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Frontiers in Education (FIE) Conference

作者： Evelia Y. Salinas Adrienne E. Williams Christine E. King Biomedical Engineering Department University of California - Irvine Irvine California Division of Teaching and Learning Research Center University of California - Irvine Irvine California

ISBN: (数字)9781728117461

ISBN: (纸本)9781728117478

This study assesses whether students perform better in an introductory programming course if they are placed in groups with people of the same or varying programming aptitude. Although the push for teaching code in U.S K-12 classrooms is growing, students arrive to college with a variety of coding experience because only not all schools include coding in their curriculum. Understanding what makes a group productive and efficient is important as the use of active-learning pedagogies across college classrooms grows. The studies presented here aim to 1) predict how well a student will perform in an introductory programming course based on a pre-assessment administered at the beginning of the course and 2) determine whether students perform better in an introductory programming course if they participate in team based projects with people of the same or varying programming aptitude. During the first week of class, students were administered a pre-assessment. Their score determined individual student programming aptitude. Students were assigned to groups based on their performance, where control groups consisted of students who only scored as high programming aptitude or only scored low programming aptitude, and experimental teams consisted of a mix of both. Evidence was found to indicate that the group formation pre-assessment was a good indicator of programming aptitude. It was also found that when completing individual tasks, students who were placed in groups with students of varying programming aptitude outperformed those who were placed in groups with students of the same programming aptitude. The positive findings and their effect on students' abilities to learn a programming language demonstrated that the technique of a short assessment and assigned groups may become an important tool to create more effective groups in large introductory programming courses. Although further testing is required, this technique may shape the future of group formation in large prog

关键词： Encoding Programming profession Biomedical engineering Cognition Employment Education

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf Md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

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Methods and outcomes of the NSF project on synthesizing environments for digitally-mediated team learning 126

Methods and outcomes of the NSF project on synthesizing envi...

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126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019

作者： DeMara, Ronald F. Campbell, Laurie O. Hartshorne, Richard Dagley, Melissa A. Spiegel, Sam Tian, Tian Tian Chen, Zhongzhou Donnelly, Julie Tatulian, Adrian Hernandez, Florencio Eloy Sheikhfaal, Shadi Pourmeidani, Hossein Esteves, Hans Beck, Joseph E. Gibson, Tara University of Central Florida United States Colorado School of Mines United States Department of Chemistry Karen L. Smith Faculty Center for Teaching and Learning University of Central Florida United States Department of Electrical and Computer Engineering Department of Learning Sciences and Educational Research Department of Physics Center for Initiatives in Science Technology Engineering and Mathematics Department of Chemistry Department of Mechanical and Aerospace Engineering Division of Digital Learning University of Central Florida OrlandoFL32816 United States Trefny Innovative Instruction Center University of Colorado Mines GoldenCO80401 United States Department of Computer Science Worcester Polytechnic Institute WorcesterMA01609 United States

This poster paper describes the authors' single-year National Science Foundation (NSF) project DRL-1825007 titled, "DCL: Synthesis and Design Workshop on Digitally-Mediated Team learning" which has been conducted as one of nine awards within NSF-18-017: Principles for the Design of Digital STEM learning Environments. Beginning in September 2018, the project conducted the activities herein to deliver a three-day workshop on Digitally-Mediated Team learning (DMTL) to convene, invigorate, and task interdisciplinary science and engineering researchers, developers, and educators to coalesce the leading strategies for digital team learning. The deliverable of the workshop is a White Paper composed to identify one-year, three-year, and five-year research and practice roadmaps for highly-adaptable environments for computer-supported collaborative learning within STEM curricula. As subject to the chronology of events, highlights of the White Paper's outcomes will be showcased within the poster itself. Collaborations during this workshop identified near-term and future research directions to facilitate adaptable digital environments for highly-effective, rewarding, and scalable team-based learning. An emphasis of the workshop included the personalization of collaborations among diverse learners by automating the identification and utilization of learners' efficacies and knowledge gaps to create complementary collaborative teams that maximize avenues for peer teaching and learning. The workshop targeted the utilization and efficacy of next-generation learning architectures through a focus on instructional technologies that facilitate digitally-mediated team-based learning. These included technical objectives of: (1) identifying new research in learning analytics required to automate more optimal composition, formation, and adaptation of learner design teams;(2) detecting advances in physical and virtual learning environments that can achieve more effective and scalable observa

