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Comparison of Gait Speed Estimation of Multiple Sensor-Based Technologies

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2019年第1期8卷 135 - 139页

作者： Plinio P. Morita Adson S. Rocha George Shaker Doojin Lee Jing Wei Brandon Fong Anjali Thatte Amir-Hossein Karimi Lin Lin Xu Avery Ma Alex Wong Jennifer Boger School of Public Health and Health Systems University of WaterlooCentre for Global eHealth Innovation Techna Institute University Health NetworkInstitute of Health Policy Management and Evaluation University of TorontoDepartment of Systems Design Engineering University of WaterlooResearch Institute for Aging University of WaterlooWaterloo Artificial Intelligence Institute University of Waterloo School of Public Health and Health Systems University of WaterlooGoiano Federal Institute Research Institute for Aging University of WaterlooDepartment of Electrical and Computer Engineering University of WaterlooDepartment of Mechanical and Mechatronics Engineering University of WaterlooWaterloo Artificial Intelligence Institute University of Waterloo Department of Mechanical and Mechatronics Engineering University of Waterloo Department of Systems Design Engineering University of Waterloo Department of Systems Design Engineering University of WaterlooResearch Institute for Aging University of WaterlooWaterloo Artificial Intelligence Institute University of Waterloo Department of Systems Design Engineering University of WaterlooResearch Institute for Aging University of Waterloo

In light of our aging population, there is an immediate need for non-obtrusive, continuous, and ubiquitous health monitoring technologies that will enable our population to age with a higher quality of life and independence. Research has demonstrated that gait indicators, such as walking speed, can reflect cognitive and physical functioning. However, gradual changes in such indicators usually go undetected until critical problems arise; being able to detect changes in indicators, such as gait deterioration, of older adults while in their home environments would enable clinicians to tailor more effective and personalized interventions by better understanding user behaviour in real-world settings. Real-world data is essential to enabling our healthcare system to act where patients most need help and to optimize the effect of designed eHealth solutions.

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1929P Dabrafenib and trametinib (D+T) in BRAFV600E differentiated thyroid cancer: A real-world experience in Italy

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Annals of Oncology 2024年 35卷 S1121-S1122页

作者： L.D. Locati E. Colombo L. Fugazzola P. Bossi F. Magri S. Zovato D. Salvatore A. Malovini R. Elisei C. Durante Department of Internal Medicine and Therapeutics University of Pavia Pavia Italy Medical Oncology Dept. Fondazione IRCCS - Istituto Nazionale dei Tumori Milan Italy Endocrinological Department Istituto Auxologico Italiano IRCCS Milan Italy Department of Biomedical Sciences IRCCS Humanitas Research Hospital Milan Italy Hereditary Tumors Unit Azienda Universitaria Ospedaliera di Padova Padua Italy Department of Public Health Università degli Studi di Napoli Federico II - Dipartimento di Sanità Pubblica Naples Italy Department of Electrical Computer and Biomedical Engineering IRCCS Pavia - Fondazione Salvatore Maugeri Pavia Italy Department of Clinical and Experimental Medicine Università degli Studi di Pisa Pisa Italy Department of Translational and Precision Medicine Sapienza Università di Roma Rome Italy

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Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs)

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Exposome 2024年第1期4卷 osae001页

