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Swiss Data Science Center
Switzerland
Приєднався 15 лют 2019
We accompany the academic community and the industrial sector in their data science journey, putting to work AI and ML and facilitating the multidisciplinary exchange of data and knowledge
Our website : datascience.ch
Our website : datascience.ch
Science des données_partenariat CHUV, SDSC etUNIL 2024 1080p
Grâce à une collaboration entre le CHUV, l’EPFL - à travers le SDSC - et l’UNIL, une plateforme prédictive basée sur l’intelligence artificielle est en développement pour améliorer la prise en charge des patient-es.
Переглядів: 896
Відео
Data Science partnership CHUV-SDSC·UNIL 2024 English subtitles 1080p
Переглядів 248Місяць тому
Thanks to a collaboration between CHUV, EPFL - through the SDSC - and UNIL, a predictive platform based on artificial intelligence is under development to improve patient care.
SDSC Hackathons: Generative AI
Переглядів 300Місяць тому
Check out the video of our latest Hackathon focused on Generative AI. The event attracted more than 75 professionals from academia, the private sector, and public organizations, all eager to delve into the business potential of these new AI tools and technologies.
SDSC-Connect 2023: AI for Energy and Sustainable Manufacturing.
Переглядів 1887 місяців тому
In November 2023, the Swiss Data Science Center hosted its flagship event SDSC-Connect at ETH Zurich, with a focus on AI for Energy and Sustainable Manufacturing. Among the speakers were: - Prof. Joël Mesot, President, ETH Zurich - Prof. Christian Rüegg, Director, Paul Scherrer Institute - Dr. Christian Schaffner, Executive Director, ETH Energy Science Center - Dr. Gaudenz Koeppel, Chief Analyt...
SenseDynamics - Predicting aerodynamics forces from sensor data
Переглядів 299 місяців тому
SenseDynamics - Predicting aerodynamics forces from sensor data - An SDSC collaborative data science project with the Pharmacoepidemiology Group, Institute of Pharmaceutical Sciences (ETHZ) To advance state-of-the-art Machine Learning capabilities when creating precise surrogate models of transient nonlinear physical phenomena related to aerodynamics with known (quantified probability density f...
RED-ML - Reduction of high volume experimental data using machine learning
Переглядів 139 місяців тому
RED-ML - Reduction of high volume experimental data using machine learning - An SDSC collaborative data science project with the Paul Scherrer Institute (PSI) and the CSCS With the Swiss Light Source (SLS), the Swiss X-Ray Free-Electron Laser (SwissFEL), and the Swiss Spallation Neutron Source (SINQ), PSI operates large-scale research facilities that provide essential infrastructure for Swiss a...
PolyNet - Exploring disease trajectories and outcome prediction using network analysis and ML
Переглядів 179 місяців тому
PolyNet - Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning - An SDSC collaborative data science project with the Pharmacoepidemiology Group, Institute of Pharmaceutical Sciences (ETHZ) T2DM is a fast-growing chronic disease worldwide and poses a substantial burden to the patient and healthcare system. Thus, the clinical managemen...
TE4med - Transposcriptome-based identifier for precision medicine
Переглядів 99 місяців тому
TE4med - Transposcriptome-based identifier for precision medicine - An SDSC collaborative data science project with EPFL Precision oncology relies on the characterization of molecular signatures of diagnostic and treatment selection value. An algorithm that ensures not only high sensitivity and specificity, but also extreme precision in the identification of tumor subtypes is key and missing. P...
BioDetect - Deep Learning for Biodiversity Detection and Classification
Переглядів 309 місяців тому
BioDetect - Deep Learning for Biodiversity Detection and Classification - An SDSC collaborative data science project with EMPA and WSL Monitoring biodiversity is a fundamental challenge in protecting the natural world. Human-based biodiversity surveys are expensive, logistically difficult, and time-consuming. To increase the scale of data collection, ecology has increasingly turned to remote im...
MLATEM - Machine Learning tools for Analytical Transmission Electron Microscopy
Переглядів 139 місяців тому
MLATEM - Machine Learning tools for Analytical Transmission Electron Microscopy - An SDSC collaborative data science project with the Electron Spectrometry and Microscopy Laboratory, EPFL Modern transmission electron microscopes are equipped with aberration correctors and high-resolution spectrometers, which enable the spatially-resolved chemical analysis of an unlimited variety of materials on...
DLBIRHOUI - Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Переглядів 219 місяців тому
DLBIRHOUI - Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging - An SDSC collaborative data science project with the Institute for Biomedical Engineering ETH/UZH Over the last decade, Razansky lab was instrumental in the development of multi-spectral optoacoustic tomography (MSOT), transforming this novel bio-imaging technology from the initial demonstration...
AURORA - from Air pollUtion souRces tO moRtAlity
Переглядів 159 місяців тому
AURORA - from Air pollUtion souRces tO moRtAlity - An SDSC collaborative data science project with Paul Scherrer Institute, Swiss Tropical and Public Health Institute and the Faculty of Science, University of Helsinki, Finland. Atmospheric aerosols (or particulate matter, PM) are liquid or solid particles suspended in the air with diameters ranging from a few nanometers to a few tens of microme...