关键词： Curricula

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Global, regional, and national burden of asthma and atopic dermatitis, 1990–2021, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

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The Lancet Respiratory Medicine 2025年第5期13卷 425-446页

作者： Oh, Jiyeon Kim, Soeun Kim, Min Seo Abate, Yohannes Habtegiorgis Abd ElHafeez, Samar Abdelkader, Atef Abdi, Parsa Abdulah, Deldar Morad Aboagye, Richard Gyan Abolhassani, Hassan Abtahi, Dariush Abualruz, Hasan Abu-Gharbieh, Eman Aburuz, Salahdein Adane, Mesafint Molla Addo, Isaac Yeboah Adeleke, Olumide Thomas Aden, Bashir Adnani, Qorinah Estiningtyas Sakilah Adra, Saryia Afzal, Muhammad Sohail Ahmad, Sajjad Ahmad, Tauseef Ahmadi, Ali Ahmed, Syed Anees Al Awaidy, Salah Al Bakour, Mohamad Anas Alam, Khurshid Albashtawy, Mohammed Al-Eyadhy, Ayman Al-Gheethi, Adel Ali Saeed Alhalaiqa, Fadwa Naji Ali, Syed Shujait Ali, Waad Alif, Sheikh Mohammad Al-Jabi, Samah W. Alqahtani, Jaber S. AlQudah, Mohammad Alrawashdeh, Ahmad Alshahrani, Najim Z. Altaany, Zaid Altaf, Awais Al-Tammemi, Alaa B. Altirkawi, Khalid A. Alvis-Guzman, Nelson Alwafi, Hassan Al-Wardat, Mohammad Al-Worafi, Yaser Mohammed Aly, Hany Alyahya, Mohammad Sharif Ibrahim Alzoubi, Karem H. Amusa, Ganiyu Adeniyi Ansar, Adnan Anuoluwa, Boluwatife Stephen Anuoluwa, Iyadunni Adesola Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Asghari-Jafarabadi, Mohammad Ashraf, Tahira Athari, Seyyed Shamsadin Aujayeb, Avinash Ayana, Lemessa Assefa A. Aziz, Shahkaar Azzam, Ahmed Y. Barqawi, Hiba Jawdat Barrow, Amadou Bastan, Mohammad-Mahdi Batra, Kavita Behera, Priyamadhaba Behzadi, Payam Bell, Michelle L. Beneke, Alice A. Berhie, Alemshet Yirga Beyene, Kebede A. Bhattacharjee, Priyadarshini Bhatti, Jasvinder Singh Bolarinwa, Obasanjo Afolabi Bouaoud, Souad Bustanji, Yasser Butt, Nadeem Shafique Camargos, Paulo Cámera, Luis Alberto Carugno, Andrea Cenderadewi, Muthia Cerrai, Sonia Chakraborty, Sandip Chan, Jeffrey Shi Kai Chandika, Rama Mohan Chattu, Vijay Kumar Chaudhary, Anis Ahmad Cheng, Esther T. W. Chichagi, Fatemeh Chimoriya, Ritesh Ching, Patrick R. Chirinos-Caceres, Jesus Lorenzo Chong, Yuen Yu Chopra, Hitesh Chu, Dinh-Toi Corlateanu, Alexandru Cruz-Martins, Natalia da Silva, Alanna Gomes Dababo, Nour Dadras, Omid Dai, Xiaochen Damiani Department of Medicine Kyung Hee University College of Medicine Seoul South Korea Center for Digital Health Kyung Hee University College of Medicine Seoul South Korea Broad Institute of MIT and Harvard Cambridge MA United States Massachusetts General Hospital Boston MA United States Department of Clinical Governance and Quality Improvement Aleta Wondo General Hospital Aleta Wondo Ethiopia Department of Epidemiology Alexandria University Alexandria Egypt Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St John's NL Canada Community and Maternity Nursing Unit University of Duhok Duhok Iraq Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institute Stockholm Sweden Department of Anesthesiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Nursing Al Zaytoonah University of Jordan Amman Jordan Department of Clinical Sciences Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan College of Pharmacy University of Jordan Amman Jordan Department of Pharmacology and Therapeutics Al Ain United Arab Emirates College of Medicine and Health Sciences Bahir Dar University Bahir Dar Ethiopia School of Medicine University of Sydney Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Department of Family Medicine Bowen University Iwo Nigeria Bowen University Teaching Hospital Ogbomoso Nigeria United Arab Emirates University Al Ain United Arab Emirates Institute of Public Health Walden University Al Ain United Arab Emirates Department of Public Health Padjadjaran University (Universitas Padjadjaran) Bandung Indonesia Clinical Sciences Department Sharjah United Arab Emirates Department

Background: Asthma and atopic dermatitis are common allergic conditions that contribute to substantial health loss, economic burden, and pain across individuals of all ages worldwide. Therefore, as a component of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we present updated estimates of the prevalence, disability-adjusted life-years (DALYs), incidence, and deaths due to asthma and atopic dermatitis and the burden attributable to modifiable risk factors, with forecasted prevalence up to 2050. Methods: Asthma and atopic dermatitis prevalence, incidence, DALYs, and mortality, with corresponding 95% uncertainty intervals (UIs), were estimated for 204 countries and territories from 1990 to 2021. A systematic review identified data from 389 sources for asthma and 316 for atopic dermatitis, which were further pooled using the Bayesian meta-regression tool. We also described the age-standardised DALY rates of asthma attributable to four modifiable risk factors: high BMI, occupational asthmagens, smoking, and nitrogen dioxide pollution. Furthermore, as a secondary analysis, prevalence was forecasted to 2050 using the Socio-demographic Index (SDI), air pollution, and smoking as predictors for asthma and atopic dermatitis. To assess trends in the burden of asthma and atopic dermatitis before (2010–19) and during (2019–21) the COVID-19 pandemic, we compared their average annual percentage changes (AAPCs). Findings: In 2021, there were an estimated 260 million (95% UI 227–298) individuals with asthma and 129 million (124–134) individuals with atopic dermatitis worldwide. Asthma cases declined from 287 million (250–331) in 1990 to 238 million (209–272) in 2005 but increased to 260 million in 2021. Atopic dermatitis cases consistently rose from 107 million (103–112) in 1990 to 129 million (124–134) in 2021. However, age-standardised prevalence rates decreased—by 40·0% (from 5568·3 per 100 000 to 3340·1 per 100 000) for asthma and 8·3% (from 1885·4

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The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

arXiv

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arXiv 2023年

作者： Kofler, Florian Steinbauer, Felix Meissen, Felix Graf, Robert Ehrlich, Stefan K. Reinke, Annika Oswald, Eva Waldmannstetter, Diana Hoelzl, Florian Horvath, Izabela Turgut, Oezguen Shit, Suprosanna Bukas, Christina Yang, Kaiyuan Paetzold, Johannes C. de da Rosa, Ezequiel Mekki, Isra Vinayahalingam, Shankeeth Kassem, Hasan Zhang, Juexin Chen, Ke Weng, Ying Durrer, Alicia Cattin, Philippe C. Wolleb, Julia Sadique, M.S. Rahman, M.M. Farzana, W. Temtam, A. Iftekharuddin, K.M. Adewole, Maruf Anwar, Syed Muhammad Baid, Ujjwal Janas, Anastasia Kazerooni, Anahita Fathi LaBella, Dominic Bran Li, Hongwei Moawad, Ahmed W. Conte, Gian-Marco Farahani, Keyvan Eddy, James Sheller, Micah Pati, Sarthak Karagyris, Alexandros Aristizabal, Alejandro Bergquist, Timothy Chung, Verena Shinohara, Russell Takeshi Dako, Farouk Wiggins, Walter Reitman, Zachary Wang, Chunhao Liu, Xinyang Jiang, Zhifan Johanson, Elaine Meier, Zeke Familiar, Ariana Davatzikos, Christos Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Colen, Rivka R. Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-André Mahajan, Abhishek Mohan, Suyash Mongan, John Hess, Christopher Cha, Soonmee Villanueva-Meyer, Javier Colak, Errol Crivellaro, Priscila Jakab, Andras Fatade, Abiodun Omidiji, Olubukola Akinola Lagos, Rachel Olatunji, O.O. Khanna, Goldey Kirkpatrick, John Alonso-Basanta, Michelle Rashid, Arif Bornhorst, Miriam Nabavizadeh, Ali Lepore, Natasha Palmer, Joshua Porras, Antonio Albrecht, Jake Anazodo, Udunna Aboian, Mariam Calabrese, Evan Rudie, Jeffrey David Linguraru, Marius George Iglesias, Juan Eugenio Van Leemput, Koen Bakas, Spyridon Wiestler, Benedikt Ezhov, Ivan Piraud, Marie Menze, Bjoern H. Helmholtz AI Germany Technical University of Munich Germany Helmholtz Munich Germany Klinikum Rechts der Isar Munich Germany SETLabs Research GmbH Healthcare Technologies Munich Germany Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Institute of Clinical Neuroimmunology Faculty of Medicine Ludwig Maximilian University Munich Germany University of Zurich Switzerland Helmholtz Research Center Munich Germany Imperial College London United Kingdom Icometrix Leuven Belgium Department of Oral and Maxillofacial Surgery Radboudumc Netherlands Department of Artificial Intelligence Radboud University Netherlands MLCommons University of Nottingham Ningbo China Ningbo315100 China Center for medical Image Analysis and Navigation Department of Biomedical Engineering University of Basel Allschwil Switzerland Old Dominion University NorfolkVA23529 United States Lab Crestview Radiology Lagos Nigeria Children's National Hospital WashingtonDC United States George Washington University WashingtonDC United States University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Yale University New HavenCT United States Children's Hospital of Philadelphia University of Pennsylvania PhiladelphiaPA United States Duke University Medical Center Department of Radiation Oncology United States Athinoula A Martinos Center for Biomedical Imaging Massachusetts General Hospital BostonMA United States Department of Neuroradiology Technical University of Munich Munich Germany Mercy Catholic Medical Center DarbyPA United States Department of Radiology Mayo Clinic RochesterMN United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 U

