research University College Dublin Belfield Dublin 4 Ireland IBM Research Dublin DublinD15 HN66 Ireland Institute of Applied Biosciences Centre for Research and Technology Hellas Thessaloniki57001 Greece Department of Biology National & Kapodistrian University of Athens Athens15772 Greece Department of Computer Science University of Manchester Oxford Road ManchesterM19 3PL United Kingdom Luxembourg National Data Service 6 avenue des Hauts-Fourneaux Esch-sur-AlzetteL-4362 Luxembourg Insti

Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an unprecedented capacity, with novel applications and advances being made almost daily. In order to maximise return on the growing investments in AI-based life science research and accelerate this progress, it has become urgent to address the exacerbation of long-standing research challenges arising from the rapid adoption of AI methods. We review the increased erosion of trust in AI research outputs, driven by the issues of poor reusability and reproducibility, and highlight their consequent impact on environmental sustainability. Furthermore, we discuss the fragmented components of the AI ecosystem and lack of guiding pathways to best support Open and Sustainable AI (OSAI) model development. In response, this perspective introduces a practical set of OSAI recommendations directly mapped to over 300 components of the AI ecosystem. Our work connects researchers with relevant AI resources, facilitating the implementation of sustainable, reusable and transparent AI. Built upon life science community consensus and aligned to existing efforts, the outputs of this perspective are designed to aid the future development of policy and structured pathways for guiding AI *** Codes 92 © 2025, CC BY-NC-ND.

关键词： Reusability

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：