The Drug Titration Paradox: Correlation of More Drug With Less Effect in Clinical Data
Sign Up to like & getrecommendations! Published in 2021 at "Clinical Pharmacology and Therapeutics"
DOI: 10.1002/cpt.2162
Abstract: While analyzing clinical data where an anesthetic was titrated based on an objective measure of drug effect, we observed paradoxically that greater effect was associated with lesser dose. With this study we sought to find… read more here.
Keywords: titration paradox; titration; effect; drug ... See more keywords
Validity of major osteoporotic fracture diagnosis codes in the Clinical Data Analysis and Reporting System in Hong Kong
Sign Up to like & getrecommendations! Published in 2017 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.4208
Abstract: Large medical record databases facilitate epidemiology research in fracture. However, the validity of fracture in the databases is needed to ensure the reliability of data. We aimed to assess the validity of International Classification of… read more here.
Keywords: data analysis; fracture; analysis reporting; clinical data ... See more keywords
Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9089-4_14
Abstract: The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an… read more here.
Keywords: machine; big data; machine learning; treatment ... See more keywords
Emerging strategies for TNBC with early clinical data: new chemoimmunotherapy strategies
Sign Up to like & getrecommendations! Published in 2022 at "Breast Cancer Research and Treatment"
DOI: 10.1007/s10549-022-06547-x
Abstract: The use of immune checkpoint inhibitors in combination with chemotherapy for the treatment of triple-negative breast cancer is becoming more widespread as efficacy data accumulates. However, outcomes remain less than optimal and not all patients… read more here.
Keywords: immune checkpoint; breast cancer; checkpoint; clinical data ... See more keywords
Combination of radiotherapy and immune treatment: First clinical data.
Sign Up to like & getrecommendations! Published in 2018 at "Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique"
DOI: 10.1016/j.canrad.2018.07.128
Abstract: There is a very strong biological and pre-clinical rationale for combining radiotherapy with immune treatment. Radiation affects all steps in the immune response to antigens and clearly upregulates key-molecules on the cancer cell and in… read more here.
Keywords: combination; radiotherapy immune; treatment; radiotherapy ... See more keywords
What can millions of laboratory test results tell us about the temporal aspect of data quality? Study of data spanning 17 years in a clinical data warehouse
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.12.030
Abstract: OBJECTIVE To identify common temporal evolution profiles in biological data and propose a semi-automated method to these patterns in a clinical data warehouse (CDW). MATERIALS AND METHODS We leveraged the CDW of the European Hospital… read more here.
Keywords: evolution; laboratory test; data warehouse; test results ... See more keywords
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104304
Abstract: Objective To develop prognostic models for survival (alive or deceased status) prediction of COVID-19 patients using clinical data (demographics and history, laboratory tests, visual scoring by radiologists) and lung/lesion radiomic features extracted from chest CT… read more here.
Keywords: using clinical; covid patients; radiomic features; value ... See more keywords
Deep Learning-based Recurrence Prediction in Patients with Non-muscle-invasive Bladder Cancer.
Sign Up to like & getrecommendations! Published in 2020 at "European urology focus"
DOI: 10.1016/j.euf.2020.12.008
Abstract: BACKGROUND Non-muscle-invasive bladder cancer (NMIBC) is characterized by frequent recurrence of the disease, which is difficult to predict. OBJECTIVE To combine digital histopathology slides with clinical data to predict 1- and 5-yr recurrence-free survival of… read more here.
Keywords: bladder cancer; recurrence; histopathology; deep learning ... See more keywords
Artificial intelligence based clinical data management systems: A review
Sign Up to like & getrecommendations! Published in 2017 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2017.09.003
Abstract: Abstract The clinical data management system is widely used to manage the data that is collected during the clinical trials. This system offers various comfortable methods via which the data can be collected, managed and… read more here.
Keywords: based clinical; management; intelligence based; artificial intelligence ... See more keywords
PP164 Improving Medical Diagnosis Through Advanced Data Analytics Tools
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Technology Assessment in Health Care"
DOI: 10.1017/s0266462319002630
Abstract: Introduction Current clinical practice is based on guidelines and local protocols that are informed by clinical evidence. This means that clinical variability is reduced, but can lead to inefficient clinical decision-making, and can increase medical… read more here.
Keywords: data analytics; clinical practice; advanced data; analytics tools ... See more keywords
Utility of hairless rats as a model for predicting transdermal pharmacokinetics in humans
Sign Up to like & getrecommendations! Published in 2019 at "Xenobiotica"
DOI: 10.1080/00498254.2019.1703059
Abstract: Abstract This study investigated the use of HWY hairless rats to predict human plasma concentrations of drugs following dermal application. Utilizing a deconvolution method, pharmacokinetic parameters (e.g. in vivo absorption rates) were determined for six… read more here.
Keywords: hair follicle; hairless rats; hairless; hydrophilic compounds ... See more keywords