AIMC Topic: Antineoplastic Agents
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Deep Learning Approach for Assessment of Bladder Cancer Treatment Response.
Tomography (Ann Arbor, Mich.)
Mar 1, 2019
We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models for bladder cancer treatment response assessment based on transfer learning by freezing different DL-CNN layers and varying the DL-CNN structure. Pre-...
ROC Curve
Decision Support Systems, Clinical
Treatment Outcome
Sensitivity and Specificity
Antineoplastic Agents
Deep Learning
Radiographic Image Interpretation, Computer-Assisted
Cystectomy
Urography
Transfer, Psychology
Neoadjuvant Therapy
Urinary Bladder Neoplasms
Drug Monitoring
Humans
Tomography, X-Ray Computed
canSAR: update to the cancer translational research and drug discovery knowledgebase.
Nucleic acids research
Jan 8, 2019
canSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. canSAR informs researchers to help solve key bottlenecks in cancer translation and drug discovery. It integrates genom...
Identification of Anti-cancer Peptides Based on Multi-classifier System.
Combinatorial chemistry & high throughput screening
Jan 1, 2019
AIMS AND OBJECTIVE: Cancer is one of the deadliest diseases, taking the lives of millions every year. Traditional methods of treating cancer are expensive and toxic to normal cells. Fortunately, anti-cancer peptides (ACPs) can eliminate this side eff...
PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
Cancer is a complex collection of diseases that are to some degree unique to each patient. Precision oncology aims to identify the best drug treatment regime using molecular data on tumor samples. While omics-level data is becoming more widely availa...
Autophagy and Apoptosis Specific Knowledgebases-guided Systems Pharmacology Drug Research.
Current cancer drug targets
Jan 1, 2019
BACKGROUND: Autophagy and apoptosis are the basic physiological processes in cells that clean up aged and mutant cellular components or even the entire cells. Both autophagy and apoptosis are disrupted in most major diseases such as cancer and neurol...
Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery.
Current topics in medicinal chemistry
Jan 1, 2019
Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the pe...
Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique.
Anti-cancer agents in medicinal chemistry
Jan 1, 2019
Possibility and necessity of standardization of predictive models for anti-cancer activity are discussed. The hypothesis about rationality of common quantitative analysis of anti-cancer activity and carcinogenicity is developed. Potential of optimal ...
[A Case of Multiple Lung Metastases after Liver Resection for Multiple Hepatocellular Carcinomas with Remarkable Effects of Regorafenib].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2018
The patient was a 63-year-old man with hepatitis C. He discontinued combination therapy containing interferon and ribavirin because of the development of skin symptoms. A screening examination showed multiple early-stage hepatocellular carcinomas. He...
[Nephrotoxicity of a Short Hydration Method for the Cisplatin Regimen in Patients with Gastric Cancer].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2018
BACKGROUND: S-1 plus cisplatin(CDDP)has been a key regimen for advanced gastric cancer treatment. However, CDDP confers dose-limiting nephrotoxicity, requires a hospital stay for conventional massive hydration, and reduces patients' quality of life. ...
PANOPLY: Omics-Guided Drug Prioritization Method Tailored to an Individual Patient.
JCO clinical cancer informatics
Dec 1, 2018
PURPOSE: The majority of patients with cancer receive treatments that are minimally informed by omics data. We propose a precision medicine computational framework, PANOPLY (Precision Cancer Genomic Report: Single Sample Inventory), to identify and p...
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