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Artificial intelligence applied to clinical trials: opportunities and challenges
S Askin, D Burkhalter, G Calado, S El Dakrouni - Health and technology, 2023 - Springer
Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …
development. Given the evolving data-driven and personalized medicine approach in …
[HTML][HTML] Trends in using IoT with machine learning in health prediction system
A Aldahiri, B Alrashed, W Hussain - Forecasting, 2021 - mdpi.com
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
The COVID-19 global pandemic is a threat not only to the health of millions of individuals,
but also to the stability of infrastructure and economies around the world. The disease will …
but also to the stability of infrastructure and economies around the world. The disease will …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Artificial intelligence for quantitative modeling in drug discovery and development: an innovation and quality consortium perspective on use cases and best practices
Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) have ushered
in a new era of possibilities across various scientific domains. One area where these …
in a new era of possibilities across various scientific domains. One area where these …
[HTML][HTML] Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products
Abstract Three-dimensional (3D) printing is drastically redefining medicine production,
offering digital precision and personalized design opportunities. One emerging 3D printing …
offering digital precision and personalized design opportunities. One emerging 3D printing …
Estimating the effects of continuous-valued interventions using generative adversarial networks
While much attention has been given to the problem of estimating the effect of discrete
interventions from observational data, relatively little work has been done in the setting of …
interventions from observational data, relatively little work has been done in the setting of …
Causal deep learning
Causality has the potential to truly transform the way we solve a large number of real-world
problems. Yet, so far, its potential largely remains to be unlocked as causality often requires …
problems. Yet, so far, its potential largely remains to be unlocked as causality often requires …
A review of the machine learning algorithms for COVID-19 case analysis
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …