- Machine Learning First Response to COVID|19🔍
- Clinical Reporting and Drug Discovery🔍
- Machine Learning and Simulations for Clinical Trials🔍
- An Intent|to|Treat Analysis of Hydroxychloroquine🔍
- Machine Learning Maps Research Needs in COVID|19 Literature🔍
- AI/ML based studies on COVID|19 drug discovery🔍
- Machine learning to assist clinical decision|making during the ...🔍
- New AI|generated COVID drug enters Phase I clinical trials🔍
Machine learning for clinical trials in the era of COVID|19
Machine Learning First Response to COVID-19: A Systematic ...
Objective: This systematic review aims to identify original research studies involving actual patient data to construct ML- and AI-based models for clinical ...
Clinical Reporting and Drug Discovery: An Overview of AI's Impact in ...
Another potential benefit of this new technology is that trial outcomes could be obtained much sooner. Spearheaded by the Covid-19 outbreak, we ...
Machine Learning and Simulations for Clinical Trials - DDReg pharma
Patient Recruitment and Retention: · Personalized Treatment Plans: · Real-time Data Monitoring and Analysis: · Predictive Analytics: · Automation ...
An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without ...
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to ... 19: efficacy, safety and clinical trials . Life Sci . 2020. ;. 254.
Machine Learning Maps Research Needs in COVID-19 Literature
When applied to the COVID-19 Open Research Dataset, dimensionality reduction suggests that COVID-19 studies to date are primarily clinical, modeling, or field ...
AI/ML based studies on COVID-19 drug discovery - ResearchGate
... ... These applications demonstrate how AI and machine learning play a crucial role in accelerating the discovery of effective drugs, vaccines, and treatment ...
Machine learning to assist clinical decision-making during the ...
The number of cases from the coronavirus disease 2019 (COVID-19) global pandemic has overwhelmed existing medical facilities and forced ...
New AI-generated COVID drug enters Phase I clinical trials - Fox News
Insilico Medicine recently announced that its new AI-designed drug for COVID-19 has entered Phase I clinical trials.
Introduction - Rethinking Clinical Trials
AI-powered systems rely on computers that embed machine learning (ML) to analyze large datasets and discover patterns across them. AI/ML thus ...
Utilizing machine learning for survival analysis to identify risk factors ...
Analyzing clinical data using AI models can provide vital information for clinician to measure the risk of morbidity and mortality of COVID-19 ...
The Development and Validation of Simplified Machine Learning ...
Background: The current COVID-19 pandemic is unprecedented; under resource-constrained settings, predictive algorithms can help to stratify ...
Next-generation clinical trials - van der Schaar Lab
In recent years, there has been a growing trend to leverage ML approaches, especially tools from reinforcement learning (RL) such as Markov decision processes ...
Exploring the Potential of Artificial Intelligence and Machine ...
Machine learning algorithms have been put in place for the screening of SARS-CoV-2 assay through the use of a CRISPR-based virus detection ...
How Castor supports COVID-PREDICT: Machine Learning to fight ...
The COVID-PREDICT project is developing a machine learning solution for management of COVID-19 patient transfers to the ICU, using Castor's ...
How AI, automation, and machine learning are upgrading clinical trials
AI and machine learning offer opportunities to increase efficiency, quality, and speed at every stage of clinical trials.
Artificial intelligence and machine learning to fight COVID-19
A centralized collection of worldwide COVID-19 patient data will be beneficial for future artificial intelligence and machine learning research to develop ...
Using Machine Learning to Determine a Suitable Patient Population ...
This was the first time that the US Food and Drug Administration (FDA) used artificial intelligence (AI)/ML to determine a suitable population ...
Forward Thinking for the Integration of AI into Clinical Trials - ACRP
Further, deep learning models can be trained to continuously analyze and interpret patient data for individual patients and across cohorts. This ...
Rethinking drug design in the artificial intelligence era. Nat Rev. Drug ... The role of machine learning in clinical research: transforming the future ...
Behind Covid-19 vaccine development | MIT News
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid- ...