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Social Media Analytics and New Product Development
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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However, this data, generated on social media platforms, is highly unstructured in nature that needs to be organized before suitable inferences can be drawn to facilitate the decision making by the organizations ...
generated on social media for enhancing the new product development process. ...
The technological development in social media analytics may facilitate real-time data mining and text mining to facilitate real-time decision making and to create a competitive advantage for the organizations ...
doi:10.35940/ijitee.k1991.0981119
fatcat:exv6v5d6gvcj5ljrazewwrnmyi
Big Data Skills Sustainable Development in Healthcare and Pharmaceuticals
2020
Journal of medical systems
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including how various internal functions will need to adapt to new circumstances with renewed competency and skills development programs for departments that are strongly connected to the business and ...
in the market, where most of the organizational structures are already struggling with the right skills and knowledge to fully support existing business needs for storing and processing and even analyzing ...
data into a better and more informed decision support processes and reveal meaningful business insights and data outputs to scrutinize business models and business approaches. ...
doi:10.1007/s10916-020-01665-9
pmid:33034743
fatcat:nmuoqdgg2ffrxfqhknb42puvre
Machine learning applications in drug development
2019
Computational and Structural Biotechnology Journal
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This automation of the drug development process might be key to the current issue of low productivity rate that pharmaceutical companies currently face. ...
Due to the huge amount of biological and medical data available today, along with well-established machine learning algorithms, the design of largely automated drug development pipelines can now be envisioned ...
For example, some rely on automatic processing of Electronic Health Records (EHR), clinical trial data, and text mining methods to identify correlations between drug molecules and gene or protein targets ...
doi:10.1016/j.csbj.2019.12.006
pmid:33489002
pmcid:PMC7790737
fatcat:mzajel2esnbuxf3dlrddbhlmvu
Decision Support Systems for Pharmaceutical Formulation Development Based on Artificial Neural Networks
[chapter]
2010
Decision Support Systems
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Empirical modeling as decision support systems (DSS):
General remarks Decision support systems (DSS) are usually computer information processing tools that support decision-making activities in the field ...
DSS exploit every available techniques of data processing in the benefit of accuracy of decision making support. ...
Decision Support Systems for Pharmaceutical Formulation Development Based on Artificial Neural Networks, Decision Support Systems, Chiang S. ...
doi:10.5772/39468
fatcat:vpbpub4gnrcvfbtqpgfotjo33a
Development of Novel Big Data Analytics Framework for Smart Clothing
2020
IEEE Access
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Modern visualised techniques are yet to apply achieving actual insight of the analysed data for making accurate health decision. ...
ANALYTICS It is a challenge to select appropriate platform based on data characteristics for accommodating required insights to make accurate decision. ...
Mominul Ahsan is a Postdoctoral hardware and software platforms, and algorithms for data analysis and cyber security purposes. ...
doi:10.1109/access.2020.3015152
fatcat:xmu5qslkhneu5jix7xgngtwqge
Cardiovascular Drug Development
2015
Journal of the American College of Cardiology
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To work toward consensus on improving the environment for cardiovascular drug development, stakeholders from academia, industry, regulatory bodies, and government agencies convened for a think tank meeting ...
This paper summarizes the proceedings of the meeting and aims to delineate the current adverse trends in cardiovascular drug development, understand the key issues that underlie these trends within the ...
As discussed in the following text, the reasons for these trends are multifactorial. ...
doi:10.1016/j.jacc.2015.03.016
pmid:25881939
fatcat:r7qd67lqcvgvle246b4kjqguii
QUADS
2014
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14
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Traditional decision support systems (DSSs) have been developed to address this need, but such systems are typically expensive to build, and are purpose-built for a particular decision-making scenario, ...
from review texts, an everyday decision-making situation faced by online consumers. ...
The authors would like to thank the Roche BioQA project team for their helpful discussion and suggestions. ...
doi:10.1145/2600428.2609606
dblp:conf/sigir/YangLCN14
fatcat:ajqh7hu7trbdpelf4rawzei7fq
Real world big data for clinical research and drug development
2018
Drug Discovery Today
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The objective of this paper is to identify the extent to which real world data (RWD) is being utilized, or could be utilized, at scale in drug development. ...
