Dr. Wayne Danter is the founder of 123Genetix and is a pioneer in the evolving interface between artificial intelligence (“AI”) and pharmacotherapeutics. He has conducted extensive research on the medical application of AI technologies to disease diagnosis, outcome prediction and personalized therapies. Much of his research has focused on developing Hybrid AI models of the relationships between molecular structure and biological activity. His research has been published in peer-reviewed journals and he has been an invited presenter and panelist at numerous international meetings.
Prior to founding 123Genetix, Dr. Danter was the President, CEO and CSO of Critical Outcome Technologies Inc., which he also founded. While at Critical Outcome Technologies, he invented a proprietary, AI-based technology platform that utilizes a series of predictive computer models to identify compounds with a high probability of being successfully developed from disease specific drug discovery and chemical optimization through preclinical testing and early clinical testing.
Earlier in his career, Dr. Danter was an Associate Professor of Medicine at the University of Western Ontario (now Western University). His clinical focus at the University was in General Cardiology, Cardiovascular Diseases associated with HIV, and Cardiovascular Risk Management. Dr. Danter trained at the University of Western Ontario in Internal Medicine, Clinical Pharmacology and Critical Care.
At 123Genetix, we believe that AI/machine learning has the potential to play a major role in the world of rare disease research by empowering researchers to: (1) develop new disease hypotheses; (2) design and run experimental simulations to test those hypotheses; (3) write better grants and (4) identify potential disease specific biomarkers.
It's Rare Disease Day today. Organizations around the globe are continuing their efforts to spread awareness about rare diseases, organizations, research efforts, and treatments. In honour of those efforts everywhere, we have put together this presentation on the Top 5 Facts About Rare Diseases. Please share.
A rare disease is a disease that affects a small percentage of the population. But how rare does it have to be in order to be classified as a rare disease?
In the United States, there are more than 7,000 known rare diseases that together affect about ten percent of the population (that's roughly 30 million people). In the U.S. a disease is defined as “rare” if it affects fewer than 200,000 individuals, or roughly one in 1500. This definition was created by Congress in the Orphan Drug Act of 1983. Rare diseases became known as orphan diseases because drug companies were not interested in adopting them to develop treatments.
In Europe a disease or disorder is defined as rare when it affects less than 1 in 2000 citizens. While an individual disease might be labeled as “rare”, the total number of persons in Europe suffering from a rare diseases is estimated at over 30 million.
So, while the amount of people suffering from any one individual rare disease may be small, together the rare disease population is not rare at all.
#RareButNotForgotten #StrongerTogether #RareDisease
There are many challenges that exist when it comes to advancing knowledge of and treatment options for rare diseases. Pharmaceutical and biotechnology companies are often reluctant to fund rare diseases research because of the perceived poor economics associated with the small target populations. Even for those rare conditions where funding is plentiful and manufacturers of therapeutics are engaged, methodological and data constraints limit the ability to generate evidence on patient health outcomes. Contributing to the challenges are the small number of eligible participants for a given research study and the geographic dispersion of patients. As a result, relatively little is known about the clinical course of many rare diseases and only five percent of rare diseases have FDA approved therapies.
Contrary to some people’s thinking, we believe that there is considerable research interest, and if more money were to be made available for research on rare diseases, more researchers would be willing to devote their lives to that research.
For those who do devote their time and efforts to researching rare diseases, we created 123Genetix to help empower you and advance your efforts. We have developed a growing library of computational models of rare diseases around the globe. These models are easily customizable by the investigator and have a number of important applications, including:
As part of the ongoing development and validation of this new technology we intend to make these models available free of charge to select not-for-profit researchers. In the meantime, we need your help in raising awareness of our organization and our technology in advance of our upcoming crowdfunding campaign in early 2018.
Please feel free to share this blog post via social media and follow 123Genetix on Twitter and Facebook.
Together we can help ensure that rare does not mean forgotten.
Sign up to our email list to get notified of our upcoming crowdfunding campaign, service roll out and other important updates.
