Publications 2021-2030
PUBLICATIONS 2025
AI for childhood obesity
| Gómez-Vilarrubla, A., Niubó-Pallàs, M., Mas-Parés, B., Bonmatí-Santané, A., Martínez-Calcerrada, J.-M., López, B., Peñas-Cruz, A., de Zegher, F., Ibáñez, L., López-Bermejo, A., & Bassols, J.: Longitudinal Analysis of Placental IRS1 DNA Methylation and Childhood Obesity. International Journal of Molecular Sciences, 26(7), 3141. |
AI for social good
| Albert Sabater, Roger Campdepadrós, Beatriz López, Cristina Sánchez: Participatory Action Research for AI in Social Services: An Example of Local Practices from Catalonia. In: Ahrweiler, P. (eds) Participatory Artificial Intelligence in Public Social Services. From Bias to Fairness in Assessing Beneficiaries. Artificial Intelligence, Simulation and Society. Springer, Cham. 2025. pp 79–96 |
PUBLICATIONS 2024
AI for mental health
| Jonah Fernandez, Raquel Martínez, Bianca Innocenti, Beatriz López. Contribution of EEG signals for students’ stress detection. IEEE Transactions on Affective Computing. Accepted November 2024. |
| Mireia Porta, Maggie Barcheni, David Ramírez-Saco, Ruth Cunill, Magí Farré, Marc Saez, Beatriz López, Xavier Castells. Metaforest Algorithm Insights: Predictors of Nocebo Response in ADHD. Current Psychopharmacology. Accepted November 2024. |
| I. Darnaude Ximénez, E. Baykova, D. Ramírez Saco, C. Lombardía, D. Serrano, R. Cunill, Ò. Raya, B. López and X. Castells. Can artificial intelligence tailor the treatment of complex patients? The use of TDApp for drug recommendations in ADHD complex patients compared to the Spanish ADHD guideline. XXXII Congreso de la Sociedad Española de Farmacología Clínica (SEFC), Santiago de Compostela, Spain, October 16-18, 2024. Poster. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Poster, pag 54 (#56) |
| Barcheni M., Porta M., Ramírez Saco D., Cunill R., Farré M., Saez M., López B., Castells X. Identifying nocebo response predictors in ADHD: Insights from Metaforest algorithm analysis. XXXII Congreso de la Sociedad Española de Farmacología Clínica (SEFC), Santiago de Compostela, Spain, October 16-18, 2024. Poster. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Poster, pag. 50 (#6) |
| David Ramírez, Evgenia Baykova, Cristina Lombardía, Domènec Serrano, Ruth Cunill, Óscar Raya, Beatriz López, Xavier Castells: Dissecting ChatGPT 4o: Is it really able to justify therapeutic recommendations for attention deficit hyperactivity disorder?. XXXII Congreso de la Sociedad Española de Farmacología Clínica (SEFC), Santiago de Compostela, Spain, October 16-18, 2024. Oral. Published by: Basic & Clinical Pharmacology & Toxicology, Volume 134, Issue S1, Oral Communications, pag. 23 (#101) |
| David Ramírez, Cristina Lombardía, Evgenia Baykova, David Losada, Tania Falkenhain, Jordi Risco, Ruth Cunill, Domènec Serrano, Óscar Raya, Beatriz López, Xavier Castells: APPRAISE-RS/TDApp: an alternative to clinical practice guidelines in formulating pharmacological recommendations in attention deficit hyperactivity disorder?. 37th ENCP (the European College of Neuropsychopharmacology) Congress , Milan, Italy, September 21-24th, 2024. Poster P3411. |
| Oscar Raya, Beatriz López, Evgenia Baykova, Marc Saez, David Rigau, Ruth Cunill, Sacramento Mayoral, Carme Carrion, Domènec Serrano, Xavier Castells: A summary on APPRAISE-RS: Treatment recommender systems based on GRADE. Conference of the Spanish Association of AI (Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA’24), A Coruña, Spain, June 19-21th, 2024. |
| David Ramírez-Saco, Camila Rodríguez, Cristina Lombardía, David Losada Brunet, Inés Andreu, Anaïs Montserrat, Evgenia Baykova, Domènec Serrano, Òscar Raya, Beatriz López, Xavier Castells: Therapeutic recommendations for attention deficit hyperactivity disorders: is there any alternative to clinical practice guidelines? 16th congress of the European Association for Clinical Pharmacology and Therapeutics (EACPT 2024), Rotterdam, NL, June 8-11th, 2024. |
AI for Medicine and Health
