AIMC Topic: Data Science

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An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Dec 7, 2020
Drugs in solid dispersion (SD) take advantage of fast and extended dissolution, thus attains a higher bioavailability than the crystal form. However, current development of SD relies on a random large-scale formulation screening method with low effic...
Data Science Models, Biological Molecular Dynamics Simulation Machine Learning Drug Design Biological Availability Datasets as Topic Intestinal Absorption Administration, Oral Solubility Drug Liberation
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How Can Big Data Science Transform the Psychological Sciences?

The Spanish journal of psychology Nov 5, 2020
Big data and related technologies are radically altering our society. In a similar way, these approaches can transform the psychological sciences. The goal of this commentary is to motivate psychologists to embrace big data science for the betterment...
Machine Learning Big Data Humans Psychology Data Science
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The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.

Advances in health sciences education : theory and practice Nov 3, 2020
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has bee...
Statistics as Topic Humans Machine Learning Health Occupations Clinical Competence Data Science
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Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective.

Journal of healthcare engineering Aug 30, 2020
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) an...
Biomedical Research Delivery of Health Care Telemedicine Databases, Factual Big Data Medical Informatics Humans Electronic Health Records Data Science Cell Phone Artificial Intelligence Algorithms
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Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.

Methods (San Diego, Calif.) Jul 19, 2020
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last decade due to numerous technological breakthroughs. Imaging is now playing a critical role on deployment of the clinical workflow, both for treatment plan...
Prognosis Tomography, X-Ray Computed Risk Assessment Humans Machine Learning Magnetic Resonance Imaging Radiation Oncology Neoplasm Recurrence, Local Neoplasms Data Science Image Processing, Computer-Assisted Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted
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Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Chemical reviews Jun 10, 2020
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal-organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues but also create new challenges. We simply have too m...
Surface Properties Machine Learning Data Science Particle Size Metal-Organic Frameworks Porosity Materials Testing
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Data science and machine learning in anesthesiology.

Korean journal of anesthesiology Mar 25, 2020
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods that are largely inference-based, ML is geared more towards making accurate predictions. ML is a field of artificial intelligence concerned with devel...
Data Interpretation, Statistical Anesthesiology Humans Data Science Machine Learning Blood Glucose Databases, Factual Diabetes Mellitus Electronic Health Records
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Advanced Data Analytics for Clinical Research Part II: Application to Cardiothoracic Surgery.

Innovations (Philadelphia, Pa.) Feb 28, 2020
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances ...
Surgeons Big Data Data Science Monitoring, Physiologic Natural Language Processing Data Mining Female Communication Medical Order Entry Systems Thoracic Surgical Procedures Humans Male Digital Technology Equipment Failure Analysis Internet of Things Clinical Protocols Health Care Sector
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Advanced Data Analytics for Clinical Research Part I: What are the Tools?

Innovations (Philadelphia, Pa.) Feb 28, 2020
The concept of Big Data is changing the way that clinical research can be performed. Cardiothoracic surgeons need to understand the dynamic digital transformation taking place in the healthcare industry. In the last decade, technological advances and...
Health Care Sector Humans Data Mining Thoracic Surgical Procedures Surgeons Digital Technology Clinical Protocols Big Data Internet of Things Data Science Natural Language Processing
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Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance.

Bulletin of the World Health Organization Feb 25, 2020
Technological advances in big data (large amounts of highly varied data from many different sources that may be processed rapidly), data sciences and artificial intelligence can improve health-system functions and promote personalized care and public...
Data Science Insurance, Health Artificial Intelligence Trust Big Data
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