AIMC Topic: Big Data
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Machine learning in pharmacometrics: Opportunities and challenges.
British journal of clinical pharmacology
Mar 17, 2021
The explosive growth in medical devices, imaging and diagnostics, computing, and communication and information technologies in drug development and healthcare has created an ever-expanding data landscape that the pharmacometrics (PMX) research commun...
Deus ex machina? Demystifying rather than deifying machine learning.
The Journal of thoracic and cardiovascular surgery
Mar 11, 2021
Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.
Science and engineering ethics
Mar 8, 2021
This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)-using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues th...
The concept of justifiable healthcare and how big data can help us to achieve it.
BMC medical informatics and decision making
Mar 6, 2021
Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in health care is not holistic and hence in...
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 5, 2021
The vast amount of data produced by today's medical imaging systems has led medical professionals to turn to novel technologies in order to efficiently handle their data and exploit the rich information present in them. In this context, artificial in...
Artificial intelligence in cancer research: learning at different levels of data granularity.
Molecular oncology
Feb 20, 2021
From genome-scale experimental studies to imaging data, behavioral footprints, and longitudinal healthcare records, the convergence of big data in cancer research and the advances in Artificial Intelligence (AI) is paving the way to develop a systems...
Artificial intelligence, machine learning, and drug repurposing in cancer.
Expert opinion on drug discovery
Feb 12, 2021
: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new medical indications. Several machine learning (ML) and artificial intelligence (AI) approaches have been developed for systematic identification of drug repurposin...
Multifidelity computing for coupling full and reduced order models.
PloS one
Feb 11, 2021
Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal scales and comprise a mult...
Cognitive analysis of metabolomics data for systems biology.
Nature protocols
Jan 22, 2021
Cognitive computing is revolutionizing the way big data are processed and integrated, with artificial intelligence (AI) natural language processing (NLP) platforms helping researchers to efficiently search and digest the vast scientific literature. M...
Machine Learning for Clinical Outcome Prediction.
IEEE reviews in biomedical engineering
Jan 22, 2021
Clinical decision-making in healthcare is already being influenced by predictions or recommendations made by data-driven machines. Numerous machine learning applications have appeared in the latest clinical literature, especially for outcome predicti...
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