keyword
https://read.qxmd.com/read/38536805/powerful-tool-or-too-powerful-early-public-discourse-about-chatgpt-across-4-million-tweets
#1
JOURNAL ARTICLE
Reuben Ng, Ting Yu Joanne Chow
BACKGROUND: This paper investigates initial exuberance and emotions surrounding ChatGPT's first three months of launch (1 December 2022-1 March 2023). The impetus for studying active discussions surrounding its implications, fears, and opinions is motivated by its nascent popularity and potential to disrupt existing professions; compounded by its significance as a crucial inflexion point in history. Capturing the public zeitgeist on new innovations-much like the advent of the printing press, radio, newspapers, or the internet-provides a retrospective overview of public sentiments, common themes, and issues...
2024: PloS One
https://read.qxmd.com/read/38534114/improvement-of-multilevel-memory-performance-of-mnte-thin-films-by-ta-doping
#2
JOURNAL ARTICLE
Yukang Yuan, Lai He, Jin Qian, Sannian Song, Zhitang Song, Ruirui Liu, Jiwei Zhai
The pressing need for data storage in the era of big data has driven the development of new storage technologies. As a prominent contender for next-generation memory, phase-change memory can effectively increase storage density through multilevel cell operation and can be applied to neuromorphic and in-memory computing. Herein, the structure and properties of Ta-doped MnTe thin films and their inherent correlations are systematically investigated. Amorphous MnTe thin films sequentially precipitated cubic MnTe2 and hexagonal Te phases with increasing temperature, causing resistance changes...
March 27, 2024: ACS Applied Materials & Interfaces
https://read.qxmd.com/read/38533935/trends-and-disparities-around-cardiovascular-mortality-in-sarcoidosis-does-big-data-have-the-answers
#3
EDITORIAL
Raheel Ahmed, Rakesh Sharma, C Anwar A Chahal
No abstract text is available yet for this article.
March 27, 2024: Journal of the American Heart Association
https://read.qxmd.com/read/38533640/heterogeneous-association-of-tooth-loss-with-functional-limitations
#4
JOURNAL ARTICLE
Y Matsuyama, J Aida, K Kondo, K Shiba
Tooth loss is prevalent in older adults and associated with functional capacity decline. Studies on the susceptibility of some individuals to the effects of tooth loss are lacking. This study aimed to investigate the heterogeneity of the association between tooth loss and higher-level functional capacity in older Japanese individuals employing a machine learning approach. This is a prospective cohort study using the data of adults aged ≥65 y in Japan ( N = 16,553). Higher-level functional capacity, comprising instrumental independence, intellectual activity, and social role, was evaluated using the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC)...
April 2024: Journal of Dental Research
https://read.qxmd.com/read/38532583/-precision-nutritional-therapy-in-gastrointestinal-tumor
#5
JOURNAL ARTICLE
D Zhou, S J Wang, X Y Wang
Apart from individual genetic background, unhealthy lifestyle and diet, etc., nutrition also plays an important role in the occurrence and progression of gastrointestinal tumors. Although some patients with gastrointestinal tumors can be satisfied with the traditional nutritional support, it is apparently inadequate for the systemic management of all patients. Precision nutrition support, also known as personalized nutrition support, refers to safe and efficient individualized nutrition intervention based on the investigation of individual genetic background, life characteristics, metabolic indicators, intestinal microbial characteristics, and physiological status factors through big data analysis for the prevention and treatment of chronic diseases...
March 25, 2024: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://read.qxmd.com/read/38531933/a-super-sdm-species-distribution-model-in-the-cloud-for-better-habitat-association-inference-with-a-big-data-application-of-the-great-gray-owl-for-alaska
#6
JOURNAL ARTICLE
Falk Huettmann, Phillip Andrews, Moriz Steiner, Arghya Kusum Das, Jacques Philip, Chunrong Mi, Nathaniel Bryans, Bryan Barker
The currently available distribution and range maps for the Great Grey Owl (GGOW; Strix nebulosa) are ambiguous, contradictory, imprecise, outdated, often hand-drawn and thus not quantified, not based on data or scientific. In this study, we present a proof of concept with a biological application for technical and biological workflow progress on latest global open access 'Big Data' sharing, Open-source methods of R and geographic information systems (OGIS and QGIS) assessed with six recent multi-evidence citizen-science sightings of the GGOW...
March 27, 2024: Scientific Reports
https://read.qxmd.com/read/38531860/predicting-and-improving-complex-beer-flavor-through-machine-learning
#7
JOURNAL ARTICLE
Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Christophe Vanderaa, Florian A Theßeling, Łukasz Kreft, Alexander Botzki, Philippe Malcorps, Luk Daenen, Tom Wenseleers, Kevin J Verstrepen
The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models...
