AIMC Topic: Drug Resistance, Neoplasm
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The emerging roles of artificial intelligence in cancer drug development and precision therapy.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
May 20, 2020
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...
Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells.
International journal of molecular sciences
Apr 30, 2020
It is known that single or isolated tumor cells enter cancer patients' circulatory systems. These circulating tumor cells (CTCs) are thought to be an effective tool for diagnosing cancer malignancy. However, handling CTC samples and evaluating CTC se...
RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance.
Scientific reports
Feb 5, 2020
Cancer is one of the most difficult diseases to treat owing to the drug resistance of tumour cells. Recent studies have revealed that drug responses are closely associated with genomic alterations in cancer cells. Numerous state-of-the-art machine le...
Novel approaches for glioblastoma treatment: Focus on tumor heterogeneity, treatment resistance, and computational tools.
Cancer reports (Hoboken, N.J.)
Nov 11, 2019
BACKGROUND: Glioblastoma (GBM) is a highly aggressive primary brain tumor. Currently, the suggested line of action is the surgical resection followed by radiotherapy and treatment with the adjuvant temozolomide, a DNA alkylating agent. However, the a...
Drug Resistance, Neoplasm
Computational Biology
Prognosis
Microtubules
Humans
Cancer Vaccines
Tumor Suppressor Protein p53
Tumor Microenvironment
Machine Learning
Models, Genetic
Tumor Suppressor Proteins
Brain Neoplasms
Brain
Antineoplastic Combined Chemotherapy Protocols
Immune Checkpoint Inhibitors
Clonal Evolution
Glioblastoma
Precision Medicine
DNA Modification Methylases
Mutation
DNA Mutational Analysis
Genetic Heterogeneity
DNA Repair Enzymes
Chemoradiotherapy, Adjuvant
The Use of Transdermal Estrogen in Castrate-resistant, Steroid-refractory Prostate Cancer.
Clinical genitourinary cancer
Oct 10, 2019
BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer. Corticosteroids and estrogens are also useful agents in castration-resistant prostate cancer (CRPC). However, oral estrogens are associated with thr...
Network as a Biomarker: A Novel Network-Based Sparse Bayesian Machine for Pathway-Driven Drug Response Prediction.
Genes
Aug 9, 2019
With the advances in different biological networks including gene regulation, gene co-expression, protein-protein interaction networks, and advanced approaches for network reconstruction, analysis, and interpretation, it is possible to discover relia...
Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.
Cancer gene therapy
May 29, 2019
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature white blood cells from the bone marrow. Therapy resistance resulting from the persistence of leukemia stem cells (LSCs) are found in numerous patient...
Prediction of Acquired Taxane Resistance Using a Personalized Pathway-Based Machine Learning Method.
Cancer research and treatment
Aug 10, 2018
PURPOSE: This study was conducted to develop and validate an individualized prediction model for automated detection of acquired taxane resistance (ATR).
Drug response prediction by ensemble learning and drug-induced gene expression signatures.
Genomics
Jul 6, 2018
Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental information one requires to design anti-cancer drugs. Recently, considerable amount of drug-induced gene expression data has become publicly available, in ad...
Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.
Journal of cancer research and clinical oncology
May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
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