Filters








8,092 Hits in 5.1 sec

Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival

Yunlang She, Zhuochen Jin, Junqi Wu, Jiajun Deng, Lei Zhang, Hang Su, Gening Jiang, Haipeng Liu, Dong Xie, Nan Cao, Yijiu Ren, Chang Chen
2020 JAMA Network Open  
A user-friendly interface was provided to facilitate the survival predictions and treatment recommendations of the deep learning survival neural network model.  ...  The deep learning survival neural network model was compared with the tumor, node, and metastasis staging system for lung cancer-specific survival.  ...  Model Visualization We also developed a user-friendly interface to facilitate the survival predictions and treatment recommendations of the DeepSurv model.  ... 
doi:10.1001/jamanetworkopen.2020.5842 pmid:32492161 pmcid:PMC7272121 fatcat:vrqkqc6rbfbztf6eq2bxywjvre

Porting a cancer treatment prediction to a mobile device

T. Gegg-Harrison, Mingrui Zhang, Nan Meng, Zhifii Sun, Ping Yang
2009 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
The Lung Cancer Survivability Prediction Tool (LCSPT) is a web-based system that predicts the survival possibility of a lung cancer patient based on the status of the patient and the treatments provided  ...  In order to make the LCSPT more accessible and convenient to doctors working in a clinical setting, we have developed a new interface for mobile devices.  ...  Lung Cancer Prediction Model We developed two models for predicting lung cancer patient survival.  ... 
doi:10.1109/iembs.2009.5334551 pmid:19965083 pmcid:PMC2797080 fatcat:tn3zzx2qlnem7jp4zvd3fkxqny

Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm

K. Marias, D. Dionysiou, V. Sakkalis, N. Graf, R. M. Bohle, P. V. Coveney, S. Wan, A. Folarin, P. Buchler, M. Reyes, G. Clapworthy, E. Liu (+20 others)
2011 Interface Focus  
The aim of the present paper is to describe a novel paradigm for designing clinically driven multi-scale cancer modelling by bringing together basic science and information technology modules.  ...  Since clinical adaptation is an inelastic prerequisite, a long-term clinical adaptation procedure of the models has been initiated for two tumour types, namely non-small cell lung cancer and glioblastoma  ...  predicted outcome.  ... 
doi:10.1098/rsfs.2010.0037 pmid:22670213 pmcid:PMC3262443 fatcat:tvjrwsgjorgxvl3blcbg6dezxe

TACCO, a Database Connecting Transcriptome Alterations, Pathway Alterations and Clinical Outcomes in Cancers

Po-Hao Chou, Wei-Chao Liao, Kuo-Wang Tsai, Ku-Chung Chen, Jau-Song Yu, Ting-Wen Chen
2019 Scientific Reports  
TACCO also reveals miRNA cooperative regulations and supports construction of models for prognosis.  ...  To address this, we developed TACCO (Transcriptome Alterations in CanCer Omnibus), a database for identifying differentially expressed genes and altered pathways in cancer.  ...  Identification of a model or a signature that can predict overall or disease-free survival for various cancer types would be helpful, potentially guiding treatment decisions in the clinic.  ... 
doi:10.1038/s41598-019-40629-z pmid:30846808 pmcid:PMC6405743 fatcat:bi5cykxrejbhxiupm4foos3sty

Analysis of outcomes in radiation oncology: An integrated computational platform

Dezhi Liu, Munther Ajlouni, Jian-Yue Jin, Samuel Ryu, Farzan Siddiqui, Anushka Patel, Benjamin Movsas, Indrin J. Chetty
2009 Medical Physics (Lancaster)  
In addition the database is web-based and accessible by multiple users, facilitating its convenient application and use.  ...  plans, and ͑4͒ a software package that calculates radiobiological models to evaluate IMRT treatment plans.  ...  the design of graphical user interfaces.  ... 
doi:10.1118/1.3114022 pmid:19544785 pmcid:PMC2754940 fatcat:4ru74qutbngbrf7zkpwebz46de

CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES

Premalatha D, Niveditha N, Poornima Vasanth V, Priyanka G N, Niveditha K B
2019 International Journal of Current Engineering and Scientific Research  
cancers and is also user friendly, time and cost saving.  ...  Therefore, a novel multi layered method combining clustering and decision tree techniques to build a cancer risk prediction system is proposed here which predicts lung, breast, oral, stomach and blood  ...  Moreover, they have developed new strategies for the early prediction of cancer treatment outcome.  ... 
doi:10.21276/ijcesr.2019.6.6.28 fatcat:k3j32sk56bgnxn3w4ycjigo4qu

Focused Decision Support: a Data Mining Tool to Query the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Dataset and Guide Screening Management for the Individual Patient

Arjun Sharma, Jason Hostetter, James Morrison, Kenneth Wang, Eliot Siegel
2015 Journal of digital imaging  
The US Preventative Services Task Force provides screening recommendations for cancers of the breast, colorectal tract, and lungs.  ...  Our dynamic decision support system utilizes a subset of the PLCO dataset as a reference model to determine imaging and testing appropriateness while offering prognostic information for various cancers  ...  It could similarly be utilized as part of a Bayesian predictive model to improve lung CAD performance. A number of factors were considered in the design of the application.  ... 
doi:10.1007/s10278-015-9826-0 pmid:26385814 pmcid:PMC4788622 fatcat:c72ajkuj3rgw3bpvi5tv7rcuvu

An IT Architecture for Systems Medicine

Matthias Ganzinger, Matthias Gietzelt, Christian Karmen, Daniel Firnkorn, Petra Knaup
2015 Studies in Health Technology and Informatics  
Thus, we develop a specific user interface for systems medicine based on the web portal software Liferay.  ...  Systems medicine aims to support treatment of complex diseases like cancer by integrating all available data for the disease.  ...  The user interface interacts with the CBR engine and the CRM to acquire treatment alternatives and likelihoods in case the desired outcome can be achieved with different lines of treatment.  ... 
pmid:25991127 fatcat:b53jtidt5jfmplpk4rfmgoi4sm

A Pilot Study of Using Smartphone Application vs. Routine Follow-Up for Patient Care in Advanced Non-Small Cell Lung Cancer During the COVID-19 Pandemic Era

Naiyarat Prasongsook, Kasan Seetalarom, Siriwimon Saichaemchan, Kittipong Udomdamrongkul
2022 Frontiers in Medical Technology  
Lung Cancer Care application was a mobile application program to monitor adverse events and report outcomes.  ...  This study is aimed to invent a new mobile application evaluating patient-reported outcome (PRO) for patients with non-small cell lung cancer (NSCLC) and to evaluate the validity of a mobile application  ...  ACKNOWLEDGMENTS The authors are grateful to the Office of Research Development, Division of Medical Oncology, Department of Medicine, and PMK Cancer Center, Phramongkutkao Hospital for supporting this  ... 
doi:10.3389/fmedt.2022.900172 pmid:35800468 pmcid:PMC9253575 fatcat:fymmj3szizabteuixu44h2vx3e

Ontologies and Knowledge Graphs in Oncology Research

Marta Contreiras Silva, Patrícia Eugénio, Daniel Faria, Catia Pesquita
2022 Cancers  
A holistic view of cancer—which is critical for precision medicine approaches—hinges on integrating a variety of heterogeneous data sources under a cohesive knowledge model, a role which biomedical ontologies  ...  The complexity of cancer research stems from leaning on several biomedical disciplines for relevant sources of data, many of which are complex in their own right.  ...  building block of the P4 medicine vision (preventative, predictive, personalized and participatory).  ... 
doi:10.3390/cancers14081906 pmid:35454813 pmcid:PMC9029532 fatcat:t6erzohmvnextkix4infnk7kza

MADET: A Manually Curated Knowledgebase for Microbiomic Effects on Efficacy and Toxicity of Anticancer Treatments [article]