作者： Ming Kei Chung John S House Farida S Akhtari Konstantinos C Makris Michael A Langston Khandaker Talat Islam Philip Holmes Marc Chadeau-Hyam Alex I Smirnov Xiuxia Du Anne E Thessen Yuxia Cui Kai Zhang Arjun K Manrai Alison Motsinger-Reif Chirag J Patel Department of Biomedical Informatics Harvard Medical School Boston MA USA. School of Public Health and Primary Care The Chinese University of Hong Kong Hong Kong China. Institute of Environment Energy and Sustainability The Chinese University of Hong Kong Hong Kong China. Biostatistics and Computational Biology Branch Division of Intramural Research National Institute of Environmental Health Sciences Durham NC USA. Cyprus International Institute for Environmental and Public Health School of Health Sciences Cyprus University of Technology Limassol Cyprus. Department of Electrical Engineering and Computer Science University of TN Knoxville TN USA. Department of Population and Public Health Sciences Keck School of Medicine of the University of Southern CA Los Angeles CA USA. Department of Physics Villanova University Villanova Philadelphia USA. Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK. Department of Chemistry NC State University Raleigh NC USA. Department of Bioinformatics and Genomics College of Computing and Informatics University of NC at Charlotte Charlotte NC USA. Department of Biomedical Informatics University of CO Anschutz Medical Campus Aurora CO USA. Exposure Response and Technology Branch Division of Extramural Research and Training National Institute of Environmental Health Sciences Durham NC USA. Department of Environmental Health Sciences School of Public Health University at Albany State University of NY Rensselaer NY USA.

This paper explores the exposome concept and its role in elucidating the interplay between environmental exposures and human health. We introduce two key concepts critical for exposomics research. Firstly, we discuss the joint impact of genetics and environment on phenotypes, emphasizing the variance attributable to shared and nonshared environmental factors, underscoring the complexity of quantifying the exposome's influence on health outcomes. Secondly, we introduce the importance of advanced data-driven methods in large cohort studies for exposomic measurements. Here, we introduce the exposome-wide association study (ExWAS), an approach designed for systematic discovery of relationships between phenotypes and various exposures, identifying significant associations while controlling for multiple comparisons. We advocate for the standardized use of the term "exposome-wide association study, ExWAS," to facilitate clear communication and literature retrieval in this field. The paper aims to guide future health researchers in understanding and evaluating exposomic studies. Our discussion extends to emerging topics, such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining the future directions in exposomic research. This abstract provides a succinct overview of our comprehensive approach to understanding the complex dynamics of the exposome and its significant implications for human health.

关键词： Exposome-Wide Association Study (ExWAS) data science epidemiology exposome false discovery rate phenotype

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Daily rainfall forecast model from satellite image using Convolution neural network 3

Daily rainfall forecast model from satellite image using Con...

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3rd International Conference on Information Technology, InCIT 2018

作者： Boonyuen, Kitinan Kaewprapha, Phisan Srivihok, Patchanok Department of Electrical and Computer Engineering Thammasat University Rangsit Campus Pathum Thani Thailand PTT Public Company Limited Innovation Institute Wangnoi Ayuttaya13170 Thailand

ISBN: (纸本)9789741960323

The purpose of this paper is to investigate the capability of artificial intelligence by using convolutional neural networks (CNN), to forecast daily rainfall. The input of this model were the satellite images of the areas in Asia. The output of the model was daily rainfall prediction. Klong Yai rain station in Rayong province of Thailand was selected as our case study. We chose Inception-v3 model, which is an advance technique in convolutional neural networks. The model got very high accuracy on the ImageNet database which is the largest database of images. We helped the model to focus by reducing the size of the images and divided them into three different datasets. We used our 3 datasets to train the inception-v3 model by using 2 methods, the first method used transfer learning technique where we used a pre-trained model to train our dataset at the last fully connected layer. The second one was done from scratch where we trained all the layers of inception-v3. The training dataset consisted of satellite images of July, August and September 2017. The testing dataset had satellite images of October 2017. The result of forecasting revealed that the models were able to predict today rainfall, 1 day ahead rainfall, 2 days ahead rainfall and 3 days ahead rainfall successfully. © 2018 Mahasarakham University, Faculty of Informatics.

