IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research

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National Health Expenditure Projections, 2014–24: Spending Growth Faster Than Recent Trends

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Drug repurposing: progress, challenges and recommendations

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Artificial Intelligence Transforms the Future of Health Care

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The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

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A review on machine learning approaches and trends in drug discovery

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The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries

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Forty years of IVF

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Data Analytics, Innovation, and Firm Productivity

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Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis

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Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

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A Megatrend Challenging Analytical Chemistry: Biosensor and Chemosensor Concepts Ready for the Internet of Things

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An overview of deep learning in the field of dentistry

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Big data with cognitive computing: A review for the future

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Big data in lean six sigma: a review and further research directions

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Big data analytics for personalized medicine

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Cognitive Computing: Architecture, Technologies and Intelligent Applications

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Data Analytics Supports Decentralized Innovation

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Hybrid collective intelligence in a human–AI society

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Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis

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Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century

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Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis

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The emerging role of cognitive computing in healthcare: a systematic literature review

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Real-time big data processing for instantaneous marketing decisions: A problematization approach

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Big data and machine learning for materials science

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Growth hacking: Insights on data-driven decision-making from three firms

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Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

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Artificial intelligence in retail: The AI-enabled value chain

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Implementations in Machine Ethics

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How textual quality of online reviews affect classification performance: a case of deep learning sentiment analysis

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Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review

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Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence

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Clinical Text Mining

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Big data in humanitarian supply chain management: a review and further research directions

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CIoT-Net: a scalable cognitive IoT based smart city network architecture

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Leveraging Modern Artificial Intelligence for Remote Sensing and NWP: Benefits and Challenges

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Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners

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Recent Advances in Large Language Models for Healthcare

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Simulation for cybersecurity: state of the art and future directions

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The Impact of Artificial Intelligence in the Odyssey of Rare Diseases

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Enhancing Next-Generation Sequencing-Guided Cancer Care Through Cognitive Computing

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Organizational ambidexterity through global strategic partnerships: A cognitive computing perspective

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Informing immunotherapy with multi-omics driven machine learning

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Implementations in Machine Ethics A Survey

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Data integration and predictive modeling methods for multi-omics datasets

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Artificial intelligence in industrial design: A semi-automated literature survey

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Exploring AI-driven approaches for unstructured document analysis and future horizons

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HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians’ Expertise Incorporated

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Walk the talk: soft skills’ assessment of graduates

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Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections

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Cloud Computing in natural hazard modeling systems: Current research trends and future directions

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Advances of AI in image-based computer-aided diagnosis: A review

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Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings

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Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability

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Single-Subject Studies in Translational Nutrition Research

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Digital Transformation in Materials Science: A Paradigm Change in Material's Development

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Artificial intelligence in physical education: comprehensive review and future teacher training strategies

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AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications

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Metabolic rewiring of the hypertensive kidney

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Use of Artificial Intelligence in Healthcare Delivery

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Application of artificial intelligence in drug design: A review

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Applications of IoT in Healthcare

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The seven key challenges for the future of computer-aided diagnosis in medicine

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Artificial intelligence and lung cancer treatment decision: agreement with recommendation of multidisciplinary tumor board

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Surgical data science – from concepts toward clinical translation

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AI-driven innovations in pharmaceuticals: optimizing drug discovery and industry operations

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Failure to shorten the diagnostic delay in two ultra-orphan diseases (mucopolysaccharidosis types I and III): potential causes and implications

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Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream

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Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

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Artificial Intelligence in Small-Molecule Drug Discovery: A Critical Review of Methods, Applications, and Real-World Outcomes

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JAICOB: A Data Science Chatbot

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‘Cognitive facility management’: Definition, system architecture, and example scenario

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A General Use QSAR-ARX Model to Predict the Corrosion Inhibition Efficiency of Drugs in Terms of Quantum Mechanical Descriptors and Experimental Comparison for Lidocaine

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Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist

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Utilizing Advanced Technologies to Augment Pharmacovigilance Systems: Challenges and Opportunities

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Drug Repurposing - Hypothesis, Molecular Aspects and Therapeutic Applications

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Fuzzy-based concept-cognitive learning: An investigation of novel approach to tumor diagnosis analysis

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A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions

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Drug Repurposing: A Leading Strategy for New Threats and Targets

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Classification and Clustering Algorithms of Machine Learning with their Applications

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Yapay Zeka Olgusunun Güncel Sanat Çalışmalarındaki Açılımları

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Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences

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Developing deep learning methods for classification of teeth in dental panoramic radiography

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Artificial Intelligence and Machine Learning Implemented Drug Delivery Systems: A Paradigm Shift in the Pharmaceutical Industry

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Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful?

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A Review on Revolutionizing Healthcare Technologies with AI and ML Applications in Pharmaceutical Sciences

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To share or not to share? Expected pros and cons of data sharing in radiological research

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Involvement of the open-source community in combating the worldwide COVID-19 pandemic: a review

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Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics

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Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

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Drug repositioning for psychiatric and neurological disorders through a network medicine approach

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Looking beyond the cancer cell for effective drug combinations

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NLP-based techniques for Cyber Threat Intelligence

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Smart Machines

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