Towards Intelligent Sensor-enhanced Robotic Neurosurgery
CSEM
CV
The “Extended-Personal Reality”: augmented recording and transmission of virtual senses through
artificial-IntelligENCE
UniBE
ML
Sensory predictions in the human brain
FHNW
NLP
Researching intelligent chatbots as healthcare coaches
BFH
ML
Gov-ELSI
PPML-Health: A Privacy-Preserving Machine Learning Infrastructure for Health Research
ML
MAS
Gov-ELSI
Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge
UZH
ML
Patient Journey Analysis for Medical Knowledge Discovery and Clinical Decision Making
UniBE
Robotics
HMI
Optimize Motor Learning to Improve Neurorehabilitation
UNIGE
NLP
NLU4EHR: Natural Language Understanding for Electronic Health Records Analytics
EPFL
ML
Neural circuits mechanisms of forelimb motor adaptation
FHNW
ML
Mitigating of Macro- and Micro-Plastics in Agriculture Soils using Hyperspectral Imaging (MIRACLE)
Idiap
ML
Robotics
HMI
Learning by Switching Roles in Physical Human-Robot Collaboration
ML
Interpretable artificial intelligence for computational biology: extracting new insights from single-cell proteomic data.
UZH
Gov-ELSI
Imaginaries of Artificial Intelligence: The Communicative Construction of AI in China, Germany and the US
EPFL
Gov-ELSI
HYBRID MINDS: Experiential, Ethical and Legal Exploration of Intelligent Neuroprostheses
UZH
ML
Harnessing novel technologies for precision medicine in pediatric diffuse midline glioma
CSEM
ML
Exploring full content of optical signals to enhance cardiac arrhythmia screening
CSEM
ML
Exploring full content of optical signals to enhance cardiac arrhythmia screening
UZH
ML
NLP
Enhanced Code Review: Using Context and Learning from Review Experience
SUPSI
ML
Detecting Troll Activity in Online Social Networks
UniBE
CV
ML
Design and Evaluation of a Vehicle Hypoaglycemia Warning System in Diabetes (HEADWIND Project)
UZH
ML
Derivation of pediatric sepsis phenotypes using machine learning applied to clinical, functional and genomic data from the swiss pediatric sepsis study
NLP
CV
HMI
Comprehensive data-driven Risk and Threat Assessment Methods for the Early and Reliable Identification, Validation and Analysis of migration-related risks
ETHZ
ML
Combining artificial intelligence and environmental DNA to improve the prediction of marine fish range shifts under global change
UNIL
ML
Characterizing heart failure with preserved ejection fraction - an integrative approach that combines quantitative MRI, metabolomics, and genomics with machine learning
CSEM
ML
Bridging gaps in the neuroimaging puzzle: advanced techniques for comprehensive mapping of brain anatomy and multi-scale network activity
UniBE
ML
Artificial Intelligence for Integrated Multi-tracer PET Imaging supporting Biomarker Development for Neurodegenerative Disorders
CSEM
Accelerating Innovation in Microfabricated Medical Devices
