Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Inés P. Mariño"'
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal of diagnostic but, even more importantly, it prov
Externí odkaz:
https://doaj.org/article/877413d8a5394b858a43f4a9e40c24e8
Publikováno v:
Complexity, Vol 2019 (2019)
In this paper we investigate Monte Carlo methods for the approximation of the posterior probability distributions in stochastic kinetic models (SKMs). SKMs are multivariate Markov jump processes that model the interactions among species in biological
Externí odkaz:
https://doaj.org/article/dacb1fae80a947f7b448fd6442645f34
Autor:
Lucas Lacasa, Inés P. Mariño, Joaquin Miguez, Vincenzo Nicosia, Édgar Roldán, Ana Lisica, Stephan W. Grill, Jesús Gómez-Gardeñes
Publikováno v:
Physical Review X, Vol 8, Iss 3, p 031038 (2018)
Elements composing complex systems usually interact in several different ways, and as such, the interaction architecture is well modeled by a network with multiple layers—a multiplex network—where the system’s complex dynamics is often the resu
Externí odkaz:
https://doaj.org/article/2a43afbf4f5043d597d1b4b856a979b4
Autor:
Usha Menon, Alexey Zaikin, Ian Jacobs, Steven J. Skates, Mahesh Parmar, John F. Timms, Ranjit Manchanda, Jatinderpal Kalsi, Inés P. Mariño, Aleksandra Gentry-Maharaj, Andy Ryan, Matthew Burnell, Oleg Blyuss
Purpose: In the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), women in the multimodal (MMS) arm had a serum CA125 test (first-line), with those at increased risk, having repeat CA125/ultrasound (second-line test). CA125 wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d928eba856b28985914abe3a2f4ca9
https://doi.org/10.1158/1078-0432.c.6527328
https://doi.org/10.1158/1078-0432.c.6527328
Autor:
Usha Menon, Alexey Zaikin, Ian Jacobs, Steven J. Skates, Mahesh Parmar, John F. Timms, Ranjit Manchanda, Jatinderpal Kalsi, Inés P. Mariño, Aleksandra Gentry-Maharaj, Andy Ryan, Matthew Burnell, Oleg Blyuss
MMT / PEB values in training and validation of the algorithms based on the primary analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a93e8c4ef9b476accea74db493e844
https://doi.org/10.1158/1078-0432.22469742.v1
https://doi.org/10.1158/1078-0432.22469742.v1
Autor:
Usha Menon, Manuel A. Vázquez, Aleksandra Gentry-Maharaj, Inés P. Mariño, Ranjit Manchanda, Jatinderpal Kalsi, Oleg Blyuss, Alexey Zaikin, Ian Jacobs, Andy Ryan
Publikováno v:
Emerging Topics in Artificial Intelligence (ETAI) 2021.
Artificial Intelligence methods can be very effective in classification tasks that involve the processing of ordered sequences of data. Here we explore two different approaches to tackle the problem of ovarian cancer detection from a sequence of long
Autor:
Andy Ryan, Usha Menon, Aleksandra Gentry-Maharaj, Ranjit Manchanda, Jatinderpal Kalsi, Oleg Blyuss, Ian Jacobs, Inés P. Mariño, Manuel A. Vázquez, Alexey Zaikin
Publikováno v:
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Vázquez, M A, Mariño, I P, Blyuss, O, Ryan, A, Gentry-maharaj, A, Kalsi, J, Manchanda, R, Jacobs, I, Menon, U & Zaikin, A 2018, ' A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer ', Biomedical Signal Processing and Control, vol. 46, pp. 86-93 . https://doi.org/10.1016/j.bspc.2018.07.001
Consejería de Sanidad de la Comunidad de Madrid
Vázquez, M A, Mariño, I P, Blyuss, O, Ryan, A, Gentry-maharaj, A, Kalsi, J, Manchanda, R, Jacobs, I, Menon, U & Zaikin, A 2018, ' A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer ', Biomedical Signal Processing and Control, vol. 46, pp. 86-93 . https://doi.org/10.1016/j.bspc.2018.07.001
We present a quantitative study of the performance of two automatic methods for the early detection of ovarian cancer that can exploit longitudinal measurements of multiple biomarkers. The study is carried out for a subset of the data collected in th
Publikováno v:
CAMSAP
We investigate a class of dynamical models with a multilayer structure for the representation of discrete-time sequences. Each layer is a first-order, discrete-time Markov process, either on a discrete state space (i.e., a Markov chain) or on a gener
Autor:
Luis Abrego, Alexey Zaikin, Ines P. Marino, Mikhail I. Krivonosov, Ian Jacobs, Usha Menon, Aleksandra Gentry‐Maharaj, Oleg Blyuss
Publikováno v:
Cancer Medicine, Vol 13, Iss 7, Pp n/a-n/a (2024)
Abstract Background Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recen
Externí odkaz:
https://doaj.org/article/6c163266eef744bc80d28a96ac3a01ee
Autor:
Steven J. Skates, Ian Jacobs, Mahesh K. B. Parmar, Inés P. Mariño, Aleksandra Gentry-Maharaj, Jatinderpal Kalsi, Usha Menon, Matthew Burnell, Ranjit Manchanda, Andy Ryan, Oleg Blyuss, John F. Timms, Alexey Zaikin
Publikováno v:
Clinical cancer research : an official journal of the American Association for Cancer Research. 24(19)
Purpose: In the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), women in the multimodal (MMS) arm had a serum CA125 test (first-line), with those at increased risk, having repeat CA125/ultrasound (second-line test). CA125 wa