Our team works on researching seed ideas for innovative healthcare technologies and bringing them to fruition for IBM clients. We believe that medicine can greatly benefit from technologies that learn from the rich clinical and wellness data being collected nowadays in vast quantities. Our vision is that combining medical knowledge with technical eminence in machine learning, deep learning, causal inference, and decision analytics applied to the right data can result in better sustainable care. To achieve this ambitious goal, we partner with leaders from the local and global ecosystem such as Maccabi Health, Sagol Neuroscience School at Tel Aviv University, Teva Pharmaceuticals, University of Miami Health System, and many others.
Our research technologies include:
- Machine learning
- Causal analysis
- Medical imaging analysis
- Cognitive computing
- Deep learning
- Image analytics
What's special about what we do?
Our work is about innovation and exploiting data to gain smarter insights. We support pharmaceutical companies in designing and studying clinical trials, and specifically understanding post-launch patient data (Real World Evidence studies). This helps health policy makers carry out more informed decisions on how to prevent and proactively address particular health conditions. It can also help physicians make better decisions and diagnoses. We can analyze diverse data including radiology images, text data, structured data, and sensor data.
Our partners and networks