March 26, 2024: Nature Communications
https://read.qxmd.com/read/38530805/deep-learning-based-inkjet-droplet-detection-for-jetting-characterizations-and-multijet-synchronization
#8
JOURNAL ARTICLE
Eunsik Choi, Suwon Choi, Kunsik An, Kyung-Tae Kang
Inkjet printing is a powerful direct material writing process. It can be used to deposit microfluidic droplets in designated patterns at submicrometer resolution, which reduces materials usage. Nonetheless, predicting jetting characterizations is not easy because of the intrinsic complexity of the ink-nozzle-air interactions. Thus, inkjet processes are monitored by skilled engineers to ensure process reliability. This is a bottleneck in industry, resulting in high labor costs for multiple nozzles. To address this, we present a deep learning-based method for jetting characterizations...
March 26, 2024: ACS Applied Materials & Interfaces
https://read.qxmd.com/read/38530439/clinical-implication-of-megestrol-acetate-in-metastatic-gastric-cancer-a-big-data-analysis-from-health-insurance-review-and-assessment-hira-database
#9
JOURNAL ARTICLE
Chang Min Lee, Jung Hun Kang, Se-Il Go
OBJECTIVE: Megestrol acetate (MA) is used to manage anorexia and cachexia in patients with advanced cancer. This study investigated the prescription patterns of MA in patients with metastatic gastric cancer, as well as evaluated its impact on survival outcomes and the incidence of venous thromboembolism (VTE). METHODS: A Health Insurance Review and Assessment (HIRA) service database was used to investigate differences in baseline characteristics, survival, and the incidence of VTE according to MA prescription patterns (i...
March 26, 2024: Supportive Care in Cancer
https://read.qxmd.com/read/38528850/multi-sample-%C3%AE-mixup-richer-more-realistic-synthetic-samples-from-a-p-series-interpolant
#10
JOURNAL ARTICLE
Kumar Abhishek, Colin J Brown, Ghassan Hamarneh
Modern deep learning training procedures rely on model regularization techniques such as data augmentation methods, which generate training samples that increase the diversity of data and richness of label information. A popular recent method, mixup , uses convex combinations of pairs of original samples to generate new samples. However, as we show in our experiments, mixup  can produce undesirable synthetic samples, where the data is sampled off the manifold and can contain incorrect labels. We propose <mml:math xmlns:mml="https://www...
2024: Journal of Big Data
https://read.qxmd.com/read/38528564/anesthesia-decision-analysis-using-a-cloud-based-big-data-platform
#11
REVIEW
Shuiting Zhang, Hui Li, Qiancheng Jing, Weiyun Shen, Wei Luo, Ruping Dai
Big data technologies have proliferated since the dawn of the cloud-computing era. Traditional data storage, extraction, transformation, and analysis technologies have thus become unsuitable for the large volume, diversity, high processing speed, and low value density of big data in medical strategies, which require the development of novel big data application technologies. In this regard, we investigated the most recent big data platform breakthroughs in anesthesiology and designed an anesthesia decision model based on a cloud system for storing and analyzing massive amounts of data from anesthetic records...
March 25, 2024: European Journal of Medical Research
https://read.qxmd.com/read/38528130/gynecomastia-surgery-in-4996-male-patients-over-14-years-a-retrospective-analysis-of-surgical-trends-predictive-risk-factors-and-short-term-outcomes
#12
JOURNAL ARTICLE
Leonard Knoedler, Samuel Knoedler, Michael Alfertshofer, Frederik J Hansen, Thilo Schenck, Giuseppe Sofo, Doha Obed, Katharina Hollmann, Laura C Siegwart, Felix H Vollbach, Amir K Bigdeli, Martin Kauke-Navarro, Bohdan Pomahac
BACKGROUND: The high prevalence of benign male breast tissue enlargement (gynecomastia) has resulted in a marked increase of gynecomastia cases. While about one third of male adults experience some form of gynecomastia, gynecomastia surgery (GS) outcome research is limited to small study populations and single-center/-surgeon databases. In this study, we aimed to access the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database to identify preoperative risk factors for complications and investigate postoperative outcomes of GS...
March 25, 2024: Aesthetic Plastic Surgery
https://read.qxmd.com/read/38527706/design-and-implementation-of-multicenter-pediatric-and-congenital-studies-with-cardiovascular-magnetic-resonance-big-data-in-smaller-bodies
#13
REVIEW
Michael P DiLorenzo, Simon Lee, Rahul H Rathod, Francesca Raimondi, Kanwal M Farooqi, Supriya S Jain, Margaret M Samyn, Tiffanie R Johnson, Laura J Olivieri, Mark A Fogel, Wyman W Lai, Pierangelo Renella, Andrew J Powell, Sujatha Buddhe, Caitlin Stafford, Jason N Johnson, Willem A Helbing, Kuberan Pushparajah, Inga Voges, Vivek Muthurangu, Kimberley G Miles, Gerald Greil, Colin J McMahon, Timothy C Slesnick, Brian M Fonseca, Shaine A Morris, Jonathan H Soslow, Lars Grosse-Wortmann, Rebecca S Beroukhim, Heynric B Grotenhuis
Cardiovascular magnetic resonance (CMR) has become the reference standard for quantitative and qualitative assessment of ventricular function, blood flow, and myocardial tissue characterization. There is a preponderance of large CMR studies and registries in adults; However, similarly powered studies are lacking for the pediatric and congenital heart disease (PCHD) population. To date, most CMR studies in children are limited to small single or multicenter studies, thereby limiting the conclusions that can be drawn...
