AI with Roche

Collaborative
for Healthcare Transformation.

AI with Roche (aiR) is committed to delivering improved health outcomes through the discovery and application of artificial intelligence research underpinned by an open and collaborative exchange and uniquely supported by Roche expertise.

See AIR in action

Want to get involved? We have a number of open science challenges tentatively planned for early 2023! Find out more →

aiR is accelerating early data insights generation to bring tangible beneﬁts to patients now and for the future.

As we challenge ourselves to explore new methods and solutions to improve health outcomes for our communities, we recognize the great potential AI may bring to every part of the patient journey. As a tool and discipline, it is revolutionizing how we diagnose and treat diseases and discover new drugs while making health care more efficient, effective, and affordable in ways that are both responsible and transformative.

Safety and Ethics

The genesis of aiR lies in the belief that by bringing the most innovative research in AI to the forefront, we can make significant improvements in the health outcomes of our communities.

Leading Edge AI Research

aiR exists to foster a highly collaborative environment and methodology. To that end, we facilitate meaningful public and private partnerships with an eye on impactful innovation.

Facilitating Partnerships

aiR has been organized to foster a highly collaborative environment and methodology. To that end, we facilitate partnerships with an eye to innovation.

Mobilizing AI into Practice

While scholarship may ground our work, practical application gives it its reason for being. We look to deliver real world solutions for real world challenges.

Partnering With Leading AI Institutes

aiR is proud to partner with leading academic organizations in the research of artificial intelligence solutions, amii, Mila, and the Vector Institute.

Part of a Vibrant AI Ecosystem

The AI ecosystem is a multi-disciplinary one which we are proud to be a part of. The diversity of people, of thought, and approach is vital to our work — and we believe that by tapping into this robust and vibrant community, we can best deliver on our core purpose to improve health outcomes.

Community-Driven Science

aiR is a part of a Learning Health System comprised of patients, healthcare providers, and the AI community. The ecosystem relies on all parties working together to generate meaningful and higher-quality data, deploy tools to assist in transforming those insights into action, and build safe spaces for experimentation with new innovations.

Impactful solutions start with the patient.

Our work aims to be truly patient-centric and approached from the patient’s perspective, ensuring we are listening to the patient’s needs and drawing meaningful conclusions. We seek to bring our expertise to partnerships and solutions that put the person first, and that facilitate the best experience and outcome for that person throughout their healthcare journey.

What is Data Governance?

Data Governance is a best practices framework for managing data assets. It defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across an organization or community of stakeholders, and ensures the interests of the community members are protected when it comes to managing their health data.

What does infrastructure refer to in this context?

A system that is able to store, capture, and share health data in a safe, secure and effective and compliant manner across the community. Infrastructure connects existing systems and utilizes methods and solutions to combine data points and harness bigger data.

What is Solutions Development?

At aiR, we are developing health solutions for citizens — designed and informed through the effective use of health data and insights — and encompassing perspectives from all community members.

What is Data Synthesis?

Drawing from real-world experiences and generating data to continually provide real-time feedback to the system, healthcare providers, and patients. This feedback can be used to enable quality improvement in health solutions. Effective data synthesis involves transparent research plans ahead of data collection.

Dynamic Teams

At aiR, we create forums for public, private and academic discussion and use open science to engage people and organizations that would not normally come together to solve real world challenges. Every challenge is completely unique as are the teams that come together to address them.

view all consortiums

Roche Data Science Coalition

COVID Long-hauler Project

EndALS

AI-based Precision Oncology Platform for Development of RNA-based Predictive Biomarkers of Drug Response

Synthetic Data Bootcamp

Upcoming Events

Open Science Challenges

In collaboration with our aiR partners, we have a number of open science challenges tentatively planned for early 2023.

These open science challenges will be in the areas of rare diseases and neuroimmunology, and will request the expertise from the community (e.g. research institutes, industry, startups, health delivery organizations, patients, clinicians) to solve pertinent health challenges in these areas. If you or your team have an interest in collaborating with us on these open science challenges, please reach out to us below.

View More Events

Let’s Collaborate

Please share with us your ambitions as well as your challenges in adopting AI, and we will reach out to you soon:

[email protected]

What to Include

Some background on your organization
Would you like to participate in an existing initiative or do you have an idea for a new initiative?
Are you interested in implementing AI into medical practice, educating your organization on AI in healthcare, or contributing to the development of AI studies?
Anything else you think we should know

What Not to Include

Confidential or proprietary information

Collaborative for Healthcare Transformation.