关键词： Rain

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The effect of pulsed electromagnetic field exposure on osteoinduction of human mesenchymal stem cells cultured on nano-TiO2surfaces

arXiv

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arXiv 2020年

作者： Bloise, Nora Petecchia, Loredana Ceccarelli, Gabriele Fassina, Lorenzo Usai, Cesare Bertoglio, Federico Balli, Martina Vassalli, Massimo Gabriella, Maria Angelis, Cusella De Gavazzo, Paola Imbriani, Marcello Visai, Livia Department of Molecular Medicine DMM Centre for Health Technologies INSTM Unit University of Pavia Pavia Department of Occupational Medicine Toxicology and Environmental Risks Istituti Clinici Scientifici Maugeri IRCCS Institute of Biophysics National Research Council Genova Department of Public Health Experimental Medicine and Forensic Centre for Health Technologies Human Anatomy Unit University of Pavia Pavia Department of Electrical Computer and Biomedical Engineering Centre for Health Technologies University of Pavia Pavia Italy

Human bone marrow-derived mesenchymal stem cells (hBM-MSCs) are considered a great promise in the repair and regeneration of bone. Considerable efforts have been oriented towards uncovering the best strategy to promote stem cells osteogenic differentiation. In previous studies, hBM-MSCs exposed to physical stimuli such as pulsed electromagnetic fields (PEMFs) or directly seeded on nanostructured titanium surfaces (TiO2) were shown to improve their differentiation to osteoblasts in osteogenic condition. In the present study, the effect of a daily PEMF-exposure on osteogenic differentiation of hBM-MSCs seeded onto nanostructured TiO2 (with clusters under 100 nm of dimension) was investigated. TiO2- seeded cells were exposed to PEMF (magnetic field intensity: 2 mT;intensity of induced electric field: 5 mV;frequency: 75 Hz) and examined in terms of cell physiology modifications and osteogenic differentiation. Results showed that PEMF exposure affected TiO2- seeded cells osteogenesis by interfering with selective calcium-related osteogenic pathways, and greatly enhanced hBM-MSCs osteogenic features such as the expression of early/late osteogenic genes and protein production (e.g., ALP, COL-I, osteocalcin and osteopontin) and ALP activity. Finally, PEMF-treated cells resulted to secrete into conditioned media higher amounts of BMP-2, DCN and COL-I than untreated cell cultures. These findings confirm once more the osteoinductive potential of PEMF, suggesting that its combination with TiO2nanostructured surface might be a great option in bone tissue engineering applications. Copyright © 2020, The Authors. All rights reserved.

关键词： Titanium dioxide

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Assessing the Potential of GPT-4 to Annotate Medical Notes Across Different Languages and Countries: A Model Evaluation Study

SSRN

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SSRN 2024年

作者： Saad Menezes, Maria Clara Hoffman, Alexander F. Tan, Amelia L.M. Nalbandyan, Mariné Omenn, Gilbert S. Mazzotti, Diego R. Hernández-Arango, Alejandro Visweswaran, Shyam Venkatesh, Shruthi Mandl, Kenneth D. Bourgeois, Florence T. Lee, James W.K. Makmur, Andrew Hanauer, David A. Semanik, Michael G. Kerivan, Lauren T. Hill, Terra Forero, Julian Restrepo Castro, Carlos Andrés C.R. Vigna, Matteo Ceriana, Piero Abu-El-rub, Noor Avillach, Paul Bellazzi, Riccardo Callaci, Thomas Gutiérrez-Sacristán, Alba Malovini, Alberto Mathew, Jomol P. Morris, Michele Murthy, Venkatesh Parimbelli, Enea Patel, Lav P. Sáez, Carlos Samayamuthu, Malarkodi Jebathilagam Thompson, Jeffrey A. Tibollo, Valentina Xia, Zongqi Kohane, Isaac S. Harvard Medical School Department of Biomedical Informatics 10 Shattuck Street BostonMA02115 United States School of Medicine and Public Health University of Wisconsin-Madison Office of Informatics and Information Technology 750 Highland Ave MadisonWI53705 United States University of Michigan Department of Computational Medicine & Bioinformatics Internal Medicine Human Genetics Environmental Health 100 Washtenaw Avenue Ann ArborMI48109 United States University of Kansas Medical Center Division of Medical Informatics Division of Pulmonary Critical Care and Sleep Medicine Department of Internal Medicine 3901 Rainbow Blvd Kansas CityKS66160 United States University of Antioquia Hospital Alma Máter de Antioquia Department of Internal Medicine Calle 64 N°51 D - 154 Medellín Colombia University of Pittsburgh Department of Biomedical Informatics 5607 Baum Blvd PittsburghPA15206 United States University of Pittsburgh Department of Neurology 3501 5th Avenue PittsburghPA15206 United States Boston Children's Hospital Computational Health Informatics Program 300 Longwood Avenue BostonMA02115 United States Boston Children's Hospital Department of Pediatrics 300 Longwood Avenue BostonMA02115 United States National University Health System Department of Surgery 1E Kent Ridge Rd Singapore119228 Singapore National University Health System Department of Diagnostic Imaging 1E Kent Ridge Rd Singapore119228 Singapore University of Michigan Department of Learning Health Sciences NCRC 100 2800 Plymouth Road Ann ArborMI48109 United States University of Kansas Medical Center Department of Surgery 3901 Rainbow Blvd Kansas CityKS66160 United States Istituti Clinici Scientifici Maugeri IRCCS Respiratory rehabilitation unit Via Maugeri 10 Pavia27100 Italy University of Kansas Medical Center 3901 Rainbow Blvd Kansas CityKS66160 United States University of Pavia Department of Electrical Computer and Biomedical Engineering via Ferrata 5 Pavia2710

