Machine learning for clinical trials in the era of COVID|19

Machine learning for clinical trials in the era of COVID-19 - PMC

Applying a dynamic online-learning-based framework offers the possibility to learn simultaneously about toxicity and efficacy of a new drug. Because this ...

Machine learning for clinical trials in the era of COVID-19 - PubMed

The world is in the midst of a pandemic. We still know little about the disease COVID-19 or about the virus (SARS-CoV-2) that causes it.

Machine Learning for Clinical Trials in the Era of COVID-19

... Machine learning techniques can help us determine the most effective treatment for each patient based on observation data from previous patients, as it ...

How machine learning can help to future-proof clinical trials ... - AI Hub

How machine learning can help to future-proof clinical trials in the era of COVID-19 ... The COVID-19 pandemic is the greatest global healthcare ...

How machine learning can help to future-proof clinical trials in the ...

Exploit the large body of data generated by the experimental and compassionate use of drugs to treat COVID-19 to select future drug target for ...

Machine Learning Could Help Reduce Hospitalizations by Nearly ...

A new study sheds light on a promising approach using machine learning to more effectively allocate medical treatments during a pandemic.

Revolutionizing Clinical Trials using Machine Learning

Machine learning forms a strong foundation for one to start tackling these challenges; it provides the fundamental tools and techniques that are necessary.

Clinical trials are becoming more complex: a machine learning ...

Here we present a large-scale analysis of protocols and other data from over 16,000 trials. Using a machine learning algorithm, we automatically ...

The role of machine learning in health policies during the COVID-19 ...

Next describes the application of machine learning methods in a series of study cases, including COVID-19 clinical diagnosis, the analysis of ...

The role of machine learning in clinical research - Trials

Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence ...

How AI is being used to accelerate clinical trials - Nature

Using Saama's AI-enabled technology, SDQ, they 'cleaned' data from more than 30,000 patients in a short time span. “It was the perfect use case ...

Machine Learning in Clinical Trials: A Primer with Applications to ...

We discussed ways in which ML may help to accelerate the pace of subject recruitment, provide realistic simulation of medical interventions, and enhance remote ...

Machine Learning Applied to COVID-19: A Review of the Initial ...

Only papers with AI/ML approaches for the diagnosis or outcome of patients with COVID-19 were considered. Maybe some relevant studies were lost, ...

The Opportunities and Challenges of Machine Learning in ...

The integration of ML into clinical trial data analysis presents unparalleled opportunities. ML has the potential to enhance efficiency and ...

Using Machine Learning to Identify a Suitable Patient Population

For example, AI/ML approaches can be applied to clinical trial ... The SAVEMORE trial enrolled adult patients with COVID-19 pneumonia who ...

Using Machine Learning to Rescue Clinical Trials in Trouble ... - AIwire

Artificial Intelligence helped researchers develop today's life-saving COVID-19 vaccines in less than a year – a pace faster than was ...

Machine learning for COVID-19—asking the right questions

Well before the COVID-19 pandemic, enthusiasm around machine learning-based technology in medical imaging had notably increased. Now, huge ...

Machine learning for clinical trials in the era of COVID-19 - OUCI

European Medicines Agency [EMA] (2020a), “Points to consider on implications of Coronavirus disease (COVID-19) on methodological aspects of ongoing clinical ...

Is Machine Learning a Better Way to Identify COVID-19 Patients ...

The IDENTIFY trial is the first clinical trial of a machine learning algorithm that identifies patients for whom a therapeutic intervention is ...

Novel method predicts if COVID-19 clinical trials will fail or succeed

... 19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning ... time of the clinical study.