A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This poses problems, as many algorithms are designed to analyze healthy brains and provide no guarantee for images featuring lesions. Examples include but are not limited to algorithms for brain anatomy parcellation, tissue segmentation, and brain extraction. To solve this dilemma, we introduce the BraTS inpainting challenge. Here, the participants explore inpainting techniques to synthesize healthy brain scans from lesioned ones. The following manuscript contains the task formulation, dataset, and submission procedure. Later, it will be updated to summarize the findings of the challenge. The challenge is organized as part of the ASNR-BraTS MICCAI challenge. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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P226 Disability in Crohn’s Disease Patients at diagnosis: Findings from the CROCO (Crohn´s Disease Cohort) study

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Journal of Crohn's and Colitis 2024年第SUPPLEMENT_1期18卷 i557–i558页

作者： Revés, J CROCO Study Group Roager Madsen, G Burisch, J Wong, C Arebi, N Bonnet-Dodel, M Buisson, A Gatt, K Ellul, P Vieujean, S Ordas, I Duricova, D Rodríguez-Lago, I Sebastian, S Mocanu, I Kaimakliotis, I Goldis, A Hernandez, V Nachury, M Fumery, M Alloca, M Pedersen, N Barberio, B Guedes, A Ribeiro, R Ungaro, R Mary, J Y Bigot, N Lambert, J Colombel, J F Torres, J Hospital Beatriz Ângelo Department of Gastroenterology Loures Portugal Copenhagen University Hospital - Amager and Hvidovre Gastrounit Medical Division Copenhagen Denmark St Mark's National Hospital Department of IBD London United Kingdom CHU Clermont - Ferrand IBD Unit Clermont-Ferrand France Mater Dei Hospital Division of Gastroenterology Msida Malta University Hospital CHU of Liège Hepato-Gastroenterology and Digestive Oncology Liège Belgium Hospital Clinic Barcelona IDIBAPS- CIBER-EHD IBD Unit- Department of Gastroenterology Barcelona Spain ISCARE a.s. IBD Clinical and Research Centre Prague Czech Republic Hospital Universitario de Galdakao Department of Gastroenterology Galdakao Spain Hull University Teaching Hospitals IBD Research Unit- Department of Gastroenterology Hull United Kingdom Hospital Garcia d'Orta Department of Gastroenterology Almada Portugal American Gastroenterology Center Department of Gastroenterology Nicosia Cyprus Algomed Policlinic Department of Gastroenterology Timisoara Romania Hospital Alvaro Cunqueiro Department of Gastroenterology Vigo Spain Instituto de Investigacion Sanitaria Galicia Sur Instituto de Investigacion Sanitaria Galicia Sur Vigo Spain Univ. Lille- Inserm- CHU Lille- U1286 INFINITE - Institute for Translational Research in Inflammation- F-59000 Lille France CHU Amiens-Picardie Department of Gastroenterology Amiens France IRCCS OSPEDALE San Raffaele Gastroenterology and Endoscopy- IBD Center Milan Italy Slagelse Hospital Department of Gastroenterology Slagelse Denmark University of Padua Division of Gastroenterology- Department of Surgery- Oncology and Gastroenterology Padua Italy Hospital da Luz Learning Health Investigation Center Lisbon Portugal Mount Sinai Hospital Department of Gastroenterology New York United States Centre of Research in Epidemiology and Statistics- UMR 1153- Inserm ECSTRRA Unit Paris France Hospital da Luz Division of Gastroenterology Lisbon Portugal

