Events - Page 4
The November breakfast seminar will be about mathematical modelling of animal physiology and will be given by Assoc. Prof. Susanna Röblitz, who recently started her research group at the Computational Biology Unit.
The event will gather representatives from the centre, the centre's projects, and Research School to join a search conference shaping the future of DLN towards 2020 and beyond.
Lack of new antibiotics is a major threat to the global health. The two Digital Life projects INBioPharm and Digibiotics invite to a workshop to discuss different aspects, issues and current state of antibiotic discovery, development and production.
Professor Bonnie Berger is the Simons Professor of Mathematics at MIT, holds a joint appointment in Electrical Engineering and Computer Science, and serves as head of Computation and Biology group at MIT's Computer Science and AI Lab. Her recent work focuses on designing algorithms to gain biological insights from advances in automated data collection and the subsequent large data sets drawn from them. She works on a diverse set of problems, including Compressive Genomics, Network Inference, Structural Bioinformatics, Genomic Privacy, and Medical Genomics. Additionally, she collaborates closely with biologists in order to design experiments to maximally leverage the power of computation for biological explorations.
ERASysAPP workshop combined with the DLN Volterra lecture.
The FAIRDOM team are arranging a satellite meeting to the International Conference on Systems Biology late October this year. More details by the FAIRDOM team below.
Centre for Digital Life Norway will offer you the opportunity to work with the innovation aspect of biotechnology and life science during a two day’s workshop, 17-18 October in Oslo.
Professor Jerome S. Engel is an internationally recognized expert on innovation, entrepreneurship, and venture capital, lecturing and advising business and government leaders around the world. Most recently he has focused on lean innovation entrepreneurship and developing innovation ecosystems globally. In the current event, he will share his insights on how this can be part of innovation in biology, health care and life science.
Throughout history many different modeling approaches has been developed to understand biological systems. What can we learn from these models?
How can organisms maintain stable internal conditions in a changing environment or during growth? The concept of homeostasis has been important for understanding physiological regulation, development of disease and more recently for bioengineering and synthetic biology.
The centre welcomes Professor Natasa Pruzlj of Biomedical Data Science at UCL to give her Volterra lecture on Friday 28 September at NTNU. She will discuss linking heterogeneous data in the biomedical domain.
We are very excited that the biannual meeting for the International Study Group for Systems Biology (ISGSB) will be in Norway, Tromsø, this year! Centre for Digital Life Norway is involved in the event, which brings together systems biologists and mathematical modellers from around the world.
The course builds on approaches and technologies that we are currently developing in the NTNU DrugLogics initiative, where we use the logical modelling formalism for predicting the outcome of chemical perturbations (cancer drugs) on cancer cell fate decisions. This approach combines knowledge management, logical model construction and computational simulation with experimental assays and hypothesis testing for pre-clinical (biotechnological) drug development and clinical decision support. The course will exemplify how such approaches can be used in both the biotechnological and biomedical sectors such as pre-clinical drug discovery and repurposing, and clinical development of diagnosis and (combinatorial) treatment of cancer.
The annual conference of Digital Life Norway Research School is organized for and by the research school members.
This year's innovation day is part of the Life science Technology & Business Conference - " 37° - Digitalising Health", 19 - 20 June 2018, Stavanger, Norway.
Welcome to an academia-industry meeting day, AIMday®, focused on the use of machine learning in life science and medicine. Machine learning, in which systems automatically learn complex patterns in data, and improve from experience, is becoming an essential tool in healthcare diagnosis, treatment and care, as well as in medical research.
University - Industry Collaboration (UIC) often starts through personal contacts. To facilitate a good career start for our students and increase UIC, the Department of Biotechnology, NTNU, and the Digital Life Norway Research School, join forces and invite you to a biotech career day with focus on industry.
In this two-day workshop we invite scholars to reflect on what is being valued in existing, emerging and envisioned life science knowledge infrastructures. We ask questions like: What visions, hopes and imaginaries guide the construction of such infrastructures? What becomes enacted as valuable through the practices of constructing them? How can questions like these contribute to well-constructed research infrastructures?
Centre for Digital Life Norway in collaboration with partners welcome you to a one-day workshop on Design Thinking applied to life science and biotechnology.
The Centre for Digital Life Norway welcomes all interested to a public lecture on the role of neuroscience for the future of psychiatry by the prominent British sociologist Nikolas Rose. He will address questions such as: Where does the current scientific and popular attention to the human brain come from? Does it change how we understand ourselves? And where are the social sciences and humanities in all of this?
Prof Nikolas Rose will focus on how modern neuroscience and attention towards brain function and mental health changes how we perceive ourselves
This time Professor Nathalie Reuter will give a presentation of the Biotek2021 funded project and the use of computational biology methods for drug discovery against Chronic Obstructive Pulmonary Disease (COPD).