AIMC Topic: Antineoplastic Combined Chemotherapy Protocols
Clear Filters Showing 41 to 50 of 137 articles
A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer.
Journal of cancer research and clinical oncology
Mar 24, 2022
PURPOSE: Most of Stage II/III colorectal cancer (CRC) patients can be cured by surgery alone, and only certain CRC patients benefit from adjuvant chemotherapy. Risk stratification based on deep-learning from haematoxylin and eosin (H&E) images has be...
Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.
Computational and mathematical methods in medicine
Jan 10, 2022
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increases pain. The study is aimed at establishing the prediction model of infection in patients with lung cancer during chemotherapy by an artificial neural...
Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.
Nature communications
Nov 17, 2021
In current clinical practice, tumor response assessment is usually based on tumor size change on serial computerized tomography (CT) scan images. However, evaluation of tumor response to anti-vascular endothelial growth factor therapies in metastatic...
Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
BMC cancer
Oct 30, 2021
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-checkpoint inhibitor plus chemotherapy (ICI + CT) in patients with advanced esophageal squamous cell carcinoma (ESCC).
Esophageal Neoplasms
Combined Modality Therapy
Carboplatin
Docetaxel
Treatment Outcome
Antibodies, Monoclonal, Humanized
Support Vector Machine
Bias
Esophageal Squamous Cell Carcinoma
Tomography, X-Ray Computed
Female
Biomarkers, Tumor
Male
Middle Aged
Immune Checkpoint Inhibitors
Nomograms
Antineoplastic Combined Chemotherapy Protocols
Humans
Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer.
Journal of translational medicine
Aug 16, 2021
BACKGROUND: Pathological complete response (pCR) is considered a surrogate endpoint for favorable survival in breast cancer patients treated with neoadjuvant chemotherapy (NAC). Predictive biomarkers of treatment response are crucial for guiding trea...
Survival prediction and treatment optimization of multiple myeloma patients using machine-learning models based on clinical and gene expression data.
Leukemia
May 18, 2021
Multiple myeloma (MM) remains mostly an incurable disease with a heterogeneous clinical evolution. Despite the availability of several prognostic scores, substantial room for improvement still exists. Promising results have been obtained by integrati...
Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in Wild-Type Metastatic Colorectal Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Apr 22, 2021
PURPOSE: High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal cancer (mCRC). However, ligand RNA assays have not been adopted into routine practice ...
Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.
PloS one
Jan 28, 2021
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an ag...
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Drug combinations targeting multiple targets/pathways are believed to be able to reduce drug resistance. Computational models are essential for novel drug combination discovery. In this study, we proposed a new simplified deep learning model, for dr...
Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.
Theranostics
Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Circulating Tumor DNA
Paclitaxel
Progression-Free Survival
Female
Deoxycytidine
Treatment Outcome
Carcinoma, Squamous Cell
Male
Gemcitabine
Humans
Cell-Free Nucleic Acids
Aged
Middle Aged
Survival Rate
DNA Copy Number Variations
Machine Learning
Lung Neoplasms
Cisplatin
Prognosis
Antineoplastic Combined Chemotherapy Protocols
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823