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Correction to: Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective

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The AAPS journal 2020年第1期23卷 6页

作者： Arian Emami Riedmaier Kevin DeMent James Huckle Phil Bransford Cordula Stillhart Richard Lloyd Ravindra Alluri Sumit Basu Yuan Chen Varsha Dhamankar Stephanie Dodd Priyanka Kulkarni Andrés Olivares-Morales Chi-Chi Peng Xavier Pepin Xiaojun Ren Thuy Tran Christophe Tistaert Tycho Heimbach Filippos Kesisoglou Christian Wagner Neil Parrott DMPK and Translational Modeling AbbVie Inc. North Chicago Illinois USA. arian.emamiriedmaier@***. Global DMPK Takeda Pharmaceutical Co. Ltd. San Diego California USA. Drug Product Technology Amgen Thousand Oaks California USA. Modeling & Informatics Vertex Pharmaceuticals Boston Massachusetts USA. Pharmaceutical R&D Formulation & Process Sciences F.Hoffmann-La Roche Ltd. Basel Switzerland. Computational & Modelling Sciences Platform Technology Sci-ences GlaxoSmithKline R&D Ware Hertfordshire UK. Clinical Pharmacology and Safety Sciences R&D AstraZeneca Cambridge UK. Pharmacokinetic Pharmacodynamic and Drug Metabolism-Quantitative Pharmacology and Pharmacometrics (PPDM-QP2)Merck & Co Inc. West Point Pennsylvania USA. Department of Drug Metabolism and Pharmacokinetics Genentech South San Francisco California USA. Formulation Development Vertex Pharmaceuticals Boston Massachusetts USA. Formulation Development Cyclerion Therapeu-tics Inc. Cambridge Massachusetts USA. Chemical & Pharmaceutical Profiling Novartis Institutes for Biomedical Research Cambridge Massachusetts USA. Department of Pharmacokinetics and Drug Metabolism AmgenInc Cambridge Massachusetts USA. Pharmaceutical Sciences Roche Pharmaceutical Research andEarly Development Roche Innovation Center Basel Switzerland. Drug Metabolism and Pharmacokinetics Theravance Biopharma South San Francisco California USA. New Modalities and Parenteral Development PharmaceuticalTechnology & Development Operations AstraZeneca Maccles-field UK. Modeling & Simulation PK Sciences Novartis Institutes of Biomedical Research East Hanover New Jersey USA. Computational & Modelling Sciences Platform Technology Sci-ences GlaxoSmithKline R&D Collegeville Pennsylvania USA. Pharmaceutical Sciences Janssen Research & Development Beerse Belgium. PBPK & Biopharmaceutics Novartis Institutes of Biomedical Research Wayne New Jersey USA. Pharmaceutical Sciences Merck & Co. Inc. Kenilworth New Jersey US

An Erratum to this paper has been published: https://***/10.1208/s12248-020-00535-z.

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Transcript expression-aware annotation improves rare variant interpretation (vol 581, pg 452, 2020)

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NATURE 2021年第7846期590卷 E54-E54页

作者： Cummings, Beryl B. Karczewski, Konrad J. Kosmicki, Jack A. Seaby, Eleanor G. Watts, Nicholas A. Singer-Berk, Moriel Mudge, Jonathan M. Karjalainen, Juha Satterstrom, F. Kyle O'Donnell-Luria, Anne H. Poterba, Timothy Seed, Cotton Solomonson, Matthew Alfoldi, Jessica Daly, Mark J. MacArthur, Daniel G. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Analytical and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA Program in Bioinformatics and Integrative Genomics Harvard Medical School Boston MA USA Genomic Informatics Group University Hospital Southampton Southampton UK Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA USA Division of Genetics and Genomics Boston Children’s Hospital Boston MA USA Department of Pediatrics Harvard Medical School Boston MA USA European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Genome Campus Hinxton Cambridge UK Center for Genomic Medicine Massachusetts General Hospital Boston MA USA Broad Genomics Broad Institute of MIT and Harvard Cambridge MA USA National Heart & Lung Institute and MRC London Institute of Medical Sciences Imperial College London London UK Cardiovascular Research Centre Royal Brompton & Harefield Hospitals NHS Trust London UK Cardiac Arrhythmia Service and Cardiovascular Research Center Massachusetts General Hospital Boston MA USA Estonian Genome Center Institute of Genomics University of Tartu Tartu Estonia Department of Medicine Harvard Medical School Boston MA USA Cardiac Arrhythmia Service Massachusetts General Hospital Boston MA USA Division of General Internal Medicine Massachusetts General Hospital Boston MA USA Institute for Molecular Medicine FIMM University of Helsinki Helsinki Finland Department of Public Health Faculty of Medicine University of Helsinki Helsinki Finland Department of Genetics Harvard Medical School Boston MA USA Data Sciences Platform Broad Institute of MIT and Harvard Cambridge MA USA Genomics Platform Broad Institute of MIT and Harvard Cambridge MA USA Wellcome Sanger Institute Hinxton Cambridgeshire UK Unidad de Investigaci