DeepEphys - Using machine learning for biomarker discovery in human iPSC neuronal networks
Переглядів 489 місяців тому
DeepEphys - Using machine learning for biomarker discovery in human iPSC neuronal networks - An SDSC collaborative data science project with ETH Zurich, Department of Biosystems Science and Engineering Parkinson’s disease is a severe neurodegenerative disorder that affects an increasing number of people in the world. Understanding the underlying mechanisms and the neuronal basis of this disease...
DeepCloud - A data-driven sub-grid scale parametrization for complex terrain
Переглядів 159 місяців тому
DeepCloud - A data-driven sub-grid scale parametrization for complex terrain - An SDSC collaborative data science project with ETH Zurich There is considerable consensus that the main cause of the great uncertainties in future changes in precipitation is the need to parameterize sub-grid scale (SGS) processes in climate models (GCM). The key source of error in the recent generation of GCMs is b...
SEMIRAMIS AAAD - AI-augmented Architectural Design
Переглядів 189 місяців тому
SEMIRAMIS AAAD - AI-augmented Architectural Design - An SDSC collaborative data science project with ETH Zurich, Gramazio Kohler Research, EMPA, and University of Bremen. In this research project we aim to develop a toolkit for ML-based architectural design. Traditionally, architectural design involves combining and optimizing many criteria and constraints. For performance-driven design, archit...
MLTox - Enhancing Toxicological Testing through Machine Learning
Переглядів 229 місяців тому
MLTox - Enhancing Toxicological Testing through Machine Learning
4D-Brains - Extracting Activity from Large 4D Whole-Brain Image Datasets
Переглядів 179 місяців тому
4D-Brains - Extracting Activity from Large 4D Whole-Brain Image Datasets
DeepLNAfrica - Deep statistical learning-based image analysis for socioeconomic measurement
Переглядів 219 місяців тому
DeepLNAfrica - Deep statistical learning-based image analysis for socioeconomic measurement
ArcticNAP - Arctic climate change: Exploring Natural Aerosol baseline for improved model Predictions
Переглядів 379 місяців тому
ArcticNAP - Arctic climate change: Exploring Natural Aerosol baseline for improved model Predictions
SMARTAIR - Self-guided ML Algorithms for Assimilation, Interpolation & Rendering of Flow Data
Переглядів 99 місяців тому
SMARTAIR - Self-guided ML Algorithms for Assimilation, Interpolation & Rendering of Flow Data
MACH-Flow - Machine learning for Swiss (CH) river flow estimation
Переглядів 139 місяців тому
MACH-Flow - Machine learning for Swiss (CH) river flow estimation
ML4FCC - Machine Learning for the Future Circular Collider Design
Переглядів 4510 місяців тому
ML4FCC - Machine Learning for the Future Circular Collider Design
Red Cross and Swiss Data Science Center use AI to better understand patterns of violence
Переглядів 187Рік тому
Red Cross and Swiss Data Science Center use AI to better understand patterns of violence
NLP - Narratives in Law and Politics: A Computational Linguistics Approach
Переглядів 110Рік тому
NLP - Narratives in Law and Politics: A Computational Linguistics Approach
4Real - Real-time Urban Pluvial Flood Forecasting
Переглядів 35Рік тому
4Real - Real-time Urban Pluvial Flood Forecasting
DASH - Informed attribution of changes in the hydrological cycle
Переглядів 21Рік тому
DASH - Informed attribution of changes in the hydrological cycle
DrSCS: Predicting subclonal drug response from single-cell sequencing for precision oncology
Переглядів 372 роки тому
DrSCS: Predicting subclonal drug response from single-cell sequencing for precision oncology
Semiramis - Vertical Garden - Automatic AI generation of designs
Переглядів 1272 роки тому
Semiramis - Vertical Garden - Automatic AI generation of designs
Semiramis - Vertical Gardens - Manual generation of designs
Переглядів 822 роки тому
Semiramis - Vertical Gardens - Manual generation of designs
CLIMIS4AVAL: Real-time cleansing of snow and weather data for operational avalanche forecasting
Переглядів 632 роки тому
CLIMIS4AVAL: Real-time cleansing of snow and weather data for operational avalanche forecasting
Where can we find the Dataset?
When will this be available? I am incorporating this into a presentation for my graduate bioinformatics class. I'm a medical technologist in clinical chemistry, utilizing LCMS for drugs of abuse detection in urine matrix. The intersection of bioinformatics and mass spectrometry is of interest to me. In the clinical lab, I never really use bioinformatic tools (databases), as our panel doesn't change, and we compare against internal standards. Very interested to learn more. This is a very interesting project!
Thanks Steven. This project just started - we're not expecting any results in the form of publication or tools before summer 2023.