Conferences  >  Life Sciences  >  Systems Biology and Computational Biology

Centre de recherches mathématiques (CRM)

While network models have been studied as independent systems, efforts in neuroscience in recent years has been put towards inferring networks of the brain from imaging data. Using probabilistic methods and inverse models, recurrent networks across populations and their change with disease have been characterized based on input from electrophysiological and functional imaging.

This sub-theme will cover the notions of network dynamics, discuss conceptual frameworks to model brain network topology and provide the latest progress in neural network inference from imaging data and associated methodological approaches at modeling networks of the brain.

European Molecular Biology Organization – EMBO

European Molecular Biology Organization – EMBO

Biology,    Molecular Biology

European Molecular Biology Organization – EMBO

Student Neuroscience Society Neuronus

Neuronus Neuroscience Forum is the biggest international neuroscience conference in Poland organized biennially by students from the Jagiellonian University in Krakow. The scope of topics covers general neurobiology, computational, cognitive and affective neuroscience, as well as clinical neurology. The conference aims to gather representatives of diverse sub-disciplines. Everyone is invited: students, doctoral students, enthusiasts, scientists. Remarkable lecturers from all over the world will give keynote presentations for the participants. Young researchers will have the opportunity to present their own experiments during poster sessions and oral seminars.

Email: neuronusforum@uj.edu.pl

neuroscience, brain, neurobiology, computational, medicine, cognitive, biology, psychology, psychiatry, emotions, molecular, science, nervous system, technology, behaviour, therapeutic, neuroinformatics

Biology,    Neurology

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The conference is hosted by the DST/NRF SARChI Chair (M3B2) and the Department of Mathematics & Applied Mathematics, University of Pretoria.

The annual international conference on Mathematical Methods and Models in Biosciences (Biomath) will take place from 16 June to 22 June 2024 in the Cutty Sark Resort, Scottburgh, South Africa. Biomath 2024 is devoted to recent research in life sciences based on applications of mathematics as well as mathematics applied to or motivated by biological studies. It is a multidisciplinary meeting forum for researchers who develop and apply mathematical and computational tools to the study of phenomena in the broad fields of biology, ecology, medicine, biophysics, biochemistry, pharmacokinetics, chemoinformatics, biotechnology, bioengineering, environmental science, etc.

Applied Mathematics (in general),    Biophysics, Medical Physics

Sciencezo Planet

A cell’s hereditary material is comprised of nucleic acids, which allows living organisms to pass on the genetic information from one generation to next. The Nucleotides in both DNA and RNA are comprised up of a sugar, a nitrogen base, and a phosphate molecule. Nucleic acids are long chains of nucleotides joined together by phosphodiester bonds. Nucleic acids comprised of: deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA and RNA having slight difference in their chemical composition, yet play importantly different biological roles. In the proposed Nucleic Acids 2024, we will bring together various eminent researchers working on molecular biology (Nucleic Acids) to learn and share the latest advancements in the field of cutting-edge applications in biology, functional nucleic acids, basic principles, human health, and its related diseases. It is a broad audience gathering for exploring the advancement in RNA, Genome Dynamics, DNA damage and repair, maintenance and replication, structure and structure-function studies of nucleic acids and protein, innovative techniques at molecular and chemical level, and current aspects of CRISPR etc. which focus on its research and wider applications.

Email: suzannewilliams@sciencezoplanet.com

Molecular Biology and Techniques, Genome Dynamics and Mutagenesis, Human Statistical Genetics, Molecular Genetics & Epigenetics, CRISPR Technology, DNA Replication & Recombination, DNA Damage and Repair, RNA Editing and Interference, Recombinant DNA Technology, RNA Processing and Protein Synthesis, Alternate Nucleic Acid Structures, Computational Molecular Biology, Personalized Medicines, Thermodynamics of Nucleic Acid, Sequencing & Microarrays, RNA Processing and Protein Synthesis