Background: Physicians invest hours creating patient notes, which are rich in information but difficult for computers to analyze due to their unstructured format. GPT-4 reshaped our ability to process text, yet it is unknown how well this model can handle medical notes. This project aims to compare GPT-4’s ability to annotate medical notes against experienced physicians across three different languages at multiple institutions and countries. Methods: This study included eight sites from four countries - the United States, Colombia, Singapore, and Italy. Each site contributed seven de-identified notes (admission, progress, or consult) from hospitalized patients. GPT-4 assessed each note by answering 14 questions, including demographic information, clinical judgments, data quality, and patients’ eligibility for a hypothetical study enrollment. For validation, two physicians from each site independently evaluated GPT-4's responses. Findings: Overall, 56 medical notes, written in English, Italian, and Spanish, were analyzed. A total of 784 responses from GPT-4 were generated. Both physicians agreed with GPT-4’s response 79% of the time (622/784, 95%CI 76-82%). Only one of the two physicians agreed with GPT-4’s response 10% of the time (82/784, 95%CI 8-13%). Neither physician agreed with GPT-4’s response 10% of the time (80/784, 95%CI 8-13%). Both physicians agreed with GPT-4 more often in notes written in Spanish and Italian than in English, with agreement rates of 88% (86/98, 95%CI 79-93%), 84% (82/98, 95%CI 75-90%), and 77% (454/588, 95%CI 74-80%), respectively. Hallucinations were rare (10/784, 95%CI 0-2%). GPT-4 correctly selected patients for a hypothetical study enrollment based on three criteria 90% of the time (95%CI 81-98%). Interpretation: The findings indicate that GPT-4 annotations demonstrated a high agreement rate with physicians across all languages. We also demonstrate GPT-4's potential to assist in patient selection for studies. Funding: None. Declarati

关键词： Medical computing

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Spectrum Sharing Between WLANs and Fixed Microwave Links in 6 and 13 GHz Bands: a Case Study

Spectrum Sharing Between WLANs and Fixed Microwave Links in ...