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Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

arXiv

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arXiv 2024年

作者： LaBella, Dominic Baid, Ujjwal Khanna, Omaditya McBurney-Lin, Shan McLean, Ryan Nedelec, Pierre Rashid, Arif Tahon, Nourel Hoda Altes, Talissa Bhalerao, Radhika Dhemesh, Yaseen Godfrey, Devon Hilal, Fathi Floyd, Scott Janas, Anastasia Kazerooni, Anahita Fathi Kirkpatrick, John Kent, Collin Kofler, Florian Leu, Kevin Maleki, Nazanin Menze, Bjoern Pajot, Maxence Reitman, Zachary J. Rudie, Jeffrey D. Saluja, Rachit Velichko, Yury Wang, Chunhao Warman, Pranav Adewole, Maruf Albrecht, Jake Anazodo, Udunna Anwar, Syed Muhammad Bergquist, Timothy Chen, Sully Francis Chung, Verena Chai, Rong Conte, Gian-Marco Dako, Farouk Eddy, James Ezhov, Ivan Khalili, Nastaran Iglesias, Juan Eugenio Jiang, Zhifan Johanson, Elaine Van Leemput, Koen Li, Hongwei Bran Linguraru, Marius George Liu, Xinyang Mahtabfar, Aria Meier, Zeke Moawad, Ahmed W. Mongan, John Piraud, Marie Shinohara, Russell Takeshi Wiggins, Walter F. Abayazeed, Aly H. Akinola, Rachel Jakab, András Bilello, Michel de Verdier, Maria Correia Crivellaro, Priscila Davatzikos, Christos Farahani, Keyvan Freymann, John Hess, Christopher Huang, Raymond Lohmann, Philipp Moassefi, Mana Pease, Matthew W. Vollmuth, Phillipp Sollmann, Nico Diffley, David Nandolia, Khanak K. Warren, Daniel I. Hussain, Ali Fehringer, Pascal Bronstein, Yulia Deptula, Lisa Stein, Evan G. Taherzadeh, Mahsa de Oliveira, Eduardo Portela Haughey, Aoife Kontzialis, Marinos Saba, Luca Turner, Benjamin Brüßeler, Melanie M.T. Ansari, Shehbaz Gkampenis, Athanasios Weiss, David Maximilian Mansour, Aya Shawali, Islam H. Yordanov, Nikolay Stein, Joel M. Hourani, Roula Moshebah, Mohammed Yahya Abouelatta, Ahmed Magdy Rizvi, Tanvir Willms, Klara Martin, Dann C. Okar, Abdullah D’Anna, Gennaro Taha, Ahmed Sharifi, Yasaman Faghani, Shahriar Kite, Dominic Pinho, Marco Haider, Muhammad Ammar Aristizabal, Alejandro Karargyris, Alexandros Kassem, Hasan Pati, Sarthak Sheller, Micah Alonso-Basanta, Michelle Villanueva-Meyer, Javier Rauschecker, Andreas M. Nada, Ayman Aboian, Mariam Flanders, Adam E. Wiestler, Benedikt Bakas, Duke University Medical Center Department of Radiation Oncology DurhamNC United States Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Center for Federated Learning in Medicine Indiana University IndianapolisIN United States Department of Neurosurgery Thomas Jefferson University PhiladelphiaPA United States University of California San FranciscoCA United States Yale University New HavenCT United States Department of Radiation Oncology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States University of Missouri ColumbiaMO United States Children’s Hospital of Philadelphia University of Pennsylvania PhiladelphiaPA United States University of Pennsylvania PhiladelphiaPA United States Helmholtz AI Helmholtz Munich Germany Department of Informatics Technical University Munich Germany TranslaTUM - Central Institute for Translational Cancer Research Technical University of Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Germany San FranciscoCA United States Biomedical Image Analysis and Machine Learning Department of Quantitative Biomedicine University of Zurich Switzerland Department of Neuroradiology Technical University of Munich Munich Germany University of San Diego CA United States Cornell University IthacaNY United States Department of Radiology Northwestern University EvanstonIL United States Duke University Medical Center School of Medicine DurhamNC United States Lab Crestview Radiology Lagos Nigeria Sage Bionetworks United States McGill University MontrealQC Canada Children’s National Hospital WashingtonDC United States George Washington University WashingtonDC United States Mayo Clinic RochesterMN United States Center for Global Health Perelman School of Medicine University of Pennsylvani

