Abstract: GBM is characterized by intratumoral heterogeneity. Tumor heterogeneity, clonal diversity and mutation acquisition hamper the ability to tailor personalized therapy for GBM. Tumor sampling has limited ability to accurately capture the molecular landscape of the tumor and to disclose acquired molecular aberrations. ...
A novel liquid biopsy platform utilizes gene-gene fusions for high-grade glioma patients
Speaker:
Milana Frenkel-Morgenstern
Head of the “Cancer Genomics and BioComputing in Complex Diseases” group in the Azrieli faculty of Medicine, Bar-Ilan University
Abstract: Cardiovascular death is the main cause of mortality in developed countries. Current diagnosis and predictive tools are still insufficient due to low cost-accuracy ratios. The electrocardiogram (ECG) is a widely available and cheap tool that reflects the electrical activity of the heart. In this talk, I will give an ...
Unravelling the Electrocardiogram for Cardiovascular Risk Prediction
Speaker:
Julia Ramírez
Marie Curie Research Fellow Lecturer in Cardiovascular Data Science Queen Mary University of London (QMUL)
Abstract: Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are ...
is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona).
Abstract: Public hospitals in Chile have waiting lists for specialty consultations that are both numerous and with long waiting times. The reason for referral is in the form of unstructured text and therefore it is hard for authorities to know what diseases are being consulted. As a way to automate this process and potentiate ...
Center for Mathematical Modeling and Center for Medical Informatics, University of Chile
Abstract: The genetic causes of cancer include both somatic mutations and inherited germline variants. Large-scale tumor sequencing has revolutionized the identification of somatic driver alterations but has had limited impact on the identification of cancer predisposition genes (CPGs). Here we present a statistical method, ...
Abstract: Gene regulation is driven by the interaction of regulatory sequences, commonly categorized as either enhancers or promoters. Recently, using a modification of the STARR-seq assay, we identified sets of promoters with enhancer potential. Given that the majority of genetic variants associated with human diseases and ...
Characterization of regulatory variants in promoters with enhancer activity and their relation with human diseases
Speaker:
Alejandra Medina
Junior Faculty at the International Laboratory for Human Genome Research at the National Autonomous University of Mexico.
Abstract: Mostcardiovascular (CV) risk scores used in clinical practice predict the probability of CV events using information on the seven traditional cardiovascular risk factors: age, gender, hypertension, dyslipidemia, obesity, smoking and diabetes. These scores, however, fail to identify young, healthy individuals ...
Abstract: Cross-species differences form barriers to translational research that ultimately hinder the success of clinical trials, yet knowledge of species differences has yet to be systematically incorporated in the interpretation of animal models. We developed a machine learning model that leverages human and mouse public ...
Found In Translation: a machine learning model for mouse-to-human inference
Speaker:
Rachelly Normand
Shen-Orr lab at Technion – Israel Institute of Technology
Abstract: Recent technological advances have allowed us to map chromatin conformation and uncover the spatial organization of the genome inside the nucleus. These experiments have revealed the complexities of genome folding, characterized by the presence of loops and domains at different scales which can change across ...
Chromatin 3D organization revealed by chromatin networks: gene-regulation, replication, and beyond
Speaker:
Vera Pancaldi
Epigenomics and network modelling of heterogeneity in immuno-oncology lab leader at CRCT
Abstract: The development of new sequencing platforms and the combination of omics assays creates exciting opportunities for formulating and answering new scientific questions that were previously difficult to address. In this seminar I will present new methods and bioinformatics tools for the integration of multiomics data to
Multiomics and Third Generation Sequencing, at the forefront of genomics research
Speaker:
Ana Conesa
PhD, UF Preeminence Professor Bioinformatics, Genetics Institute and Microbiology and Cell Science Department, University of Florida, USA
Abstract: The biological sciences are producing impressive amounts of information about how cells function in normal and diseased states. It is now becoming possible to use computers to accurately model the behavior of cells and predict how they will respond to changes in the environment, or to drugs.
The NTNU project ...
Multidisciplinary Qualities of Systems Medicine. The pleasure of working with bioinformaticians, medical doctors and philosophers
Speaker:
Astrid Lægreid
Professor in Functional Genomics at the Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, Trondheim.
Abstract: Cancer is a global health issue with a mortality rate that is expected to rise by about 70% over the next 2 decades (World Health Organization). Despite the significant breakthroughs in its understanding, prevention, and treatment, cancer’s complexity slows the quest for its cure. The advent of high-throughput ...
