AIMC Topic: Clinical Trials as Topic
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A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data.
Computational and mathematical methods in medicine
Nov 28, 2021
BACKGROUND: Studies focusing on prediction models are widespread in medicine. There is a trend in applying machine learning (ML) by medical researchers and clinicians. Over the years, multiple ML algorithms have been adapted to censored data. However...
Clinical Trials as Topic
Female
Male
Proportional Hazards Models
Computational Biology
Algorithms
Clinical Trials, Phase III as Topic
Randomized Controlled Trials as Topic
Humans
Computer Simulation
Data Interpretation, Statistical
Neural Networks, Computer
Prognosis
Machine Learning
Osteosarcoma
Bone Neoplasms
Prospective pilot study protocol evaluating the safety and feasibility of robot-assisted nipple-sparing mastectomy (RNSM).
BMJ open
Nov 15, 2021
INTRODUCTION: Nipple-sparing mastectomy (NSM) can be performed for the treatment of breast cancer and risk reduction, but total mammary glandular excision in NSM can be technically challenging. Minimally invasive robot-assisted NSM (RNSM) has the pot...
Treatment selection using prototyping in latent-space with application to depression treatment.
PloS one
Nov 12, 2021
Machine-assisted treatment selection commonly follows one of two paradigms: a fully personalized paradigm which ignores any possible clustering of patients; or a sub-grouping paradigm which ignores personal differences within the identified groups. W...
Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study.
Scientific reports
Oct 29, 2021
The placebo effect across psychiatric disorders is still not well understood. In the present study, we conducted meta-analyses including meta-regression, and machine learning analyses to investigate whether the power of placebo effect depends on the ...
Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing.
Yearbook of medical informatics
Sep 3, 2021
OBJECTIVES: To analyze the content of publications within the medical NLP domain in 2020.
Bayesian Modeling for the Detection of Adverse Events Underreporting in Clinical Trials.
Drug safety
Jul 14, 2021
INTRODUCTION: Safety underreporting is a recurrent issue in clinical trials that can impact patient safety and data integrity. Clinical quality assurance (QA) practices used to detect underreporting rely on on-site audits; however, adverse events (AE...
Artificial intelligence and the future of life sciences.
Drug discovery today
Jul 8, 2021
Over the past few decades, the number of health and 'omics-related data' generated and stored has grown exponentially. Patient information can be collected in real time and explored using various artificial intelligence (AI) tools in clinical trials;...
Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1.
PloS one
Jun 28, 2021
OBJECTIVES: Antidepressants are first-line treatments for major depressive disorder (MDD), but 40-60% of patients will not respond, hence, predicting response would be a major clinical advance. Machine learning algorithms hold promise to predict trea...
Flexibility in Drug Product Development: A Perspective.
Molecular pharmaceutics
Jun 24, 2021
The process of bringing a drug to market involves innumerable decisions to refine a concept into a final product. The final product goes through extensive research and development to meet the target product profile and to obtain a product that is man...
Learning and confirming a class of treatment responders in clinical trials.
Statistics in medicine
Jun 14, 2021
Clinical trials require substantial effort and time to complete, and regulatory agencies may require two successful efficacy trials before approving a new drug. One way to improve the chance of follow-up success is to identify a subpopulation among w...
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