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Social Media Analytics and New Product Development

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

António Pesqueira, Maria José Sousa, Álvaro Rocha
2020 Journal of medical systems  
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

Clémence Réda, Emilie Kaufmann, Andrée Delahaye-Duriez
2019 Computational and Structural Biotechnology Journal  
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]

Aleksander Mendyk, Renata Jachowicz
2010 Decision Support Systems  
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

M. Ahsan, S. H. Tea, A. Albarbar
2020 IEEE Access  
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

Christopher B. Fordyce, Matthew T. Roe, Tariq Ahmad, Peter Libby, Jeffrey S. Borer, William R. Hiatt, Michael R. Bristow, Milton Packer, Scott M. Wasserman, Ned Braunstein, Bertram Pitt, David L. DeMets (+9 others)
2015 Journal of the American College of Cardiology  
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


Zi Yang, Ying Li, James Cai, Eric Nyberg
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
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

Gurparkash Singh, Duane Schulthess, Nigel Hughes, Bart Vannieuwenhuyse, Dipak Kalra
2018 Drug Discovery Today  
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

Anurag S. Rathore, Oscar Fabián Garcia-Aponte, Aydin Golabgir, Bibiana Margarita Vallejo-Diaz, Christoph Herwig
2016 Pharmaceutical Research  
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  
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

Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, Nitisha Shrivastava, Richa Virmani, Tavpritesh Sethi
2021 Pathogens  
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

Joshua T. Bram, Boyd Warwick-Clark, Eric Obeysekare, Khanjan Mehta
2015 Big Data  
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]

Roberta Dousa
2020 Artificial Intelligence in Oncology Drug Discovery and Development  
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

Agbaraji E. C., Federal Polytechnic Nekede, Owerri
2019 International Journal of Engineering Research and  
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

Abdul Majeed, Seong Oun Hwang
2021 Symmetry  
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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