| Jonah Fernández, Guillem Hernández-Guillament, Cristina Montserrat, Bianca Innocenti, Beatriz López: Examining the potential of sequence patterns from EEG data as alternative case representation for seizure detection. International Conference on Case-Based Reasoning (ICCBR), Mérida, México, July 1-4th, 2024. Accepted. |
| Beatriz López, David Galera, Abel López-Bermejo, Judit Bassols: Frequent patterns of childhood overweight from longitudinal data on parental and early-life of infants health. 22nd International Conference on AI in Medicine (AIME 24), Sant Lake City, Utah, US, July 7-12th, 2024.Accepted. |
| Bianca Innocenti, Elmo Chavez, Jonah Fernandez, Beatriz López: Importance of EEG frontal channels for classification of Alzheimer’s and Dementia to facilitate screening with BCI devices. I Workshop de la Sociedad Española de Inteligencia Artificial en Biomedicina (IABiomed) held in conjunction with the Conference of the Spanish Association of AI (Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA’24), A Coruña, Spain, June 19-21th, 2024. |
| Cristina Montserrat, Jonah Fernandez, Bianca Innocenti, Beatriz López: Detection of epileptic seizures with EEG sequential patterns. 26th International Conference of the Catalan Association for AI (CCIA’24), Barcelona, Spain, October 2-4th, 2024. Short paper. Accepted. |
AI for social good
| Albert Sabater, Roger Campdepadrós, Beatriz López, Cristina Sánchez: Supporting the Development of AI through Participatory Action Research: A Case Study on Social Services in Catalonia. 16th Conference of the European Sociology Association (ESA),Porto, Portugal, August 27-30, 2024. Accepted. |
Other collaborations
| Manish Prasad, Cristina Barris, Mehdi Aghabagloo, Beatriz López, Ricardo Perera, Marta Baena Muñoz. Machine learning for analysing concrete cover separation in externally bonded FRP RC beams. 7th Int. Conf. On Smart Monitoring, Assessment and Rehabilitationj of civil structures (SMAR), Salerno, Italy, 4-6 September 2024. Publication: Procedia Structural Integrity, 64, 1524–1531. |
PUBLICATIONS 2023
AI for mental health
| David Ramírez, Òscar Raya, Evgenia Baykova, David Rigau, Ruth Cunill, Domènec Serrano, Beatriz López, Xavier Castells: TDApp: Preferencias y evidencias para seleccionar el mejor tratamiento en TDAH. Jornades Científiques del Vall Hebron Institut de Recerca (VHIR), Barcelona, Spain, November 24th, 2023. Poster |
| David Ramírez, Cristina Lombardía, Cristian Toribio, Inés Andreu, Anaïs Montserrat, Evgenia Baykova, Domènec Serrano, Óscar Raya, Beatriz López, Xavier Castells: Could ChatGPT compete with clinical practice guidelines in formulating useful treatment recommendations for attention deficit hyperactivity disorder? 36th European College of Neuropsychopharmacology (ENCP) Congress, Barcelona, Spain, October 7-10th, 2023. |
| David Ramírez, Oscar Raya, Evgenia Baykova, Ines Andreu, Begoña Gonzalvo, David Rigau, Ruth Cunill, Sandra Gelabert, Domènec Serrano, Beatriz López, Xavier Castells: Experiència del pacient en la presa de decisions terapèutiques compartides en el trastorn per de deficit d’atenció i hiperactivitat (TDAH). 8th XPatient Barcelona Congress, Barcelona, September 21st, 2023. |
| Oscar Raya, Xavier Castells, David Ramírez, Beatriz López: Patients and clinicians preferences together in the loop for ADHD treatment recommendations. Modelling decisions for AI (MDAI), Umea, Sweden, June 19-22, 2023. |
| Oscar Raya, Xavier Castells, David Ramírez, Beatriz López: Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal. AI in Medicine (AIME), Portoroz, Slovenia, June 12-15, 2023. |
| Beatriz López, Oscar Raya, Evgenia Baykova, Marc Saez, David Rigau, Ruth Cunill, Sacramento Mayoral, Carme Carrion, Domènec Serrano, Xavier Castells: APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology, Heliyon, Volume 9, Issue 2, February 2023, e13074. |
AI for Medicine and Helthcare
Guillem Hernández-Guillamet, Beatriz López, Oriol Estrada, Francesc López-Seguí. Hipertension visits demand forecasting using cross-correlation and lagged multiple linear regression models. A case study for anticipating health resources needs. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),Món Sant Benet, Catalonia, October 25-27, 2023. Accepted. To be published by IOS Press. 10 pages.
