Mikhail Lopatin, Maria Vulf, Maria Bograya, Anastasia Tynterova and Larisa Litvinova The pathogenetic significance of miR-143 in atherosclerosis development
REF: 491.
Omayma Mazouji, Hicham Mansour and Abdelhak Ouhajjou Significance of using of Liquid Biopsy for Guiding Therapy Decision in Cancer
REF: 770.
Iñaki Hulsman, Luis Javier Herrera, Francisco Ortuño and Ignacio Rojas Novel gene signature for Bladder Cancer Stage identifcation
REF: 1027.
Valerii Erkudov, Sergey Lytaev, Kenjabek Rozumbetov, Andrey Pugovkin, Azat Matchanov and Sergey Rogozin Validation of Height-for-Age and BMI-for-Age Z-scores Assessment using Android-based Mobile Apps
REF: 1742.
Thuanne Paixão, Ana Beatriz Alvarez, Ruben Florez and Facundo Palomino-Quispe Motion control of a robotic lumbar spine model
REF: 1997.
Siyu He, Jiayin Wang, Zhongmeng Zhao and Xuanping Zhang An efficient algorithm for detecting mutually exclusive patterns across multiple sets of genomic mutations
REF: 2555.
Nadia N. Sánchez-Pozo, Samuel Lascano-Rivera, Francisco J. Montalvo-Marquez and Dalia Y. Ortiz-Reinoso Deep Learning for automatic electroencephalographic signals classification
REF: 3046.
Jana Schwarzerová, Dominika Olešová, Aleš Kvasnička, David Friedecký, Margaret Varga, Valentine Provazník and Wolfram Weckwerth Systematic comparison of advanced network analysis and visualization of lipidomics data
REF: 3767.
Irene López-Bosque, Carlos Marañes-Nueno, Ana Caren Hernández-Ruiz, Rocío Aznar-Gimeno, Pilar Salvo-Ibañez, María de La Vega Rodrigálvarez-Chamarro, David Abadía-Gallego and Rafael del-Hoyo-Alonso BodyFlow: A library for human pose estimation and activity recognition
REF: 3869.
Mubashir Hassan, Saba Shahzadi and Andrzej Kloczkowski Pharmacoinformatics Analysis of Drug Leads for Alzheimer’s Disease from FDA-Approved Dataset through Drug Repositioning Studies
REF: 4285.
Diogo Mendes and Rui Camacho A Platform for the Study of Drug Interactions and Adverse Effects Prediction
REF: 5387.
Arantxa Ortega Leon, Roa'A Khaled, María Inmaculada Rodríguez García, Daniel Urda and Ignacio Turias A Machine Learning approach to predict brain abnormalities in preterm infants using clinical data
REF: 5481.
Lucía Almorox, Luis Javier Herrera, Francisco Ortuño and Ignacio Rojas Uterine Cervix and Corpus Cancers Characterization through Gene Expression Analysis Using the KnowSeq Tool
REF: 5863.
Fairuz Shadmani Shishir, Bishnu Sarker, Farzana Rahman and Sumaiya Shomaji MetaLLM: Residue-wise Metal ion Prediction Using Deep Transformer Model
REF: 6035.
Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto-Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini and Marco Mesiti A Meta-Graph for the Construction of an RNA-centered Knowledge Graph
REF: 7008.
Shaira Kee, Michael Aaron Sy, Samuel Border, Nicholas Lucarelli, Akshita Gupta, Pinaki Sarder, Marvin Masalunga and Myles Joshua Tan Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data
REF: 7286.
Saba Shahzadi, Mubashir Hassan and Andrzej Kloczkowski Structural Analysis of RNA-Binding Protein EWSR1 Involved in Ewing’s Sarcoma through Domain Assembly and Conformational Molecular Dynamics Studies
REF: 8336.
Irine Khomeriki, Lily Petriashvili, Maia Topeshashvili and Tamar Lominadze Analyzing dose parameters of Radiation Therapy Treatment Planning and Estimation of Second Cancer Risks
REF: 8632.
José María López Belinchón, Miguel Á. López and Raúl Alcaraz Assessing Temporal Stability of Heart Rate Variability Features for Predicting Adverse Cardiovascular Events in Hypertensive Patients
REF: 9515.
Shrikant Pawar, Aditya Stanam, Anand Narayanan and Rushikesh Chopade Cyclical learning rates (CLR’s) for improving training accuracies and lowering computational cost
REF: 9523.
PDF Presentations IWBBIO 2023
Mikhail Lopatin, Maria Vulf, Maria Bograya, Anastasia Tynterova and Larisa Litvinova The pathogenetic significance of miR-143 in atherosclerosis development
REF: 491.