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in that it focused on meningiomas, which are typically benign extra-axial tumors with diverse radiologic and anatomical presentation and a propensity for multiplicity. Nine participating teams each developed deep-learning automated segmentation models using image data from the largest multi-institutional systematically expert annotated multilabel multi-sequence meningioma MRI dataset to date, which included 1000 training set cases, 141 validation set cases, and 283 hidden test set cases. Each case included T2, FLAIR, T1, and T1Gd brain MRI sequences with associated tumor compartment labels delineating enhancing tumor, non-enhancing tumor, and surrounding non-enhancing FLAIR hyperintensity. Participant automated segmentation models were evaluated and ranked based on a scoring system evaluating lesion-wise metrics including dice similarity coefficient (DSC) and 95% Hausdorff Distance. The top ranked team had a lesion-wise median dice similarity coefficient (DSC) of 0.976, 0.976, and 0.964 for enhancing tumor, tumor core, and whole tumor, respectively and a corresponding average DSC of 0.899, 0.904, and 0.871, respectively. These results serve as state-of-the-art benchmarks for future pre-operative meningioma automated segmentation algorithms. Additionally, we found that 1286 of 1424 cases (90.3%) had at least 1 compartment voxel abutting the edge of the skull-stripped image edge, which requires further investigation into optimal pre-processing face anonymization steps. © 2024, CC BY.

关键词： Deep learning

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DOP05 Bowel damage and its correlation with the disability index in patients with recently diagnosed Crohn´s Disease

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Journal of Crohn's and Colitis 2024年第SUPPLEMENT_1期18卷 i79-i80页

作者： Revés, J CROCO Study Group Roager Madsen, G Burisch, J Wong, C Arebi, N Bonnet-Dodel, M Buisson, A Gatt, K Ellul, P Vieujean, S Ordas, I Duricova, D Rodríguez-Lago, I Sebastian, S Mocanu, I Kaimakliotis, I Goldis, A Hernandez, V Nachury, M Fumery, M Alloca, M Pedersen, N Barberio, B Guedes, A Ribeiro, R Ungaro, R Mary, J Y Bigot, N Lambert, J Colombel, J F Torres, J Hospital Beatriz Ângelo Department of Gastroenterology Loures Portugal Copenhagen University Hospital - Amager and Hvidovre Gastrounit medical division Copenhagen Denmark St Mark's National Hospital Department of IBD London United Kingdom CHU Clermont-Ferrand IBD Unit Clermont-Ferrand France Mater Dei Hospital Division of Gastroenterology Msida Malta University Hospital CHU of Liège Hepato-Gastroenterology and Digestive Oncology Liège Belgium Hospital Clinic Barcelona IDIBAPS- CIBER-EHD IBD Unit- Department of Gastroenterology- Barcelona Spain ISCARE a.s. IBD Clinic and Research Centre Prague Czech Republic Hospital Universitario de Galdakao Department of Gastroenterology Galdakao Spain Hull University Teaching Hospitals IBD Research Unit- Department of Gastroenterology Hull United Kingdom Hospital Garcia D'Orta Department of Gastroenterology Almada Portugal American Gastroenterology Center Department of Gastroenterology and Hepatology Nicosia Cyprus Algomed Policlinic Department of Gastroenterology Timisoara Romania Hospital Alvaro Cunqueiro Department of Gastroenterology Vigo Spain Instituto de Investigacion Sanitaria Galicia Sur Instituto de Investigacion Sanitaria Galicia Sur Vigo Spain Univ. Lille- Inserm- CHU Lille- U1286 INFINITE - Institute for Translational Research in Inflammation- F-59000 Lille France CHU Amiens-Picardie Department of Gastroenterology Amiens France IRCCS OSPEDALE San Raffaele Gastroenterology and Endoscopy- IBD Center Milan Italy Slagelse Hospital Department of Gastroenterology Slagelse Denmark University of Padua Division of Gastroenterology- Department of Surgery- Oncology and Gastroenterology Padua Italy Hospital da Luz Learning Health Investigation Center Lisbon Portugal Mount Sinai Hospital Department of Gastroenterology New York United States Centre of Research in Epidemiology and Statistics- UMR 1153- Inserm ECSTRRA Unit Paris France Hospital da Luz Division of Gastroenterology Lisboa Portugal

