Metastasis risk stratification and response prediction through dynamic viable circulating tumor cell counts for rectal cancer in a neoadjuvant setting.
Sign Up to like & getrecommendations! Published in 2023 at "Cancer medicine"
DOI: 10.1002/cam4.5860
Abstract: Distant metastasis (DM) and neoadjuvant treatment response prediction remain critical challenges in the management of locally advanced rectal cancer (LARC). The aim of this study was to investigate the clinical relevance of viable circulating tumor… read more here.
Keywords: circulating tumor; viable circulating; rectal cancer; response ... See more keywords
External validation of the natriuretic response prediction equation to discriminate diuretic response in heart failure
Sign Up to like & getrecommendations! Published in 2024 at "ESC Heart Failure"
DOI: 10.1002/ehf2.14801
Abstract: Incomplete decongestion due to lack of titration of diuretics to effective doses is a common reason for readmission in patients with acute decompensated heart failure (ADHF). The natriuretic response prediction equation (NRPE) is a novel… read more here.
Keywords: response prediction; natriuretic response; response; heart failure ... See more keywords
Ensemble Learning for Early‐Response Prediction of Antidepressant Treatment in Major Depressive Disorder
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27029
Abstract: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine‐learning methods, prediction models have proved to be valuable for baseline prediction. read more here.
Keywords: response prediction; early response; treatment; learning early ... See more keywords
Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-023-02266-2
Abstract: In quest of improving the productivity and efficiency of manufacturing processes, Artificial Intelligence (AI) is being used extensively for response prediction, model dimensionality reduction, process optimization, and monitoring. Though having superior accuracy, AI predictions are… read more here.
Keywords: response prediction; xai; manufacturing processes; manufacturing ... See more keywords
Drug response prediction in high-risk multiple myeloma.
Sign Up to like & getrecommendations! Published in 2018 at "Gene"
DOI: 10.1016/j.gene.2017.10.071
Abstract: A Drug Response Prediction (DRP) score was developed based on gene expression profiling (GEP) from cell lines and tumor samples. Twenty percent of high-risk patients by GEP70 treated in Total Therapy 2 and 3A have… read more here.
Keywords: response; high risk; drug response; drp score ... See more keywords
Cancer cell lines as patient avatars for drug response prediction
Sign Up to like & getrecommendations! Published in 2018 at "Nature Genetics"
DOI: 10.1038/s41588-018-0245-2
Abstract: Patient-derived cancer cell lines could address two major challenges in oncology: real-time drug response prediction and the creation of massive knowledge banks. A new study showcases the power of this approach for precision oncology. read more here.
Keywords: cell lines; drug response; cancer cell; oncology ... See more keywords
Probabilistic evaluation of combination rules for seismic response prediction of horizontally curved RC bridges under varying earthquake incidence angles
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-10041-x
Abstract: This study presents a comprehensive probabilistic evaluation of seismic response prediction methods for horizontally curved reinforced concrete (RC) bridges under bidirectional earthquake excitations with varying incident angles. A total of 14 bridge models—comprising both straight… read more here.
Keywords: horizontally curved; seismic response; combination; combination rules ... See more keywords
An overview of machine learning methods for monotherapy drug response prediction.
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab408
Abstract: For an increasing number of preclinical samples, both detailed molecular profiles and their responses to various drugs are becoming available. Efforts to understand, and predict, drug responses in a data-driven manner have led to a… read more here.
Keywords: drug; machine learning; response prediction; drug response ... See more keywords
GADRP: graph convolutional networks and autoencoders for cancer drug response prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac501
Abstract: Drug response prediction in cancer cell lines is of great significance in personalized medicine. In this study, we propose GADRP, a cancer drug response prediction model based on graph convolutional networks (GCNs) and autoencoders (AEs).… read more here.
Keywords: cancer drug; prediction; drug response; drug ... See more keywords
Response prediction for repetitive transcranial magnetic stimulation treatment
Sign Up to like & getrecommendations! Published in 2025 at "Current Opinion in Psychiatry"
DOI: 10.1097/yco.0000000000001026
Abstract: Purpose of review While rTMS is a safe therapeutic option, its efficacy remains to be improved. Patients with treatment-resistant depression show 50–60% response rates and 30–40% remission rates to standard 10 Hz rTMS protocols. Response prediction… read more here.
Keywords: treatment; response; stimulation; rtms ... See more keywords
Electromagnetic Response Prediction for Frequency Selective Surface Based on a Concatenated Structure With EWC Regularization Strategy
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Electromagnetic Compatibility"
DOI: 10.1109/temc.2024.3427415
Abstract: In this article, a deep learning model of precise electromagnetic (EM) response prediction for frequency selective surface (FSS) is proposed, incorporating both a new regularized learning strategy and a concatenated model structure. The preliminary prediction… read more here.
Keywords: ewc regularization; response; prediction; response prediction ... See more keywords