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Keywords: Google
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Journal Article
Yujia Qin and others
Briefings in Bioinformatics, Volume 25, Issue Supplement_1, July 2024, bbae236, https://doi-org.libproxy.ucl.ac.uk/10.1093/bib/bbae236
Published: 23 July 2024
... with the Google Batch to process large-scale WGBS data Figure 6 Examples of expected results from the WGBS learning module. (A) FastQC reports from the quality control step in Submodules 1 and 3, showing the quality score across different positions of the sequence reads. (B) Bismark report and summary examples...
Journal Article
Kyle A O’Connell and others
Briefings in Bioinformatics, Volume 25, Issue Supplement_1, July 2024, bbae235, https://doi-org.libproxy.ucl.ac.uk/10.1093/bib/bbae235
Published: 23 July 2024
..., and more. As part of the NIH NIGMS Sandbox effort, we developed a learning module to introduce students to mass spectrometry terminology, normalization methods, statistical designs, and basics of R programming. By utilizing the Google Cloud environment, the learning module is easily accessible without...
Journal Article
Avinash M Veerappa and others
Briefings in Bioinformatics, Volume 25, Issue Supplement_1, July 2024, bbae090, https://doi-org.libproxy.ucl.ac.uk/10.1093/bib/bbae090
Published: 23 July 2024
... scalability, workflow optimization, infrastructure management, and open-source capabilities across various cloud platforms Feature/Aspect CloudATAC (Google Cloud) Galaxy Terra Nextflow Tower Integration and Environment Integrated with Vertex AI for unified ML tasks. Jupyter Notebook...
Journal Article
Hadassa Cristhina de Azevedo Soares dos Santos and others
FEMS Microbiology Letters, Volume 371, 2024, fnae033, https://doi-org.libproxy.ucl.ac.uk/10.1093/femsle/fnae033
Published: 24 May 2024
... with the “Adopt a Bacterium” methodology, implemented for the first time on Google Sites. The distance learning activity notably improved student participation in microbiology discussions, both through word cloud analysis and the richness of discourse measured by the Shannon index. Furthermore, feedback from...
Journal Article
Bailey C Buchanan and others
PNAS Nexus, Volume 3, Issue 5, May 2024, pgae173, https://doi-org.libproxy.ucl.ac.uk/10.1093/pnasnexus/pgae173
Published: 24 April 2024
... and quantified its extent with a flow rate measurement in less than 1 min. A smartphone and cloud-based Google Colab were used to analyze the flow rates automatically. A horizontal flow model and an immunoagglutination binding model were evaluated to optimize the detection time, sample dilution, and particle...
Journal Article
Miltiadis A Makrygiannakis and others
European Journal of Orthodontics, cjae017, https://doi-org.libproxy.ucl.ac.uk/10.1093/ejo/cjae017
Published: 13 April 2024
...Miltiadis A Makrygiannakis; Kostis Giannakopoulos; Eleftherios G Kaklamanos The objective of the present study is to explore the current evidence-based potential of Generative Artificial Intelligence LLMs in orthodontics by comparatively assessing the answers provided by four LLMs: Google’s Bard...
Journal Article
Zhuo Chen and others
European Heart Journal, Volume 45, Issue 17, 1 May 2024, Pages 1540–1549, https://doi-org.libproxy.ucl.ac.uk/10.1093/eurheartj/ehae158
Published: 28 March 2024
... and prevalence of cardiometabolic disease in US cities. Methods This cross-sectional study used features extracted from Google Street View (GSV) images to measure the built environment and link them with prevalence of coronary heart disease (CHD). Convolutional neural networks, linear mixed-effects models...
Journal Article
Michelle Bak and Jessie Chin
Journal of the American Medical Informatics Association, ocae057, https://doi-org.libproxy.ucl.ac.uk/10.1093/jamia/ocae057
Published: 25 March 2024
... shown success in identifying user intents semantically. Little is known about its capabilities to identify motivation states and provide appropriate information to facilitate behavior change progression. Materials and Methods We evaluated 3 GAs, ChatGPT, Google Bard, and Llama 2 in identifying...
Journal Article
Harpal Patel and Thomas A Shepherd
Published: 23 February 2024
... with the LBP disease burden in the UK. Methods To examine OHISB trends, we conducted Prais–Winsten analyses on monthly search volume data from Google Trends in the UK between 1 January 2004 and 1 December 2019. Cross-correlation analyses assessed the relationship between annual LBP search volume and LBP...
Journal Article
Giovanni Maria Iannantuono and others
The Oncologist, Volume 29, Issue 5, May 2024, Pages 407–414, https://doi-org.libproxy.ucl.ac.uk/10.1093/oncolo/oyae009
Published: 03 February 2024
... the ability of ChatGPT-4, ChatGPT-3.5, and Google Bard to answer questions related to immuno-oncology. ChatGPT-4 and ChatGPT-3.5 returned a higher proportion of responses, which were more accurate and comprehensive, than those returned by Google Bard, yielding highly reproducible and readable outputs...