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P299 Disability in newly diagnosed patients with Crohn′s Disease: initial results from the prospective CROCO (Crohn′s Disease Cohort) Study

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Journal of Crohn's and Colitis 2023年第SUPPLEMENT_1期17卷 i443–i444页

作者： Tinoco da Silva Torres, J Ellul, P Vieujean, S Ordas, I Burisch, J Mocanu, I Duricova, D Rodríguez-Lago, I Buisson, A Goldis, A Hernandez, V Arebi, N Kaimakliotis, I Nachury, M Fumery, M Allocca, M Pedersen, N Barberio, B Shaji, S Guedes, A Ribeiro, R Ungaro, R Lambert, J Colombel, J F Surgical Department- Gastroenterology Division Hospital Beatriz Ângelo Loures Portugal Hospital da Luz Division of Gastroenterology Lisbon Portugal Mater dei Hospital Gastroenterology Msida Malta University Hospital CHU of Liège Department of Gastroenterology Liège Belgium Hospital Clinic Barcelona Department of Gastroenterology Barcelona Spain Copenhagen University Hospital - Amager and Hvidovre Gastrounit medical division Hvidovre Denmark Hospital Garcia da Orta Department of Gastroenterology Almada Portugal IBD Clinical and Research Clinic- ISCARE Gastroenterologie Prague Czech Republic Hospital Universitario de Galdakao Department of Gastroenterology Galdakao Spain CHU Clermont - Ferrand IBD Unit Clermont-Ferrand France Algomed Policlinic Gastroenterologie Timisoara Romania Hospital Alvaro Cunqueiro Gastroenterologie Vigo Spain St Mark's Hospital Department of IBD London United Kingdom American Gastroenterology Center Gastroenterologie and Hepatologist Strovolos Cyprus Claude Huriez Lille University Gastroenterologie and Hepatologist Lille France CHU Amiens-Picardie Hôpital Sud Department of Hepato - Gastroenterology Amiens France Ospedale San Raffaele Department of Gastroenterology Milan Italy Slagelse Hospital Gastroenterologie Slagelse Denmark University of Padua Division of Gastroenterology- Department of Surgery- Oncology and Gastroenterology Padua Italy Hull University Teaching Hospitals IBD Research Unit- Department of Gastroenterology Hull United Kingdom Hospital da Luz Learning Health Investigation Center Lisbon Portugal Mount Sinai Hospital Department of Gastroenterology New York United States Centre of Research in Epidemiology and Statistics- UMR 1153- Inserm ECSTRRA Unit Paris France

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Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

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Nature communications 2025年第1期16卷 4235-4235页