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HISTORY OF COAST-GUARD SURFACE EFFECT SHIP PERFORMANCE IMPROVEMENTS

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NAVAL ENGINEERS JOURNAL 1988年第3期100卷 237-250页

作者： LARIMER, G MCCOLLUM, J SCHAUB, B VANLIEW, D WHIPPLE, C Gary Larimer:received his B.S. (1974) and M.S. (1975) degrees in naval architecture and marine engineering from the University of Michigan. He has worked with the Bechtel Professional Corporation the David Taylor Naval Ship Research and Development Center and the United States Coast Guard. He is a member of SNAME ASNE ABYC and IMTI. He is the author of “Reaction Fin Applications In Marine Propulsion” which documented the use of asymmetric pre-swirl vanes to increase propulsion efficiency aboard a 41-ft Coast Guard utility boat. It was presented on 5 March 1987 at the Hampton Roads section of SNAME and was nominated for the section paper of the year award. CWO3 Joe Bobby McCollum USCG: iscurrently engineering officer of the Surface Effect Ship Division Seventh Coast Guard District Key West Florida. Prior to this assignment he was assistant engineering officer on the USCGCUte.His other duty tours included engineering assignments on theCape Currenta 95-foot patrol boat on the USCGCUnimak a 311-foot cutter CG Loran Station Upolo Point Hawaii and CG Station Sabine Pass Texas. CWO McCollum was responsible for modifying and repairing the SESs and contributed many unique problem solving ideas which resulted in much improved operation of the Coast Guard Surface Effect Ship Division. Benton H. Schaub:is a senior engineer with Maritime Dynamics Inc. He has a bachelor of science degree in naval architecture and marine engineering from the Massachusetts Institute of Technology. Mr. Schaub has fifteen years of experience working as a test engineer project engineer and design engineer on advanced marine vehicle projects and is a recognized authority in the areas of hull structure seal system and machinery design for surface effect ships. He has participated in virtually every USN SES design development and test evaluation program including: XR-5 XR-10 SES-100A SES-100A1 and the SES-200. He is currently responsible for performing detailed design and analysis in support of the seal system for the Germa

During the early 1980s the United States Coast Guard took delivery of three surface effect ships (SES) from Bell Halter, Inc. These 136-ton, 30-knot plus, aluminum hulled cutters were to be used primarily for drug interdiction in the southeastern United States. By early 1985, however, the full load weight of these cutters had grown to 150 long tons, and their top speed had dropped to below 23 knots in calm water. By mid-1985, operation of all three SESs was suspended to prevent possible catastrophic failure of their main engines. At this point, the USCG joined ranks with Textron Marine systems (then Bell Aerospace), and Detroit Diesel to analyze what had gone wrong, and to propose solutions to the problems encountered. From that beginning, the performance of the Coast Guard's SESs has steadily and dramatically improved until at present all three cutters are able to exceed their original performance specifications. This paper discusses the problems experienced with the SESs, including engine overloading, vibration, ride quality, seal wear, poor lift system performance, and metal cracking, along with the corrective actions taken to solve them. The cooperation between government and private industry, which made this dramatic turn-around in performance possible, is also explored. Lessons learned about SES technology are viewed in relation to the general experience of the Coast Guard with other types of high performance hull forms.