March 23, 2024: Journal of Cardiovascular Magnetic Resonance
https://read.qxmd.com/read/38527254/dual-path-graph-neural-network-with-adaptive-auxiliary-module-for-link-prediction
#14
JOURNAL ARTICLE
Zhenzhen Yang, Zelong Lin, Yongpeng Yang, Jiaqi Li
Link prediction, which has important applications in many fields, predicts the possibility of the link between two nodes in a graph. Link prediction based on Graph Neural Network (GNN) obtains node representation and graph structure through GNN, which has attracted a growing amount of attention recently. However, the existing GNN-based link prediction approaches possess some shortcomings. On the one hand, because a graph contains different types of nodes, it leads to a great challenge for aggregating information and learning node representation from its neighbor nodes...
March 25, 2024: Big Data
https://read.qxmd.com/read/38526380/-patients-torn-to-pieces
#15
JOURNAL ARTICLE
Lorenzo Farina
Dissecting bodies is a common practice in many cultures. But in "big data medicine", the art of dissecting the human body has become an obsession. Indeed, modern biotechnology allows us to see and measure the molecular components of every single cell. But how can we put this immense number of bits and pieces back together again and see the patient as a whole? The first turning point is that proposed by René Descartes, who, inspired by dreams and visions, conceived the idea of unifying all scientific disciplines through the pervasive application of mathematics...
April 2024: Recenti Progressi in Medicina
https://read.qxmd.com/read/38525617/artificial-intelligence-ai-or-augmented-intelligence-how-big-data-and-ai-are-transforming-healthcare-challenges-and-opportunities
#16
JOURNAL ARTICLE
K Moodley
The sanctity of the doctor-patient relationship is deeply embedded in tradition - the Hippocratic oath, medical ethics, professional codes of conduct, and legislation - all of which are being disrupted by big data and 'artificial' intelligence (AI). The transition from paper-based records to electronic health records, wearables, mobile health applications and mobile phone data has created new opportunities to scale up data collection. Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning...
December 31, 2023: South African Medical Journal
https://read.qxmd.com/read/38525218/molecular-property-diagnostic-suite-for-covid-19-mpds-covid-19-an-open-source-disease-specific-drug-discovery-portal
#17
JOURNAL ARTICLE
Lipsa Priyadarsinee, Esther Jamir, Selvaraman Nagamani, Hridoy Jyoti Mahanta, Nandan Kumar, Lijo John, Himakshi Sarma, Asheesh Kumar, Anamika Singh Gaur, Rosaleen Sahoo, S Vaikundamani, N Arul Murugan, U Deva Priyakumar, G P S Raghava, Prasad V Bharatam, Ramakrishnan Parthasarathi, V Subramanian, G Madhavi Sastry, G Narahari Sastry
UNLABELLED: Molecular Property Diagnostic Suite (MPDS) was conceived and developed as an open-source disease-specific web portal based on Galaxy. MPDSCOVID-19 was developed for COVID-19 as a one-stop solution for drug discovery research. Galaxy platforms enable the creation of customized workflows connecting various modules in the web server. The architecture of MPDSCOVID-19 effectively employs Galaxy v22.04 features, which are ported on CentOS 7.8 and Python 3.7. MPDSCOVID-19 provides significant updates and the addition of several new tools updated after six years...
2024: GigaByte
https://read.qxmd.com/read/38524857/exploiting-open-source-omics-data-to-advance-pancreas-research
#18
REVIEW
Gayathri Swaminathan, Toshie Saito, Sohail Z Husain
The "omics" revolution has transformed the biomedical research landscape by equipping scientists with the ability to interrogate complex biological phenomenon and disease processes at an unprecedented level. The volume of "big" data generated by the different omics studies such as genomics, transcriptomics, proteomics, and metabolomics has led to the concurrent development of computational tools to enable in silico analysis and aid data deconvolution. Considering the intensive resources and high costs required to generate and analyze big data, there has been centralized, collaborative efforts to make the data and analysis tools freely available as "Open Source," to benefit the wider research community...
March 2024: Journal of pancreatology
https://read.qxmd.com/read/38523815/using-healthcare-big-data-analytics-to-improve-women-s-health-benefits-challenges-and-perspectives
#19
JOURNAL ARTICLE
Heling Bao, Hui Liu, Linhong Wang
No abstract text is available yet for this article.
March 8, 2024: China CDC weekly
https://read.qxmd.com/read/38519626/digital-twins-for-health-a-scoping-review
#20
REVIEW
Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela Jackson, Ying Xiao, Tanveer Syeda-Mahmood, Richard Tuli, Jun Deng
The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life. The rapid growth of big data and continuous advancement in data science (DS) and artificial intelligence (AI) have the potential to significantly expedite DT research and development by providing scientific expertise, essential data, and robust cybertechnology infrastructure...
March 22, 2024: NPJ Digital Medicine
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