Jesús María González-Martín, Francisco Rodríguez-Esparragón, Bernardino Clavo, Laura Beatriz Torres-Mata, Sara Estefania Cazorla-Rivero and Estrella Gómez-Bentolila Insulin sensitivity and Insulin Resistance and Diabetes prediction by applying artificial intelligence techniques on genes obtained from expression analysis differential
REF: 1590.
Valerii Erkudov, Sergey Lytaev, Kenjabek Rozumbetov, Andrey Pugovkin, Azat Matchanov and Sergey Rogozin Validation of Height-for-Age and BMI-for-Age Z-scores Assessment using Android-based Mobile Apps
REF: 1742.
Thuanne Paixão, Ana Beatriz Alvarez, Ruben Florez and Facundo Palomino-Quispe Motion control of a robotic lumbar spine model
REF: 1997.
Andrzej Swierniak, Katarzyna Hajdowska and Damian Borys Evolutionary games in modeling cancer metastases
REF: 2735.
Nadia N. Sánchez-Pozo, Samuel Lascano-Rivera, Francisco J. Montalvo-Marquez and Dalia Y. Ortiz-Reinoso Deep Learning for automatic electroencephalographic signals classification
REF: 3046.
Francisco J. Moreno-Barea, Héctor Mesa, Nuria Ribelles, Emilio Alba and Jose M. Jerez Clinical text classification in Cancer Real-World Data in Spanish
REF: 3696.
Jana Schwarzerová, Dominika Olešová, Aleš Kvasnička, David Friedecký, Margaret Varga, Valentine Provazník and Wolfram Weckwerth Systematic comparison of advanced network analysis and visualization of lipidomics data
REF: 3767.
Mubashir Hassan, Saba Shahzadi and Andrzej Kloczkowski Pharmacoinformatics Analysis of Drug Leads for Alzheimer’s Disease from FDA-Approved Dataset through Drug Repositioning Studies
REF: 4285.
Kubra Sarac and Albert Guvenis Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods
REF: 4314.
Diogo Mendes and Rui Camacho A Platform for the Study of Drug Interactions and Adverse Effects Prediction
REF: 5387.
Imane Samiry, Ilhame Ait Lbachir, Imane Daoudi, Saida Tallal and Sayouti Adil Digital Breast Tomosynthesis reconstruction techniques in healthcare systems: A review
REF: 5473.
Arantxa Ortega Leon, Roa'A Khaled, María Inmaculada Rodríguez García, Daniel Urda and Ignacio Turias A Machine Learning approach to predict brain abnormalities in preterm infants using clinical data
REF: 5481.
Lucía Almorox, Luis Javier Herrera, Francisco Ortuño and Ignacio Rojas Uterine Cervix and Corpus Cancers Characterization through Gene Expression Analysis Using the KnowSeq Tool
REF: 5863.
Fairuz Shadmani Shishir, Bishnu Sarker, Farzana Rahman and Sumaiya Shomaji MetaLLM: Residue-wise Metal ion Prediction Using Deep Transformer Model
REF: 6035.
Jose Diogo Marques dos Santos, David Machado and Manuel Fortunato Transparent Machine Learning Algrithms for Explainable AI on Motor fMRI Data
REF: 6449.
Aman Sawhney, Jiefu Li and Li Liao Inter-helical residue contact prediction in α-helical Transmembrane proteins using structural features
REF: 6505.
Gabrielle Dagasso, Matthias Wilms and Nils Forkert Investigation of inclusion for localised characteristics from medical imaging datasets genotype-phenotype associations
REF: 6568.
Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto-Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini and Marco Mesiti A Meta-Graph for the Construction of an RNA-centered Knowledge Graph
REF: 7008.
Zainab Maalej, Fahmi Ben Rejab and Kaouther Nouira Deep Learning for Parkinson’s Disease Severity Stage Prediction using a New Dataset
REF: 7587.
Alokeparna Choudhury, Sourav Samanta, Sanjoy Pratihar and Oishila Bandyopadhyay Color Hippocampus Image Segmentation using Quantum Inspired Firefly Algorithm and Merging of Channel-wise Optimums
REF: 8290.
Saba Shahzadi, Mubashir Hassan and Andrzej Kloczkowski Structural Analysis of RNA-Binding Protein EWSR1 Involved in Ewing’s Sarcoma through Domain Assembly and Conformational Molecular Dynamics Studies
REF: 8336.
Irine Khomeriki, Lily Petriashvili, Maia Topeshashvili and Tamar Lominadze Analyzing dose parameters of Radiation Therapy Treatment Planning and Estimation of Second Cancer Risks
REF: 8632.
José María López Belinchón, Miguel Á. López and Raúl Alcaraz Assessing Temporal Stability of Heart Rate Variability Features for Predicting Adverse Cardiovascular Events in Hypertensive Patients
REF: 9515.
Shrikant Pawar, Aditya Stanam, Anand Narayanan and Rushikesh Chopade Cyclical learning rates (CLR’s) for improving training accuracies and lowering computational cost
REF: 9523.