关键词： NAVAL VESSELS

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Correction to: Growth Factors and Neuroglobin in Astrocyte Protection Against Neurodegeneration and Oxidative Stress

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Molecular neurobiology 2019年第4期56卷 2352页

作者： Ricardo Cabezas Eliana Baez-Jurado Oscar Hidalgo-Lanussa Valentina Echeverria Ghulam Md Ashraf Amirhossein Sahebkar George E Barreto Departamento de Nutrición y Bioquímica Facultad de Ciencias Pontificia Universidad Javeriana Bogotá D.C. Colombia. Departamento de Ciencias Básicas Universidad Santo Tomás Bucaramanga Colombia. Facultad de Ciencias de la Salud Universidad San Sebastián Lientur 1457 4030000 Concepción Chile. Research and Development Bay Pines VA Healthcare System Bay Pines FL 33744 USA. King Fahd Medical Research Center King Abdulaziz University Jeddah Saudi Arabia. Neurogenic Inflammation Research Center Mashhad University of Medical Sciences Mashhad Iran. Biotechnology Research Center Pharmaceutical Technology Institute Mashhad University of Medical Sciences Mashhad Iran. School of Pharmacy Mashhad University of Medical Sciences Mashhad Iran. Departamento de Nutrición y Bioquímica Facultad de Ciencias Pontificia Universidad Javeriana Bogotá D.C. Colombia. gsampaio@javeriana.edu.co. Instituto de Ciencias Biomédicas Universidad Autónoma de Chile Santiago Chile. gsampaio@javeriana.edu.co.

The original version of this article unfortunately contained a typo error. The name of author "Ghulam Md Ashrad" should be written as "Ghulam Md Ashraf".

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Evaluating drug targets through human loss-of-function genetic variation (vol 581, pg 459, 2020)

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NATURE 2021年第7846期590卷 E56-E56页

作者： Minikel, Eric Vallabh Karczewski, Konrad J. Martin, Hilary C. Cummings, Beryl B. Whiffin, Nicola Rhodes, Daniel Alfoldi, Jessica Trembath, Richard C. van Heel, David A. Daly, Mark J. Schreiber, Stuart L. MacArthur, Daniel G. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA USA Chemical Biology and Therapeutics Science Program Broad Institute of MIT and Harvard Cambridge MA USA Analytical and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA Henry and Allison McCance Center for Brain Health Massachusetts General Hospital Boston MA USA Department of Neurology Massachusetts General Hospital Boston MA USA Prion Alliance Cambridge MA USA National Heart and Lung Institute and MRC London Institute of Medical Sciences Imperial College London London UK National Heart & Lung Institute and MRC London Institute of Medical Sciences Imperial College London London UK Cardiovascular Research Centre Royal Brompton & Harefield Hospitals NHS Trust London UK European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Genome Campus Hinxton Cambridge UK Center for Genomic Medicine Massachusetts General Hospital Boston MA USA Program in Bioinformatics and Integrative Genomics Harvard Medical School Boston MA USA Broad Genomics Broad Institute of MIT and Harvard Cambridge MA USA Division of Genetics and Genomics Boston Children’s Hospital Boston MA USA Department of Pediatrics Harvard Medical School Boston MA USA Cardiac Arrhythmia Service and Cardiovascular Research Center Massachusetts General Hospital Boston MA USA Estonian Genome Center Institute of Genomics University of Tartu Tartu Estonia Department of Medicine Harvard Medical School Boston MA USA Cardiac Arrhythmia Service Massachusetts General Hospital Boston MA USA Centre for Population Genomics Garvan Institute of Medical Research and UNSW Sydney Sydney Australia Centre for Population Genomics Murdoch Children’s Research Institute Melbourne Australia Divi

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The Deepwater Project - A sea of change for the USCoast Guard

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 125-131页

作者： Anderson, M Burton, D Palmquist, MS Watson, JM Lieutenant Commander Michael Anderson:serves as the Communications Director for the Coast Guard's Deepwater Project. He has an extensive background in electronic systems with previous work experience including–lead electronics design engineer for the Coast Guard's new HEALY icebreaker supervisor of west coast shipboard electronics projects and Commanding Officer of a regional electronics support command. LCdr. Anderson holds a BS degree in electrical engineering from the Coast Guard Academy MS degrees in electrical engineering and engineering management from Northeastern University and recently received an MS in the management of technology from MIT. Diane Burton:is Surface Technical Director for the U.S. Coast Guard Deepwater Project. Previously she worked as a senior Naval architect in the Hull Form and Hydrodynamics Division of the Naval Sea Systems Command. She has worked for several years on the hydrodynamics of a variety of ship classes with the U.S. Navy U.S. Coast Guard and NOAA. She was responsible for surface ship developments and small combatant stability updates which include the following tasks: Hull Form Design System (HFDS) upgrades Integrated Computation Design Environment Database development for NAVSEA's Hydrodynamics/Hydroacoustics Technology Center Cooperative Research Navies international program for the development for dynamic stability criteria and FFG/DDG class stability. She has a BSE and MSE from the University of Michigan in naval architecture and marine engineering and is presently pursuing a masters of engineering management from George Washington University specializing in systems engineering technology insertion and project management. Commander M. Steven Palmquist:is the Deepwater Project's Assistant Project Manager for C4ISR. A Registered Prokssional Engineer he received an MSEE from the Naval Postgraduate School in 1988. He did undergraduate work in naval architecture at the University of Michigan and is also a graduate of the National Test Pilot School's Avionics Tes

