AIMC Topic: Clinical Trials as Topic
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Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet.
Drug discovery today
Dec 17, 2020
Although artificial intelligence (AI) has had a profound impact on areas such as image recognition, comparable advances in drug discovery are rare. This article quantifies the stages of drug discovery in which improvements in the time taken, success ...
Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.
Journal of evidence-based medicine
Nov 13, 2020
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
Accuracy of machine learning-based prediction of medication adherence in clinical research.
Psychiatry research
Nov 4, 2020
Medication non-adherence represents a significant barrier to treatment efficacy. Remote, real-time measurement of medication dosing can facilitate dynamic prediction of risk for medication non-adherence, which in-turn allows for proactive clinical in...
The use of geroprotectors to prevent multimorbidity: Opportunities and challenges.
Mechanisms of ageing and development
Nov 2, 2020
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the common approach is to treat each disease separately. As age-associated diseases have common underlying mechanisms there is potential to tackle many diseas...
Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement.
Annals of the rheumatic diseases
Oct 7, 2020
OBJECTIVE: We sought to determine histologic and gene expression features of clinical improvement in early diffuse cutaneous systemic sclerosis (dcSSc; scleroderma).
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.
PloS one
Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
The Lancet. Digital health
Sep 9, 2020
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent eva...
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.
The Lancet. Digital health
Sep 9, 2020
The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency in the evaluation of new interventions. More recently, there has been a growing recognition that...
Guiding better design and reporting of AI-intervention trials.
The Lancet. Digital health
Sep 9, 2020
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension.
BMJ (Clinical research ed.)
Sep 9, 2020
The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency when evaluating new interventions. More recently, t...
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