作者： Cecilia Anza-Ramirez J. Jaime Miranda Benedetta Armocida Jorge César Correia Harriette Gillian Christine Van Spall David Beran Amirali Aali Kalkidan Hassen Abate Semagn Mekonnen Abate Cristiana Abbafati Mohsen Abbasi-Kangevari Zeinab Abbasi-Kangevari Zahra Aryan Sina Azadnajafabad Mohammadreza Azangou-Khyavy Seyyed-Hadi Ghamari Mohammad Keykhaei Javad Khanali Sara Momtazmanesh Fateme Montazeri Shayan Rahmani Mohammad-Mahdi Rashidi Nazila Rezaei Negar Rezaei Sahar Saeedi Moghaddam Hossein Hassanian-Moghaddam Ali-Asghar Kolahi Ali Nikoobar Hedayat Abbastabar Ahmed M. Abdel-Azeem Michael Abdelmasseh Juan Sanabria Sherief Abd-Elsalam Ahmed Abdelwahab Gholamreza Abdoli Mohammad Abdollahi Meriem Abdoun Deldar Morad Abdulah Abu Yousuf Md Abdullah Ame Mehadi Abdurehman Getachew Abebe Aidin Abedi Chirag P. Doshi Vida Abedi Hassan Abidi Richard Gyan Aboagye Hassan Abolhassani Nima Rezaei Lucas Guimarães Abreu Michael R. M. Abrigo Yonas Derso Abtew Hiwa Abubaker Ali Eman Abu-Gharbieh Hiba Jawdat Barqawi Rabih Halwani Maha Mohamed Saber-Ayad Iman M. Talaat Ahmed Abu-Zaid Manfred Mario Kokou Accrombessi Juan Manuel Acuna Denberu Eshetie Adane Tigist Demssew Adane Isaac Yeboah Addo Giovanni Addolorato Oluwafemi Atanda Adeagbo Victor Adekanmbi Miracle Ayomikun Adesina Isaac Iyinoluwa Olufadewa Olatunji O. Adetokunboh Daniel Adedayo Adeyinka Qorinah Estiningtyas Sakilah Adnani Aanuoluwapo Adeyimika Afolabi Olayinka Stephen Ilesanmi Muhammad Sohail Afzal Saira Afzal Gina Agarwal Prerna Agarwal Pradyumna Agasthi Anurag Agrawal Marcela Agudelo-Botero Adolfo Martinez-Valle Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Sohail Ahmad Tauseef Ahmad Ali Ahmadi Siamak Sabour Keivan Ahmadi Sanjay Basu Sepideh Ahmadi Ali Ahmed Shaun Wen Huey Lee Ayman Ahmed Haroon Ahmed Jivan Qasim Ahmed Gahin Abdulraheem Tayib Yahya Yahya Luai A. Ahmed Iffat Elbarazi Syed Mahboob Shah Janardhana P. Aithala Marjan Ajami Budi Aji Hossein Akbarialiabad Yibeltal Akelew Meisam Akhlaghdoust Elham Jamshidi Addis Aklilu Azene Tesfaye Melat Woldemariam Maxwell Ak CRONICAS Center of Excellence in Chronic Diseases Universidad Peruana Cayetano Heredia Lima Peru School of Medicine Universidad Peruana Cayetano Heredia Lima Peru Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK Division of Tropical and Humanitarian Medicine University of Geneva Geneva Switzerland Department of Cardiovascular Endocrine-metabolic Diseases and Aging Istituto Superiore di Sanità Rome Italy Division of Endocrinology Diabetology Nutrition and Therapeutic Patient Education Department of Medicine Geneva University Hospitals Geneva Switzerland Department of Medicine and Department of Health Research Evidence and Impact McMaster University Hamilton ON Canada Research Institute of St. Joe’s Hamilton ON Canada Population Health Research Institute Hamilton Canada Geneva University Hospitals Geneva Switzerland Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran Department of Nutrition and Dietetics Jimma University Jimma Ethiopia Anesthesiology Department Dilla University Addis Ababa Ethiopia Department of Juridical and Economic Studies La Sapienza University Rome Italy Non-Communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Brigham and Women’s Hospital Harvard University Boston MA USA Students’ Scientific Research Center (SSRC) Tehran University of Medical Sciences Tehran Iran School of Medicine Tehran University of Medical Sciences Tehran Iran School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Institute Tehran University of Medical Sciences Tehran Iran Chapter of Addiction Medicine University of Sydney Sydney NSW Australia Advanced Diagnostic and Intervent

Chronic care manages long-term, progressive conditions, while acute care addresses short-term conditions. Chronic conditions increasingly strain health systems, which are often unprepared for these demands. This study examines the burden of conditions requiring acute versus chronic care, including sequelae. Conditions and sequelae from the Global Burden of Diseases Study 2019 were classified into acute or chronic care categories. Data were analysed by age, sex, and socio-demographic index, presenting total numbers and contributions to burden metrics such as Disability-Adjusted Life Years (DALYs), Years Lived with Disability (YLD), and Years of Life Lost (YLL). Approximately 68% of DALYs were attributed to chronic care, while 27% were due to acute care. Chronic care needs increased with age, representing 86% of YLDs and 71% of YLLs, and accounting for 93% of YLDs from sequelae. These findings highlight that chronic care needs far exceed acute care needs globally, necessitating health systems to adapt accordingly. © 2025. The Author(s).

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