The United States Coast Guard has embarked on the most ambitious modernization and recapitalization project in the service's history. The Deepwater Capabilities Replacement Project, which is simply referred to as Deepwater, is unique in that it comprises the acquisition of an entire integrated "system-of-systems'': surface, air, (CISR)-I-4 (command, control, communications, computers, information, surveillance & reconnaissance), and logistics facilities. This "system of systems" approach will enable the Coast Guard to acquire the optimal mix of fully supportable assets, to effectively and efficiently perform all of its Deepwater missions well into the next century.

关键词： Naval warfare

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Near surface camera informed agricultural land monitoring for climate smart agriculture

Climate Smart Agriculture

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Climate Smart Agriculture 2024年第1期1卷

作者： Le Yu Zhenrong Du Xiyu Li Qiang Zhao Hui Wu Duoji weise Xinqun Yuan Yuanzheng Yang Wenhua Cai Weimin Song Pei Wang Zhicong Zhao Ying Long Yongguang Zhang Jinbang Peng Xiaoping Xin Fei Xu Miaogen Shen Hui Wang Yuanmei Jiao Yong Luo Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing China Ministry of Education Ecological Field Station for East Asian Migratory Birds Beijing China Tsinghua University (Department of Earth System Science)- Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping Beijing China School of Information and Communication Engineering Dalian University of Technology Dalian China Geothermal Geological Brigade Tibet Autonomous Region Geological and Mineral Exploration and Development Bureau Lhasa China International Department Beijing No. 35 High School Beijing China Key Laboratory of Environment Change and Resources Use in Beibu Gulf Ministry of Education Nanning Normal University Nanning China Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning China Key Laboratory of Coastal Environmental Processes and Ecological Restoration Yantai Institute of Coastal Zone Research Chinese Academy of Sciences Yantai China Yellow River Delta Field Observation and Research Station of Coastal Wetland Ecosystem Chinese Academy of Sciences Dongying China Department of Landscape Architecture School of Architecture Tsinghua University Beijing China Institute for National Parks Tsinghua University Beijing China School of Architecture and Hang Lung Center for Real Estate Key Laboratory of Eco Planning & Green Building Ministry of Education Tsinghua University Beijing China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing Univer

Continuous and accurate monitoring of agricultural landscapes is crucial for understanding crop phenology and responding to climatic and anthropogenic changes. However, the widely used optical satellite remote sensing is limited by revisit cycles and weather conditions, leading to gaps in agricultural monitoring. To address these limitations, we designed and deployed a Near Surface Camera (NSCam) Network across China, and explored its application in agricultural land monitoring and achieving climate-smart agriculture (CSA). By analyzing the image data captured by the NSCam Network, we can accurately assess long-term or abrupt agricultural land changes. According to the preliminary monitoring results, integrating NSCam data with remote sensing imagery greatly enhances the temporal details and accuracy of agricultural monitoring, aiding agricultural managers in making informed decisions. The impacts of abnormal weather conditions and human activities on agricultural land, which are not captured by remote sensing imagery, can be complemented by incorporating our NSCam Network. The successful implementation of this method underscores its potential for broader application in CSA, promoting resilient and sustainable agricultural practices.