Journal Article
Emma Parry and others
Health Promotion International, Volume 38, Issue 6, December 2023, daad152, https://doi-org.libproxy.ucl.ac.uk/10.1093/heapro/daad152
Published: 02 December 2023
...://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. GT is free and provides access to an unfiltered sample of real-time search requests made to Google. Data is anonymized, categorized and aggregated...
Journal Article
Long Chen and others
Stem Cells Translational Medicine, Volume 13, Issue 1, January 2024, Pages 60–68, https://doi-org.libproxy.ucl.ac.uk/10.1093/stcltm/szad074
Published: 04 November 2023
... in providing information on stem cell therapy. To address this gap, the present study compared the effectiveness of ChatGPT to Google in answering medical questions related to stem cell therapy. Methods The search term “stem cell therapy” was used to perform a Google web search, and the top 20 frequently...
Journal Article
Aparajita Bhandari and Rebecca Noone
Communication, Culture and Critique, Volume 16, Issue 3, September 2023, Pages 198–207, https://doi-org.libproxy.ucl.ac.uk/10.1093/ccc/tcad018
Published: 17 May 2023
...Aparajita Bhandari; Rebecca Noone We increasingly experience place through interfaces intertwined with the code and data of digital platforms ( Dodge & Kitchin, 2005 ). Platforms like Google Maps, Instagram, TripAdvisor, and Airbnb encourage us to use and produce location-based data to augment...
Journal Article
Charlotte G Rhodes and others
Journal of Medical Entomology, Volume 60, Issue 4, July 2023, Pages 664–679, https://doi-org.libproxy.ucl.ac.uk/10.1093/jme/tjad027
Published: 15 April 2023
... to be significantly higher in areas with a high incidence of West Nile neuroinvasive disease compared to areas with low WN disease incidence, suggesting that Cx. tarsalis is present in regions with a high incidence of disease. Culex tarsalis machine learning NDVI google earth engine West Nile...
Journal Article
Berlanty A Zayed and others
Postgraduate Medical Journal, Volume 99, Issue 1175, September 2023, Pages 962–975, https://doi-org.libproxy.ucl.ac.uk/10.1093/postmj/qgad012
Published: 09 March 2023
..., and Brazil showed a small peak during the COVID-19 outbreak in China. Australia’s RSV started to increase again from 23 February, preceding the increase in the new cases by 10 days as shown in Fig. 5 . A study from Italy used Spearman correlation to test if there was a correlation between Google search...
Journal Article
Joanna Kacprzyk and others
Annals of Botany, Volume 131, Issue 2, 1 February 2023, Pages 255–260, https://doi-org.libproxy.ucl.ac.uk/10.1093/aob/mcac149
Published: 16 February 2023
.... To achieve this, we adopted a culturomics approach (i.e. using big data to study human behaviour in the context of conservation; Michel et al., 2011 ) based on analyses of Google search engine and Wikipedia activities. We identified all plants mentioned in the script of Green Planet...
Journal Article
Krista Neumann and others
American Journal of Epidemiology, Volume 192, Issue 3, March 2023, Pages 430–437, https://doi-org.libproxy.ucl.ac.uk/10.1093/aje/kwac171
Published: 04 October 2022
... an undocumented threshold. Additionally, sampling variation needs to be considered, as the GHT-API estimates probabilities from a random sample that is updated once per day (2020 Google Health Trends API Getting Started Guide (unpublished document provided with API key)). The objective of this paper...
Journal Article
Chaz Rhodes and others
Current Zoology, Volume 69, Issue 3, June 2023, Pages 264–276, https://doi-org.libproxy.ucl.ac.uk/10.1093/cz/zoac050
Published: 07 July 2022
.... We combined iNaturalist data with Google Trends data to characterize regional variation in environmental interest. We discovered that lighter-colored snakes were more likely to be found on roads, as were snakes further south, west, and on warmer days. Once on a road, coloration did not influence...
Journal Article
Hannah C Cai and others
Current Developments in Nutrition, Volume 5, Issue 2, February 2021, nzab002, https://doi-org.libproxy.ucl.ac.uk/10.1093/cdn/nzab002
Published: 03 February 2021
...Hannah C Cai; Leanne E King; Johanna T Dwyer The computer's search history and cookies were cleared before beginning the search to ensure that past searches would not influence results. The search “dietary supplements for cancer” was conducted on 11 May 2020 by Rater 1. The Google™ search engine...
Journal Article
Lei Liu and others
Transactions of The Royal Society of Tropical Medicine and Hygiene, Volume 115, Issue 8, August 2021, Pages 878–885, https://doi-org.libproxy.ucl.ac.uk/10.1093/trstmh/traa147
Published: 26 November 2020
... all Google search data. In order to maintain comparisons among different terms, each data point is scaled to the total number of searches done over the selected location and time range to compare relative popularity. This ‘relative popularity’ is given in the form of the RSV (range 0–100), based...