Molecular Biology,    Genomics and Bioinformatics

Fields Institute

This workshop aims to showcase the state-of-the-art mathematical and computational models that are in use in mathematical oncology, with a particular focus on the fourteen hallmarks of cancer. New modeling challenges arise from these hallmarks. Some of the hallmarks relate to the characteristics of the cancer cells themselves (sub-cellular and cellular level), while others include more global effects such as blood circulation, the immune response, the effect and role of the microenvironment, mechanical forces, and the microbiome. Matching the biological diversity of the cancer hallmarks, is the diversity of mathematical approaches and techniques that have been used and are in use to give insight into the growth and spread of cancer – for example, continuum and discrete models; ordinary and partial differential equation models; individual-based and agent-based models; hybrid models; deterministic and stochastic approaches; analytical and computational approaches. Many of these processes act on very different spatial and temporal scales. Hence a new integrated multiscale mathematical modeling framework is needed to include new aspects and insights, such as spatial stochastic models and local and non-local partial differential equation models.

Oncology,    Modeling and Simulation

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Epidemiology & Public Health

Fields Institute

This workshop aims to take a closer look at how mathematical and computational models can help answer clinically relevant questions and enhance multimodal treatments. Currently, a wide range of modelling approaches study cancer and have a crucial role in treatment delivery from answering questions related to cancer biology and treatment efficacy to directly helping with treatment delivery. In this workshop, we would like to bring together clinicians, biomedical experts, experimentalists, and mathematicians to explore some of the relevant questions on multimodal treatment modelling, efficacy, optimization, drug resistance and clinical delivery.

Oncology,    Modeling and Simulation

Fields Institute

This workshop explores research in methods aimed at connecting mathematical models of cancer evolution and clinical data. It focuses on ecology and evolution of cancer. Traditionally, ecology and evolution have been the most “mathematical” (and perhaps the first mathematical) areas of biology. Mathematical contributions to these fields made in the 20th century are now fundamental parts of scientific knowledge. More recently, methods of ecology and evolution have found their way into oncology, bridging traditional molecular biology and mathematics including stochastic processes, dynamical systems, and nonlinear partial differential equations. New biological challenges lead to difficult mathematical problems and beautiful solutions, which are both innovative mathematically and impactful from the point of view of public health. These will be the focus of the proposed workshop .

Oncology,    Modeling and Simulation

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Geometry and Topology

Fields Institute

Immunotherapies have revolutionized treatments for several types of cancers, but have been met with clinical trial failures in others. The idea of eliciting an immune response against a tumour is old, but we are only just beginning to harness the potential of the immune system to treat both solid and liquid tumours. To improve immunotherapeutic approaches requires understanding how the immune system interacts around and within a tumour, allowing us to establish effective immunotherapeutic protocols. Mathematical modelling can help identify the mechanisms at the heart of immunotherapeutic efficacy and design successful therapeutic regimens. Close collaboration between experimentalists, clinicians, and quantitative researchers in academia and industry is required to forward models for implementation. This workshop will focus on tightening the links between researchers in different fields to fuel immunotherapy success.

Oncology,    Modeling and Simulation

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The progress in understanding genes and genomes has given a boost to the use of synthetic DNA for biological and technological applications. Synthetic nucleic acids play a central role in synthetic biology and in emerging therapeutic paradigms, e.g., genome editing and nucleic acid vaccines. DNA-based data storage is making significant progress, and thanks to its extreme data-density, its high durability and its timelessness, it is promising to be the next standard for data archival systems. Synthetic biology and the use of synthetic DNA for information storage applications bring important algorithmic and data analysis challenges. In synthetic biology, reagent and assay design are often driven by algorithmic approaches. Novel synthesis technologies offer cost-reduction by several orders of magnitude at the cost of increased error-rate, raising new coding-theoretic questions. This Dagstuhl Seminar aims to bring together leading biologists, chemists, engineers, computer/data scientists, and theoreticians working on synthetic biology and on DNA-based data storage, to enable joint work in small groups leading to discussing and exploring recent advancements and current challenges.

Molecular Biology,    Genomics and Bioinformatics