Jie Zhang, Xiqian Chen, Jiaxin Zou, Chen Li, Wanying Kang, Yang Guo, Sheng Liu, Wenjing Zhao, Xiangyu Mou, Jiayuan Huang, Jia Ke
2022 bioRxiv   pre-print
(e.g., lung cancer) with different types of experimental evidence of microbiota-drug association and causation.  ...  Users can customize their search filters in MADET using different types of keywords, including bacterial name (e.g., Akkermansia muciniphila), anticancer treatment (e.g., anti-PD-1 therapy) or cancer type  ...  In a nutshell, microbiota could be employed as a potential biomarker for predicting treatment outcomes and an interventional target for improving the effectiveness of cancer therapies.  ... 
doi:10.1101/2022.05.23.493174 fatcat:vb76bukp7naltcpnncu3dgfcoe

A TCP-NTCP estimation module using DVHs and known radiobiological models and parameter sets

Brad Warkentin, Pavel Stavrev, Nadia Stavreva, Colin Field, B. Gino Fallone
2004 Journal of Applied Clinical Medical Physics  
for a cohort of patient DVHs to the predicted number of outcomes based on different models/parameter sets; and testing of the sensitivity of model predictions to uncertainties in the parameter values.  ...  Potential applications of the system include the following: comparing radiobiological predictions of outcome for different treatment plans or types of treatment; comparing the number of observed outcomes  ...  ACKNOWLEDGMENTS This research was supported by studentships from the Alberta Heritage Foundation for Medical Research and the Alberta Cancer Board (BW), and the Alberta Cancer Board RIP grant RI-218.  ... 
doi:10.1120/jacmp.v5i1.1970 pmid:15753933 pmcid:PMC5723441 fatcat:igl545tasbd53o2czn4dkft7tq

Automated data abstraction for quality surveillance and outcome assessment in radiation oncology

Rishabh Kapoor, William C Sleeman, Joseph J Nalluri, Paul Turner, Priyankar Bose, Andrii Cherevko, Sriram Srinivasan, Khajamoinuddin Syed, Preetam Ghosh, Michael Hagan, Jatinder R Palta
2021 Journal of Applied Clinical Medical Physics  
collates data for cancer patients receiving radiotherapy.  ...  Radiotherapy data abstracted from these disparate sources and the smart templates are processed for quality and outcome assessment.  ...  The complete radiotherapy data are sent to the HINGE central server, where it is evaluated for data integrity, curated, and prepared for visualization by end users in a web-based graphical user interface  ... 
doi:10.1002/acm2.13308 pmid:34101349 fatcat:vo6blypq3zb4dcz2pr563kevae

Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features

Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, Roberto Gatta, Rosa Autorino, Luca Boldrini, Andrea Damiani, Vincenzo Valentini
2015 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
The DSSs application as predictive tools is particularly suitable for cancer treatment, given the peculiarities of the disease -which is highly localised and lead to significant social costs-and the large  ...  In this paper we fill this gap by proposing Moddicom, a user-friendly complete library specifically designed to be exploited by physicians.  ...  System (TPSs) via DICOM protocol and preset to the user a web based Graphical User Interface (GUI).  ... 
doi:10.1109/embc.2015.7318476 pmid:26736376 dblp:conf/embc/DinapoliAVGABDV15 fatcat:vml3oiaxkncfdhbgvj3i5ao6dq

A TCP-NTCP estimation module using DVHs and known radiobiological models and parameter sets

Brad Warkentin
2004 Journal of Applied Clinical Medical Physics  
for a cohort of patient DVHs to the predicted number of outcomes based on different models/parameter sets; and testing of the sensitivity of model predictions to uncertainties in the parameter values.  ...  Potential applications of the system include the following: comparing radiobiological predictions of outcome for different treatment plans or types of treatment; comparing the number of observed outcomes  ...  ACKNOWLEDGMENTS This research was supported by studentships from the Alberta Heritage Foundation for Medical Research and the Alberta Cancer Board (BW), and the Alberta Cancer Board RIP grant RI-218.  ... 
doi:10.1120/5.1.06 fatcat:xlqav6nycvhctjwbwhirotrsk4
« Previous Showing results 1 — 15 out of 8,092 results