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IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN

作者： Nadia Yoza-Mitsuishi Ruoyu Sun Peter Mathys Technology Cybersecurity and Policy Program University of Colorado Boulder Boulder CO R&D Wireless CableLabs Louisville CO Department of Electrical and Computer Engineering University of Colorado Boulder Boulder CO

ISBN: (纸本)9781728123776

The 6 GHz band (5925-7125 MHz) has recently been proposed by the FCC to be shared with unlicensed devices This band is allocated to fixed, mobile (temporary fixed) and fixed satellite service links. The 13 GHz band (12700-13250 MHz) could also be subject to more flexible use, considering that it is allocated to the same type of incumbents. The purpose of this paper is to analyze coexistence between Wireless Local Area Networks (WLANs) and current terrestrial fixed links in these bands based on a case study approach, which can be replicated to other parts of the country. The coexistence analysis uses information from real links and accounts for the terrain morphology and actual land use to calculate the potential interference. We have conducted interference simulations from low-power indoor (LPI) WLANs to terrestrial fixed links and vice versa, from terrestrial fixed links to LPI WLANs, in the Denver metro area. The simulations have been performed in the upper part of the 6 GHz band, from 6875 to 7125 MHz, designated as the U-NII-8 band by the FCC, and in the 13 GHz band. To validate the simulations, we measured the incumbent signal power detected on the ground in a few locations in this area. We found that terrestrial fixed links operating in these bands can coexist with LPI WLANs without significant interference between each other, which will benefit consumers and encourage technology and innovation.

关键词： Interference FCC Wireless fidelity Databases Antennas Automobiles

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Detection of self-reported experiences with corruption on twitter using unsupervised machine learning

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Social Sciences and Humanities Open 2020年第1期2卷

作者： Li, Jiawei Chen, Wen-Hao Xu, Qing Shah, Neal Kohler, Jillian C. Mackey, Tim K. Department of Healthcare Research and Policy University of California San Diego - Extension United States Department of Anesthesiology University of California San Diego School of Medicine San Diego CA United States Global Health Policy Institute San Diego CA United States Department of Computer Science and Engineering University of California Jacobs School of Engineering San Diego United States WHO Collaborating Centre for Governance Transparency and Accountability in the Pharmaceutical Sector University of Toronto Ontario Canada Leslie Dan School of Pharmacy Dalla Lana School of Public Health and Munk School of Global Affairs University of Toronto ON Canada Division of Infectious Disease and Global Public Health University of California San Diego School of Medicine Department of Medicine San Diego CA United States

Background: Corruption is a significant challenge to the future of human development, economic progress, and population health in the post millennium. Corruption, in its different forms of bribery, fraud, waste, collusion, and illicit financial flows, not only leads to waste but can also erode trust in government and public systems. Corruption is also complex and globalized with different forms of corruption occurring across different countries and multiple industries. One critical tool to leverage in the fight against corruption is the use of innovative technologies such as machine learning. Methods: In this study, we deployed an unsupervised machine learning methodology using natural language processing to collect and analyze data from the popular social media platform Twitter with the aims of detecting self-reported experiences with corruption, including in the health sector. We collected data from the Twitter public API for keywords associated with corruption and used the biterm topic model to extract themes from the entire corpus of Tweets in order to detect user-generated messages reporting or discussing experiences with corruption. Results: We analyzed 22, 180, 425 tweets filtered for corruption-related keywords from January–May 2019. Using a combination of NLP and manual annotation, we detected 2383 tweets from 1556 users that included self-reporting of corruption for two dominant themes: police bribery and healthcare corruption. Overall, we found a small number of users actively reporting experiences with corruption, identified users located in countries that are perceived as having higher levels of corruption by their citizens, and found that the majority of messages included reports of users’ own experiences and/or documentation of corruption. Conclusion: Though technology is not a “silver bullet” that can entirely address the multifaceted nature of global corruption, this study demonstrates its potential utility as a force for good to enable better detec

关键词： Big data Bribery Corruption Healthcare Machine learning Natural language processing Sustainable development goals

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Plasma proteomic analysis of intermuscular fat links muscle integrity with processing speed in older adults

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Alzheimer's and Dementia 2025年第5期21卷 e70261页

