Abstract: In this talk, we will make a very fast trip through the fundamentals of Deep learning and Computer vision focusing on today's challenges and open questions in these fields. Following, we will review in short our current achievements in the field of Deep learning and Computer Vision. We will ...
Professor at the Universitat de Barcelona (UB) Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the UB.
Abstract: The current state of the art simulations on cardiac and uterine simulations will be presented employing the BSC’s finite elements code: Alya. An overview of the different scales at which we are solving the sub-cellular to full organ physics will be explained, including the aspects of hormonal influence on ...
Biomechanics full organ simulations with a sex-specific dimension
Speaker:
Jazmín Aguado
Biomechanics Group Senior PostDoc, CASE, BSC
Abstract: This talk will present the research process to develop a conversational agent to support and dignify the work of indigenous languages interpreters in Mexico. The project was an exploration to co-design the system and the research methodology with the end users (indigenous interpreters) in a way which aligned with the
When AI is not the solution: from principles to practice
Speaker:
Sofia Trejo
High Performance Artificial Intelligence Recognised Researcher, Computer Sciences, BSC
Abstract: Detailed characterization of molecular and cellular effects of genetic variants is essential for understanding biological processes that underlie genetic associations to disease. A particularly scalable approach has been linking genetic variants to effects in the transcriptome that is amenable for scalable ...
Benchmarking of long-read transcriptomics methods; results and insights from the LRGASP project
Speaker:
Ana Conesa
Research Professor at the Spanish National Research Council (CSIC)
Abstract: Every day we see news about advances and the societal impact of AI. AI is changing the way we work, live and solve challenges but concerns about fairness, transparency or privacy are also growing. Ensuring AI ethics is more than designing systems whose results can be trusted. It is about the way we design them, why ...
Professor at Department of Computing Science at Umeå University
Abstract: The dynamic deposition of chemical modifications into RNA is a crucial regulator of temporal and spatial accurate gene expression programs. A major difficulty in studying these modifications, however, is the need of tailored protocols to map each RNA modification individually. In this context, direct RNA nanopore ...
Decoding the epitranscriptome at single molecule resolution
Speaker:
Eva Maria Novoa
Epitranscriptomics and RNA Dynamics Group leader at Novoa Lab
Abstract: Phylogenies are a fundamental tool that provide insight into microbial dynamics. Yet phylogenies can be very challenging on large biological datasets, especially when attempting to infer species phylogenies from multiple genes. In this talk I will describe some advances in improving phylogenetic tree estimation on ...
New Approaches for Phylogenetic Species Tree Estimation
Speaker:
Tandy Warnow
Grainger Distinguished Chair in Engineering, and Professor and Associate Head of Computer Science at the University of Illinois at Urbana-Champaign
Abstract: “Bioscience has emerged as a data-rich discipline, in a transformation that is spreading as widely now as molecular biology in the twentieth century. We look forward to supporting new research careers, where data are valued and shared widely, where new software is a natural part of Biology, and where re-analysis and ...
Love, Money, Fame, Nudge: Enabling Data-intensive BioScience through Digital Infrastructure Nudging.
Speaker:
Carole Goble
Full Professor of Computer Science at the University of Manchester where she leads the e-Science Group of Researchers, Research Software Engineers and Data Stewards
Abstract: The design of proteins with specific functions has the potential to tackle biomedical, environmental, and industrial challenges in a biodegradable and cost-effective manner. Traditional protein design approaches have relied on finding the global energy minima of a multidimensional landscape defined with ...
Towards controlled protein design with deep unsupervised models
Speaker:
Noelia Ferruz
Beatriu de Pinós Fellow at the Institute of Informatics and Applications at the University of Girona
Abstract: Enzymes exist as an ensemble of conformational states, whose populations can be shifted by substrate binding, allosteric interactions, but also by introducing mutations to their sequence. Tuning the populations of the enzyme conformational states through mutation enables evolution towards novel activity.[1] A common ...
The challenge of rationally predicting distal activity-enhancing mutations in computational enzyme design
Speaker:
Silvia Osuna
ICREA research professor at the Universitat de Girona (UdG)
Abstract: The Life Sciences department of the Barcelona Supercomputing Center created the Bioinfo4Women (B4W) programme in 2018 with the aim to enhance gender awareness, in particular in the areas of Personalised Medicine, Bioinformatics and High Performance Computing. For this, B4W is building an international network of ...
Sex and Gender Bias in Artificial Intelligence for Health.
Speaker:
Davide Cirillo
Head of the Machine Learning for Biomedical Research Unit at the Life Sciences Department of the Barcelona Supercomputing Center (BSC)
Sex and Gender Differences in Brain and Mental Health. Selected use cases on how to tackle them
Speaker:
Simona Mellino
Women's Brain Project Vice President
Abstract: Over the last years, sex and gender differences have been studies across several diseases yet a full elucidation and pratical solutions addressing those are still lacking. The Women’s Brain Project aims is a non-profit organization which has been studying sex and gender differences in brain and mental health for ...
Abstract: Reconstructing the complete phased sequences of every chromosome copy in human and non-human species are important for medical, population and comparative genetics. The unprecedented advancements in sequencing technologies have opened up new avenues to reconstruct these phased sequences that would enable a deeper ...