关键词： Near surface camera (NSCam) Climate-smart agriculture (CSA) Agricultural monitoring Data fusion Sentinel-2

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COMPUTER AIDS FOR SHIP DESIGN, INTEGRATION AND CONTROL

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NAVAL ENGINEERS JOURNAL 1980年第2期92卷 73-87页

作者： CARLSON, CM JOHNSON, RA HELMING, FW Mr. Craig M. Carlson received his B.S. degree in Naval Architecture and Marine Engineering from the University of Michigan in 1970 and began his career with the Department of the Navy at the Naval Ship Engineering Center (NAVSEC). In 1972. he returned to the University of Michigan under the NAVSEC Long Term Training Program and received his M.S. degree in Naval Architecture and Marine Engineering. After returning to the Ship Arrangements Branch at NAVSEC. he was assigned as Task Leader for General Arrangements for the PGG PCG PHM. and MCM ship designs and was awarded Outstanding Performance Awards in 1974 and 1975. In addition he was Manager of the Arrangement Subsystem of the Navy's Computer-Aided Ship Design and Construction Program (CASDAC). In October 1979. he became Manager of the CASDAC Hull Design System. Currently. he also is enrolled in the M.S. of Computer Science Program at Johns Hopkins University. Mr. Carlson previously has presented technical papers at ASNE Day 1974 and 1978 as well as at the 1979 DOD Manufacturing Technology Advisory Group Conference. Besides ASNE. which he joined in 1972. he is a member of SNAME. ASE. and the U.S. Naval Institute. Mr. Robert A. Johnson is a Naval Architect in Surface Combatants Design (SEA 03D3). Ship Design Integration Directorate Naval Sea Systems Command. He received an Associate in Engineering degree in Drafting and Design Technology in 1959. his B.S. degree in Aerospace Engineering in 1965. and his M.S. degree in Engineering Mechanics in 1970. all from the Pennsylvania State University. In 1973. he was selected for the NA VSEC Hull Division s Long Term Training Program at the University of Michigan subsequently receiving his M.S.E. degree in Naval Architecture in 1974. Mr. Johnson began his career with the Ordnance Research Laboratory at Pennsylvania State University in 1959 where he worked. on the design of hydroelastic submarine models and conducted research in the area of flow induced structural vibrations. In 1967 he joined HRB-Singer at State Colle

This paper presents an integrated approach to Computer-Aided Ship Design for U.S. Navy preliminary and contract design. An integrated Hull Design system (HDS), currently under development by the Hull Group of the Naval Sea systems Command (NAVSEA 32). is the vehicle for the discussion. This paper is directed toward practicing ship design professionals and the managers of the ship design process. Primary emphasis of this paper, and of the development effort currently under way, is on aiding ship design professionals in their work. Focus is on integration and management control of the extremely complex set of processes which make up naval ship design. The terminology of the Ship Designer and Design Manager is used. The reader needs no familiarity with the technologies of computer science.

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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Abstracts from the 6th International Conference on the Engineering of Sport, 10-14 July 2006, Olympic Hall, Munich, Germany Abstracts

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SPORTS ENGINEERING 2006年第2期9卷 107-127页

作者： [Anonymous] University of Massachusetts Lowell USA Science & Mathematics Department Kettering University Flint USA University of Illinois USA Western Michigan University USA Washington State University USA Casecade Engine USA Kanazawa University Japan Sumitomo Light Metal Japan Massachusetts Institute of Technology USA Nanyang Technological University Bioengineering Singapore University of Vienna Anthropology Austria Department of Mechanical Engineering University of Bath UK INSA Lyon France PETZL France Sports Materials Research Group University of Birmingham UK Laboratoire de Modélisation des Activités Sportives Bourget du Lac France Technical University Kaiserslautern Germany Department of Engineering Mechanics United States Air Force Academy Colorado Springs USA SRAM Corporation Colorado Springs USA Sports Engineering Research Group University of Sheffield UK Sports Engineering CSES Sheffield Hallam University USA Sports Engineering CSES Sheffield Hallam University UK Technische Universität München Germany Rush University Medical Center Chicago USA Faculty of Sports Science Department of Sport Equipment & Materials TU München Germany RMIT University Australia Institute of Health and Sports Sciences University of Tsukuba Ibaraki Japan Machine and Control Department Polytechnic University Kanagawa Japan SRI Sports Ltd. Hyogo Japan SRI Research and Development Ltd. Hyogo Japan Mizuno Corporation Osaka Japan Fukuoka Institute of Technology Fukuoka Japan University of Limerick Éire Graduate School of Engineering Hokkaido University Japan Faculty of Engineering Kitami Institute of Technology Japan University of Calgary Canada TaylorMade-adidas Golf Company USA Davis Mechanical Engineering University of California USA Davis Mechanical & Aeronautical Engineering University of California USA University of Wales Institute Cardiff Cardiff School of Sport UWIC Cardiff Cardiff School of Sport UWIC Wales Loughborough University UK Cranfield University UK Cr

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