AIMC Topic: Data Science

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Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials.

Acta biomaterialia Feb 23, 2022
Conventional approaches to developing biomaterials and implants require intuitive tailoring of manufacturing protocols and biocompatibility assessment. This leads to longer development cycles, and high costs. To meet existing and unmet clinical needs...
Humans Artificial Intelligence Printing, Three-Dimensional Biocompatible Materials Machine Learning Data Science
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Proposing Novel Data Analytics Method for Anatomical Landmark Identification from Endoscopic Video Frames.

Journal of healthcare engineering Feb 23, 2022
BACKGROUND: The anatomical landmarks contain the characteristics that are used to guide the gastroenterologists during the endoscopy. The expert can also ensure the completion of examination with the help of the anatomical landmarks. Automatic detect...
Humans Data Science Gastrointestinal Tract Neural Networks, Computer Endoscopy
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Regional Economic Prediction Model Using Backpropagation Integrated with Bayesian Vector Neural Network in Big Data Analytics.

Computational intelligence and neuroscience Feb 16, 2022
Forecasting economic growth is critical for formulating national economic development policies. Neural Networks are a type of artificial intelligence that may be used to model complex target functions. ANN (Artificial Neural Networks) are one of the ...
Forecasting Data Science Bayes Theorem Artificial Intelligence Algorithms Neural Networks, Computer
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The challenges of explainable AI in biomedical data science.

BMC bioinformatics Jan 20, 2022
Delivery of Health Care Data Science Artificial Intelligence
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Automated Hyperspectral 2D/3D Raman Analysis Using the Learner-Predictor Strategy: Machine Learning-Based Inline Raman Data Analytics.

Analytical chemistry Dec 21, 2021
Synchronously detecting multiple Raman spectral signatures in two-dimensional/three-dimensional (2D/3D) hyperspectral Raman analysis is a daunting challenge. The underlying reasons notwithstanding the enormous volume of the data and also the complexi...
Spectrum Analysis, Raman Machine Learning Data Science Humans Neural Networks, Computer Artificial Intelligence
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Surgical data science - from concepts toward clinical translation.

Medical image analysis Nov 18, 2021
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional ...
Data Science Humans Machine Learning
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FROM NASA TO HEALTHCARE: REAL-TIME DATA ANALYTICS (MISSION CONTROL) IS RESHAPING HEALTHCARE SERVICES.

Perspectives in health information management Oct 1, 2021
This is a case study of the implementation of a data and analytics-enabled Mission Control at one of the largest healthcare service providers in the state of Washington. Using data analytics and artificial intelligence, CHI-Franciscan (one of the lar...
United States National Aeronautics and Space Administration Artificial Intelligence Delivery of Health Care Data Science United States Humans
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Artificial intelligence and the future of life sciences.

Drug discovery today Jul 8, 2021
Over the past few decades, the number of health and 'omics-related data' generated and stored has grown exponentially. Patient information can be collected in real time and explored using various artificial intelligence (AI) tools in clinical trials;...
Drug Development Natural Language Processing Artificial Intelligence Publishing Electronic Health Records Pharmacology Humans Data Science Mobile Applications Drug Design Biological Science Disciplines Clinical Trials as Topic Biotechnology
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A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy.

Computers in biology and medicine Jul 5, 2021
The prediction by classification of side effects incidence in a given medical treatment is a common challenge in medical research. Machine Learning (ML) methods are widely used in the areas of risk prediction and classification. The primary objective...
Algorithms Data Science Humans Machine Learning Models, Statistical
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A review of AI and Data Science support for cancer management.

Artificial intelligence in medicine May 24, 2021
INTRODUCTION: Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data ...
Male Neoplasms Quality of Life Data Science Artificial Intelligence Female Humans
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