| Alihuén García-Pavioni, Beatriz López: Dimensionality reduction and features visual representation based on conditional probabilities applied to activity classification. Computers in Biology and Medicine, Volume 167, December 2023, 107595. |
| Guillem Hernández-Guillamet, Francesc López-Seguí, Josep Vidal-Alaball, Beatriz López: CauRuler: Causal Irredundant Association Rule Miner for Complex Patient Trajectory Modelling. Computers in Biology and Medicine Accepted February 2023 |
AI for social good
| Beatriz López, Roger Capdepedrós, Albert Sabater. Sequence pattern mining for citizens behaviour learning in fair-purpose social games. Some preliminary results. 25th International Conference of the Catalan Association for Artificial Intelligence (CCIA),Món Sant Benet, Catalonia, October 25-27, 2023. Accepted. To be published by IOS Press. 10 pages. |
Other
| Beatriz López. Robots and intelligent systems are revolutionising medicine. Barcelona Metropolis, num. 127, July 2023. |
PUBLICATIONS 2022
Longitudinal data (time series) machine learning
| Natalia Mordvanyuk, Albert Bifet, Beatriz López: VEPRECO: Vertical Databases with Pre-pruning Strategies and Common Candidate Selection Policies to Fasten Sequential Pattern Mining, Expert Systems with Applications. Accepted May2022 |
| Natalia Mordvanyuk, Beatriz López, Albert Bifet: TA4L: Efficient Temporal Abstraction of Multivariate Time Series, Knowledge-Based Systems. Volume 244, 23 May 2022, 108554 |
| Alihuén Garcia, Beatriz López: A New Method of Dimensionality Reduction for Large Time Series Applied to Accelerometer Wristbands’ Signals, Biosignals 2022. Accepted November 2021 |
AI for Medicine and Helthcare
| Beatriz López, Ferran Torrent-Fontbona, Luis Masana, Alberto Zamora: HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment, Expert Systems. Volume 39, Issue 1, January 2022. Accepted August 2021 |
| Xavier Castells, Marc Saez, Maghie Barcheni, Ruth Cunill, Domènec Serrano, Beatriz López, Caspar van Lissa: Placebo response and its predictors in attention deficit hyperactivity disorder: a meta-analysis and comparison of meta-regression and metaforest, The International Journal of Neuropsychopharmacology, 2022 Jan 12;25(1):26-35. Accepted August 2021 |
| Castells X, Baykova E, Raya O, Serrano D, Mayoral S, Cunill R, Saez M, Carrion C, Rigau D, López B.: Comparison of treatment recommendations formulated by APPRAISE-RS/TDApp, a prototype of automated, personalized, participatory recommender system, and clinical practice guidelines in a sample of simulated ADHD patients, XL Congreso de la sociedad espanyola de farmacologia clínica, 2022. Poster. Published in Basic Clin Pharma Tox – 2022 |
| Villar, J., Yera, A., López B.: Computational-based biomarkers for mental and emotional health, Neural Comput & Applic, 2022. Editorial |
PUBLICATIONS 2021
Longitudinal data (time series) machine learning
| Natalia Mordvanyuk, Beatriz López, Albert Bifet: vertTIRP: Robust and Efficient Vertical Frequent Time Interval-related Pattern Mining, Expert Systems with Applications, Volume 168, 15 April 2021, 114-276. Accepted November 2020 |
AI for Medicine and Helthcare
| Beatriz López, Pau Olives, Luis Masana, Fernando Civeira, Alberto Zamora: Predicting the risk of coronary heart disease under Familial Hypercholesterolemia by machine learning, 44th World Hospital Congress of the International Hospital Federation (IHF), Barcelona, November 8-11, 2021. Accepted. Poster |
| Parizad Avari, Yenny Leal, Pau Herrero, Marzena Wos, Narvada Jugnee, María Arnoriaga-Rodríguez, Maria Thomas, Chengyuan Liu, Quim Massana, Beatriz Lopez, Lucian Nita, Clare Martin, José Manuel Fernández-Real, Nick Oliver, Mercè Fernández-Balsells, Monika Reddy: Safety and feasibility of the PEPPER adaptive bolus advisor and safety system; a randomized control study, Diabetes Technology and Therapeutics, 23(3), 175–186, 2021. Accepted September 2020 |
| Joaquim Massana, Òscar Raya, Jaume Gauchola, Beatriz López: Signaleeg. A practical tool for EEG signal data mining, Neuroinformatics, Neuroinformatics volume 19, pages 567–583 (2021). Accepted December 2020 |
| Joaquim Massana, Òscar Raya, Jaume Gauchola, Beatriz López: Signaleeg. A practical tool for EEG signal data mining, II Workshop of Spanish A.I. Research Groups in Biomedicine (IABiomed), Malaga, September 22-24, 2021. Extended abstract |
| Natàlia Mordvanyuk, Jaume Gauchola, Beatriz López: Understanding affective behaviour from physiological signals: Feature learning versus pattern mining, IEEE Computer-Based Medical Systems (CBMS), Special Track on Computational based Biomarkers for Mental and Emotional Health (IEEE CBMS-CBMEH), June, 7-9, On-line. Best student paper. |
| Daniel Lambisto-Castro, Joan Passarrius, Natàlia Mordvanyuk, Joaquim Massana, Beatriz López: Machine Learning and statistical analysis: correlation between 2%‐2mm gamma test and various metrics of analysis of the complexity of the treatment plan, 7 Congreso Conjunto (23 SEFM – SEPR 18), May 31 – June 4, On-line. Poster (In Spanish). |
AI for social good
| Albert Sabater, Cristina Sánchez, Beatriz López: Co-Creating Artificial Intelligence for Social Provision: An Example of Cross-Sector Collaborations through the AI FORA Project, 15th ESA Conference 2021, 31 Aug – 3 Sep, Barcelona. |
Other
| Beatriz López: Entrevista a Josep Pascual, Revista de tecnologia, 9, 71-73, 2021. |