Team Science: the key to unlocking scientific advancement

You know the phrase, “two heads are better than one”? Sometimes, many heads are needed to solve a problem; this is especially true for the problems we face in brain health. For this reason, OBI believes in a collaborative model to solve complex problems by forming sustainable partnerships in research, commercialisation and care. In this case, many brains that think differently are better than one. Continue reading “Team Science: the key to unlocking scientific advancement”

Using A Patient-Centered Approach

 

Our health system requires that we ensure our research is relevant to the needs of patients and their families/caregivers, while empowering and supporting patients as partners.   Indeed research ought to be the standard-of-care with the goal of continuous improvement. Partnerships in this virtuous cycle of improvement will generate increased knowledge and tools for self-management of health and lead to better quality evidence that reaches the community faster.

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Towards a learning healthcare system through collaboration

There is no question that the looming grey tsunami of the ageing population in Ontario has significant implications with regards to healthcare services. A key concept which is emerging is the opportunity to foster and maintain brain health across the lifespan where optimal performance and quality is sustained. While much focus has been on the attempts to intervene once brain disease has taken hold, progress has been slow.

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Connecting Research Back to the Community

Ontario Brain Institute (OBI) believes connecting its research programs with patients and their advocates is critical to having relevant and high impact programs.

OBI has worked with each of its Integrated Discovery Programs (ID) to form five separate Patient Advisory Committees (PACs) that consist of advisors from various neurological health charities (e.g., Alzheimer Society of Ontario or Autism Ontario), researchers, caregivers, and patients. The purpose of these committees is to bring the patient voice to our ID Programs, promote knowledge exchange between patients, advocates, caregivers and researchers, discuss key issues for patients, and connect the research back to their communities faster. Continue reading “Connecting Research Back to the Community”

Brain-CODE Offers First Open Data Access

Ontario has one of the highest concentrations of brain researchers anywhere in the world. But researchers in this community largely worked in isolation and tended not to share ideas or data. The Ontario Brain Institute’s (OBI’s) Integrated Discovery Programs changed this and brought large groups of researchers together to better understand and treat brain disorders. This collaborative approach led to the idea of standardizing data and housing it in a shared space where it is curated, analyzed and shared. This ensures that the data are collected in the same manner, making it easier to share and accelerate discovery. Continue reading “Brain-CODE Offers First Open Data Access”

Enhancing the Neuroscience Research System through Strategic Collaborations

Brain disorders affect one in three Ontarians and the direct cost to the province exceeds $4 billion each year. The indirect costs from work missed and the emotional costs for families are incalculable and create an urgency to address brain health by means of innovation and translational research that can improve the quality of life for people living with brain disorders. Continue reading “Enhancing the Neuroscience Research System through Strategic Collaborations”

Another side of cerebral palsy: the genetic story

Photo credit: Veronica Rousseau

By: Shaalee Sone, Outreach Intern, Ontario Brain Institute

In the age of genomics we are racing to uncover what our genes say about us. If we had the ability to read our genetic code and learn what’s in store, we could play to our strengths and prepare for our limitations.

One obstacle to deciphering the information in our genes is knowing what patterns to look for in specific genes. For some disorders, like Huntington’s disease, clinicians know exactly what gene to look at and how to read the signs. Other diseases, like cancer, are too diverse to find a single gene pattern; instead, we subdivide cancer into sets and look for gene patterns in each set.

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