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Items: 13

1.

Machine learning in the clinical and language characterisation of primary progressive aphasia variants.

Matias-Guiu JA, Díaz-Álvarez J, Cuetos F, Cabrera-Martín MN, Segovia-Ríos I, Pytel V, Moreno-Ramos T, Carreras JL, Matías-Guiu J, Ayala JL.

Cortex. 2019 May 18;119:312-323. doi: 10.1016/j.cortex.2019.05.007. [Epub ahead of print]

PMID:
31181419
2.

Prediction of patient's response to OnabotulinumtoxinA treatment for migraine.

Parrales Bravo F, Del Barrio García AA, Gallego MM, Gago Veiga AB, Ruiz M, Guerrero Peral A, Ayala JL.

Heliyon. 2019 Feb 28;5(2):e01043. doi: 10.1016/j.heliyon.2018.e01043. eCollection 2019 Feb.

3.

To what extent are patients with migraine able to predict attacks?

Gago-Veiga AB, Pagán J, Henares K, Heredia P, González-García N, De Orbe MI, Ayala JL, Sobrado M, Vivancos J.

J Pain Res. 2018 Sep 27;11:2083-2094. doi: 10.2147/JPR.S175602. eCollection 2018.

4.

A Bio-Inspired Hybrid Thermal Management Approach for 3-D Network-on-Chip Systems.

Dash R, Risco-Martin JL, Turuk AK, Ayala JL, Pangracious V, Majumdar A.

IEEE Trans Nanobioscience. 2017 Dec;16(8):727-743. doi: 10.1109/TNB.2017.2704280. Epub 2017 May 15.

PMID:
28504945
5.

Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases.

Pagán J, Risco-Martín JL, Moya JM, Ayala JL.

J Biomed Inform. 2016 Aug;62:136-47. doi: 10.1016/j.jbi.2016.05.008. Epub 2016 May 31.

6.

Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data.

Pagán J, De Orbe MI, Gago A, Sobrado M, Risco-Martín JL, Mora JV, Moya JM, Ayala JL.

Sensors (Basel). 2015 Jun 30;15(7):15419-42. doi: 10.3390/s150715419.

7.

Proactive and reactive transmission power control for energy-efficient on-body communications.

Vallejo M, Recas J, Ayala JL.

Sensors (Basel). 2015 Mar 11;15(3):5914-34. doi: 10.3390/s150305914.

8.

Accurate human tissue characterization for energy-efficient wireless on-body communications.

Vallejo M, Recas J, del Valle PG, Ayala JL.

Sensors (Basel). 2013 Jun 10;13(6):7546-69. doi: 10.3390/s130607546.

9.

Comparison of Laryngeal Mask Airway Supreme and Laryngeal Mask Airway Proseal with respect to oropharyngeal leak pressure during laparoscopic cholecystectomy: a randomised controlled trial.

Beleña JM, Núñez M, Anta D, Carnero M, Gracia JL, Ayala JL, Alvarez R, Yuste J.

Eur J Anaesthesiol. 2013 Mar;30(3):119-23. doi: 10.1097/EJA.0b013e32835aba6a.

PMID:
23318811
10.

Power impact of loop buffer schemes for biomedical wireless sensor nodes.

Artes A, Ayala JL, Catthoor F.

Sensors (Basel). 2012 Nov 6;12(11):15088-118. doi: 10.3390/s121115088.

11.

Ubiquitous green computing techniques for high demand applications in Smart environments.

Zapater M, Sanchez C, Ayala JL, Moya JM, Risco-Martín JL.

Sensors (Basel). 2012;12(8):10659-77. doi: 10.3390/s120810659. Epub 2012 Aug 3.

12.

Detergent-labile, supramolecular assemblies of KcsA: relative abundance and interactions involved.

Giudici AM, Molina ML, Ayala JL, Montoya E, Renart ML, Fernández AM, Encinar JA, Ferrer-Montiel AV, Poveda JA, González-Ros JM.

Biochim Biophys Acta. 2013 Feb;1828(2):193-200. doi: 10.1016/j.bbamem.2012.09.020. Epub 2012 Sep 27.

13.

The Laryngeal Mask Airway Supreme for positive pressure ventilation during laparoscopic cholecystectomy.

Beleña JM, Gracia JL, Ayala JL, Núñez M, Lorenzo JA, de los Reyes A, Pérez JL, Yuste J.

J Clin Anesth. 2011 Sep;23(6):456-60. doi: 10.1016/j.jclinane.2011.01.004.

PMID:
21911191

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