作者： Tanaka, Toshiko Rosano, Caterina Huang, Xiaoning Tian, Qu Landman, Bennett A. Moore, Ann Z. Miljkovic, Iva Perry, Andrew Khan, Sadiya Kalhan, Ravi Carr, John Jeffrey Terry, James G. Yaffe, Kristine Walker, Keenan A. Candia, Julián Ferrucci, Luigi Longitudinal Studies Section Translational Gerontology Branch NIH NIA Baltimore MD United States Department of Epidemiology School of Public Health University of Pittsburgh Pittsburgh PA United States Division of Cardiology Department of Medicine Feinberg School of Medicine Northwestern University Chicago IL United States Department of Computer Science Vanderbilt University Nashville TN United States Vanderbilt Translational and Clinical Cardiovascular Research Center Vanderbilt University School of Medicine Nashville TN United States Division of Pulmonary and Critical Care Medicine Department of Medicine Northwestern University Feinberg School of Medicine Chicago IL United States Department of Electrical and Computer Engineering Vanderbilt University School of Medicine Nashville TN United States UCSF Weill Institute for Neurosciences University of California–San Francisco San Francisco CA United States Laboratory of Behavioral Neuroscience National Institute on Aging Intramural Research Program Baltimore MD United States

INTRODUCTION: More intermuscular fat (IMF) has been associated with lower cognitive performance through mechanisms that are not fully elucidated. METHODS: The associations of 7628 plasma proteins with IMF were assessed in the Baltimore Longitudinal Study on Aging (n = 941, mean age = 66.7 ± 15.2) and validated in the Coronary Artery Risk Development in Young Adults Study (n = 2451, mean age = 50.2 ± 3.6). Processing speed was assessed by Digit Symbol Substitution Test (DSST). Associations between the main exposures, outcome, and mediators were evaluated using linear regression, and mediating effects were assessed by causal mediation analysis. RESULTS: There were 722 plasma proteins associated with IMF in both the discovery and replication cohorts (false discovery rate [FDR] adjusted p ≤ 0.05). Of these, 26 mediated the relationship between IMF and DSST, with effects ranging from 2.8% to 20.9% (p ≤ 0.05). These proteins represented synaptic function and organization, and growth factor binding (FDR adjusted p ≤ 0.05). DISCUSSION: Reducing IMF may improve processing speed through effects on growth factor and synaptic activity. Highlights: Higher intermuscular fat is associated with lower processing speed, consistently across populations that represent different demographic characteristics. There is a robust plasma proteomic profile of intermuscular fat that is assessed in the abdominal and thigh skeletal muscle. The proteins associated with intermuscular fat reflect signals that are reflective of synaptic function and organization, as well as other molecular pathways such as growth factor binding. Circulating proteins partially explain the association between higher intermuscular fat and lower processing speed, suggesting that higher intermuscular fat effects processing speed through pathways including synaptic functions and growth factor binding. © 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This

关键词： aging epidemiology intermuscular fat processing speed proteomics

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Design considerations for building credible security testbeds a systematic study of industrial control system use cases

arXiv

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arXiv 2019年

作者： Ani, Uchenna D. Watson, Jeremy M. Green, Benjamin Craggs, Barnaby Nurse, Jason Department of Science Technology Engineering and Public Policy University College London School of Computing and Communications Lancaster University United Kingdom Department of Computer Science University of Bristol United Kingdom School of Computing University of Kent United Kingdom

This paper presents a mapping framework for design factors and implementation process for building credible Industrial Control Systems (ICS) security testbeds. The resilience of ICSs has become a critical concern to operators and governments following widely publicised cyber security events. The inability to apply conventional Information Technology security practice to ICSs further compounds challenges in adequately securing critical systems. To overcome these challenges, and do so without impacting live environments, testbeds for the exploration, development and evaluation of security controls are widely used. However, how a testbed is designed and its attributes, can directly impact not only its viability but also its credibility as a whole. Through a combined systematic and thematic analysis and mapping of ICS security testbed design attributes, this paper suggests that the expertise of human experimenters, design objectives, the implementation approach, architectural coverage, core characteristics, and evaluation methods;are considerations that can help establish or enhance confidence, trustworthiness and acceptance;thus, credibility of ICS security testbeds. Copyright © 2019, The Authors. All rights reserved.

关键词： Testbeds

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