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
An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Cancer Research and Clinical Oncology"
DOI: 10.1007/s00432-025-06119-8
Abstract: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incidence rates and poor outcomes. This study seeks to develop a robust predictive model by integrating radiomics and deep learning features with clinical data… read more here.
Keywords: deep learning; ensemble model; handcrafted radiomics; radiomics deep ... See more keywords
Lumbar disc herniation modelling: a review of ex-vivo mechanical models and a comparison with clinical data
Sign Up to like & getrecommendations! Published in 2025 at "European Spine Journal"
DOI: 10.1007/s00586-025-09054-x
Abstract: Ex-vivo herniation models are essential for studying lumbar disc herniation mechanisms, but their morphological accuracy remains unclear due to limited validation against patient-derived clinical data. This review collates clinical lumbar disc herniation characteristics and evaluates… read more here.
Keywords: clinical data; lumbar disc; herniation; disc herniation ... 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
Usefulness of a new anthropomorphic phantom simulating the chest and abdomen regions in PET tests
Sign Up to like & getrecommendations! Published in 2024 at "Annals of Nuclear Medicine"
DOI: 10.1007/s12149-024-02007-2
Abstract: To investigate the clinical utility of a new anthropomorphic phantom that reproduces the chest and abdomen better than the conventional National Electrical Manufacturers Association (NEMA) body phantom, count rates and image quality of PET images… read more here.
Keywords: count; anthropomorphic phantom; count rates; 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