We believe that pharma needs to invest in making better use of EHRs and the need for more precompetitive collaboration to grow the scale of this 'big denominator' capability, especially given the needs ...
Authors thank Nuala Moran, Anna Ludlow and Petra Naster for their support. ...
doi:10.1016/j.drudis.2017.12.002
pmid:29294362
fatcat:x7h4lgmpprb4bnp2swef6ajnbm
Role of Knowledge Management in Development and Lifecycle Management of Biopharmaceuticals
2016
Pharmaceutical Research
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A comprehensive set of 356 publications addressing the applications of KM tools to QbD-related tasks were screened and a query to gather industrial inputs from 17 major biopharmaceutical organizations ...
A proposed categorization of 16 distinct KM tool classes allowed for the identification of holistic technologies supporting QbD. ...
of a system and is a reference for supporting appropriate decision making. ...
doi:10.1007/s11095-016-2043-9
pmid:27785590
pmcid:PMC5236082
fatcat:2w7k5pmowbbnvlrfwqtsniajnq
Basal Signaling Suppresses RAG Genes during T Cell Development
2003
PLoS Biology
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Acknowledgments We are grateful to Drs. ...
Ranford-Cartwright (University of Glasgow, Glasgow, United Kingdom), Ayoade Oduola and Yeya Toure (World Health Organization, Geneva, Switzerland), and Wilfred Mbacham (University of Yaounde, Yaounde, Cameroon) for ...
Text-mining and its more universal relative "information retrieval" are still in their infancy. The first paper on text-mining for biology was published only in 1997. ...
doi:10.1371/journal.pbio.0000063
fatcat:4e2eeawkofazxai6tj47ypjaoi
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
2021
Pathogens
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In this review, we focus on the potential of Artificial Intelligence (AI) in COVID-19 surveillance, diagnosis, outcome prediction, drug discovery and vaccine development. ...
With the help of big data, AI tries to mimic the cognitive capabilities of a human brain, such as problem-solving and learning abilities. ...
Acknowledgments: The authors would like to thank Andaleeb Sajid for the critical reading of the manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/pathogens10081048
pmid:34451513
pmcid:PMC8399076
fatcat:jbr57fvnivd3fkix2n2y477xce
Utilization and Monetization of Healthcare Data in Developing Countries
2015
Big Data
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While an increasing number of programs leverage CHWs for last mile data collection, a fundamental challenge to such programs is the lack of tangible incentives for the CHWs. ...
This article describes potential applications of health data in developing countries and reviews the challenges to reliable data collection. ...
Acknowledgments Special thanks to Steve Suffian for advice and editing.
Author Disclosure Statement No competing financial interests exist. ...
doi:10.1089/big.2014.0053
pmid:26487984
pmcid:PMC4605478
fatcat:2kqbfqo4brfwdaj7r6ph4gmfdm
Toward the Clinic: Understanding Patient Perspectives on AI and Data-Sharing for AI-Driven Oncology Drug Development
[chapter]
2020
Artificial Intelligence in Oncology Drug Discovery and Development
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on sharing health data (including genetic data) for drug development. ...
The increasing application of AI-led systems for oncology drug development and patient care holds the potential to usher pronounced impacts for patients' well-being. ...
One patient elaborated: "As for [AI systems] making decisions, I don't think it's the way to go. ...
doi:10.5772/intechopen.92787
fatcat:joextvcnovht5ncjwcz4e7s4r4
Deep Learning Technology: A Vital Tool for National Development
2019
International Journal of Engineering Research and
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This paper focuses on the study of deep learning technology as a vital tool for national development. There are many problems hindering the growth of most developing nations. ...
that provides permanent solution to such problems. ...
Another capability virtual assistants are endowed with is to translate your speech to text, make notes for you, and book appointments. ...
doi:10.17577/ijertv8is070161
fatcat:dqeuc4hkofdcdgcmocya4v44te
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
2021
Symmetry
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This insightful review aims to highlight existing AI-based technological developments and future research dynamics in this area. ...
To this end, we provide an insightful overview of the role of data-driven analytics leveraging AI in the era of COVID-19. ...
ML integrated with PB Sampling of relevant chemical space for target proteins analysis to make pandemic drugs Kabra et al. ...
doi:10.3390/sym14010016
fatcat:4ntcu4xdkrdsbbfz2aibwndefa
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