Article
Public, Environmental & Occupational Health
Niccolo Tempini, Sabina Leonelli
Summary: This paper examines the actionability and trust of genomic data in medical research, discussing the case of COSMIC as a leading cancer genomics database and comparing exploratory and diagnostics research. Researchers highlight various questions and concerns when using genomic data in different situations, while also acknowledging similarities in evaluation and re-use strategies.
SOCIAL SCIENCE & MEDICINE
(2021)
Review
Medicine, General & Internal
Jerome Atutornu, Richard Milne, Alesia Costa, Christine Patch, Anna Middleton
Summary: Despite concerns about equity and social justice, the representation of traditionally scientifically underserved groups in genomic research remains low. Factors contributing to this include a lack of trust in the research community and limited diversity in this community. Building trust requires increasing diversity among researchers and engaging meaningfully with underrepresented communities in a culturally and linguistically appropriate manner.
Article
Health Care Sciences & Services
Carrie L. Blout Zawatsky, Jennifer R. Leonhard, Megan Bell, Michelle M. Moore, Natasha J. Petry, Dylan M. Platt, Robert C. Green, Catherine Hajek, Kurt D. Christensen
Summary: This paper describes the staffing and deployment strategy of a healthcare system in implementing a precision medicine program. By increasing the number and scope of genetic specialists and pharmacists, the system was able to effectively manage the increase in genetic referrals and improve the outcomes of genetic screening. This strategic approach can serve as a template for other healthcare systems interested in developing a precision medicine program.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Computer Science, Information Systems
Weilin Wu, Yixiang Chen
Summary: This paper proposes a trustworthy classification model for intelligent building fire risk assessment. The model integrates Bayesian Network and software trustworthy computing approach to accurately assess the degree of intelligent building fire risk. Experimental results confirm the theoretical significance and practical value of the proposed method, and the comparison with other assessment methods demonstrates its comprehensiveness, rationality, and scientific nature.
Article
Medicine, General & Internal
Elisa Assirelli, Susanna Naldi, Veronica Brusi, Jacopo Ciaffi, Lucia Lisi, Luana Mancarella, Federica Pignatti, Lia Pulsatelli, Cesare Faldini, Francesco Ursini, Simona Neri
Summary: Research biobanks are non-profit structures that collect, manipulate, store, analyze and distribute systematically organized biological samples and data for research and development purposes. The Rheumatology BioBank (RheumaBank) in Italy collects, processes, stores, and distributes biological samples and associated data from patients with inflammatory joint diseases, aiming to promote large-scale, high-quality research studies in rheumatoid arthritis (RA), psoriatic arthritis (PsA), and other spondyloarthritides (SpA) to improve treatment personalization.
FRONTIERS IN MEDICINE
(2023)
Article
Chemistry, Analytical
Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stephane Tremblay, Alexander Wong, Pengcheng Xi
Summary: Computer vision and deep learning can be improved in medical artificial intelligence through assisting in diagnosis, prediction, and prognosis. This study proposes a trustworthy deep learning framework (TRUDLMIA) for medical image analysis, which leverages self-supervised learning and a novel surrogate loss function to build optimal performance models with model trust. The framework is validated on three benchmark datasets and proves to be highly competitive in detecting pneumonia, COVID-19, and melanoma.
Article
Computer Science, Information Systems
Young-Jin Kim, Hanjin Kim, Seunggi Lee, Won-Tae Kim
Summary: This study introduces a reliable building fire detection framework based on simulation learning, aiming to mitigate data scarcity issues by simulating fire events, ultimately achieving a higher F1 score and lower false positive rate compared to conventional time-series classification networks.
Editorial Material
Genetics & Heredity
Maya Sabatello, Gregory Diggs-Yang, Alicia Santiago, Carla Easter, Kim Jacoby Morris, Brittany M. Hollister, Michael Hahn, Kellan Baker, Alma Mccormick, Ella Greene-Moton, Christina Daulton, Greta Goto
Summary: Precision medicine research faces challenges related to trust and representation, translational efforts, and community engagement. Current efforts focus on single-dimensional demographic criteria, while ignoring the impact of other variables. To improve the effectiveness of precision medicine research, a more nuanced and multi-layered approach is needed for data collection, analysis, and implementation.
AMERICAN JOURNAL OF HUMAN GENETICS
(2023)
Article
Multidisciplinary Sciences
Melanie Jeske, Emily Vasquez, Stephanie M. Fullerton, Aliya Saperstein, Michael Bentz, Nicole Foti, Janet K. Shim, Sandra Soo-Jin Lee
Summary: This study identifies the challenges faced by precision medicine research teams in achieving equitable diversification. The findings suggest that underrepresented team members have limited influence on study design, and existing academic structures exacerbate the challenges for achieving equitable diversification.
Article
Multidisciplinary Sciences
Payal Chandak, Kexin Huang, Marinka Zitnik
Summary: PrimeKG is a multimodal knowledge graph that integrates 20 high-quality resources to describe 17,080 diseases and their relationships across various biological scales. It contains abundant drug-disease edges that lack in other knowledge graphs and can support AI analyses of disease-associated networks.
Article
Engineering, Multidisciplinary
Cheng Kong
Summary: This paper explores the enterprise digital precision marketing strategy based on big data, using machine learning for statistical analysis and personalized promotion. It addresses issues in consumption data sharing and precision marketing, and verifies the feasibility of the algorithm through homomorphic encryption technology.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Review
Medicine, General & Internal
John Noel Viana, Sarah Edney, Shakuntla Gondalia, Chelsea Mauch, Hamza Sellak, Nathan O'Callaghan, Jillian C. Ryan
Summary: This study conducted a scoping review to determine the progress and gaps in global precision health research. The findings indicate that while there is a growing number of precision health studies focusing on interventions, there is a significant gap in integrating multiple data types, conducting systematic intervention assessments using randomised controlled trials, and reporting participant gender and ethnicity. Collaboration across disciplines is essential to address these gaps and provide interventions for promoting good health across all ages.
Article
Computer Science, Hardware & Architecture
Xiaotong Cui, Xing Zhang, Hao Yan, Liang Zhang, Kefei Cheng, Yu Wu, Kaijie Wu
Summary: This article addresses the detection and recovery of hardware Trojans in integrated circuits from a graph-theoretic perspective, proposing models to minimize implementation costs and enhance system security. Experiment results validate the feasibility and efficiency of the proposed techniques.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Miguel Pincheira, Massimo Vecchio, Raffaele Giaffreda, Salil S. Kanhere
Summary: This study explores incentivizing virtuous behaviors in agricultural practices through energy-efficient integration of IoT-based sensing and blockchains, using constrained sensing devices as trustworthy data sources. The research advances the State-of-the-Art in IoT and blockchain interactions, and demonstrates how the proposed architecture can be implemented with minimal additional energy budget, making it suitable for automated and incentive-based irrigation water management systems to increase sustainability in the agricultural sector.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Medicine, General & Internal
Sanne Peters, Samantha Paubrey Chakraborty, Christopher Barton, Elizabeth Ann Sturgiss, Danielle Mazza, Maria De Leon-Santiago, Timothy Staunton-Smith, Grant Russell
Summary: This study aims to establish a research platform suitable for improving care across the healthcare continuum by building a sustainable collaboration between a PBRN and an Advanced Health Research and Translation Centre. The study will use a developmental evaluation design and include preparation work, adaptation and building for sustainable collaboration, and planning for network action. The project has obtained ethics approval and will be disseminated through various channels.