Dr. Wayne Danter, President and Founder of 123Genetix, will be attending the Canadian Organization for Rare Disorders’ (CORD) 2017 Fall Conference from November 6th to 7th at the Hyatt Regency in Toronto, Ontario.
A Moon Shot for Rare Disorders
The theme for this year’s conference is “A Moon Shot for Rare Disorders: Leave No one Behind.” Objectives of the conference are to create a shared understanding of the patient journey; to mobilize stakeholders around a common vision for Rare Disease Canada; and, to create a guiding framework to map current resources, define gaps, identify opportunities and challenges, and prioritize needs.
Research Empowering Technology
Dr. Danter will be on hand to discuss 123Genetix’s proprietary rare disease research empowering platform technology, DeepNEU – a highly novel deep learning computational platform that combines (1) extensive and publicly available rare diseases gene network data with (2) modified Neutrosophic Logic, and (3) features of deep ANNs and Support Vector Machines.
Interested parties wanting to meet with Dr. Danter during the conference should contact him by email at email@example.com.
CORD is Canada’s national network for organizations representing all those with rare disorders. CORD provides a strong common voice to advocate for health policy and a healthcare system that works for those with rare disorders. CORD works with governments, researchers, clinicians and industry to promote research, diagnosis, treatment and services for all rare disorders in Canada. For more information, visit the organization’s website at www.raredisorders.ca.
123Genetix is an innovative new social enterprise created to empower rare disease research. At 123Genetix we believe that rare should not mean forgotten. To empower rare disease research we have created a growing library of computational models of rare diseases. These models are easily customizable by the investigator and have a number of important applications. They are designed for hypothesis generation, research and experimental planning, grant writing and novel targeted therapy identification.
Join our growing base of rare disease advocates!
Rare disease research is hindered by severely limited resources. We plan on doing something about this, but we need your help.
Sadly, less than 50% of currently recognized rare diseases have organizations to advocate on behalf of patients and rare disease research. Compounding the problem, pharmaceutical and biotechnology companies are often reluctant to fund rare diseases research because of the perceived poor economics associated with the small target populations.
So, we are hoping to do a crowdfunding to help raise proceeds for us to provide our rare disease biology modeling technology to a non-profit researcher free of charge.
Our computational models of rare diseases are easily customizable by the investigator and have a number of important applications. They are designed for hypothesis generation, research and experimental planning, grant writing and identification of potential biomarkers.
Help us get the word out about our upcoming crowdfunding. Visit our page on Krowdster. Sign up there and get a unique referral link to provide to your friends. Refer the most friends to our follower list and you can pick a rare disease of your choice (non cancer) to be added to our shortlist of diseases to target first. Or, if you just want to receive updates about our service roll-out, sign up to our email list on our Contact Us page.
Deep neural networks, and combinations of supervised, semi-supervised and unsupervised learning techniques, are increasingly being used to solve difficult problems in medical image analysis, medical diagnosis, and analysis of biomarkers.
Deep learning is a branch of machine learning and often refers to artificial neural networks (“ANN”) that are composed of many layers. Broadly speaking, the goal of deep learning is to model complex, hierarchical features in data. It involves feeding a computer system a lot of data, which it can use to make decisions about other previously unseen data. Deep learning is about learning to predict in ways which can involve more complex dependencies between the input features.
In layman terms, neural networks are essentially computational models that attempt to mimic the action potential cascades that typify biological data processing (i.e. like our brain). So artificial neurons essentially act as little processors. ANNs are generally presented as systems of interconnected "neurons" which exchange messages between each other. These networks ask a series of binary true/false questions, or extract a numerical value, of every bit of data which pass through them, and classify it according to the answers received. The connections have numeric weights that can be tuned based on experience, making neural nets adaptive to inputs and capable of both supervised and unsupervised learning.
Thirty or forty years ago, neural networks were only two or three layers deep as it was not computationally feasible to build larger networks. Today it is common to have neural networks with 10+ layers and even 100+ layer ANNs are not unheard of. In fact, our DeepNEU models currently have thousands of layers.
Enter 123Genetix and DeepNEU
DeepNEU is our big data solution specifically engineered to empower rare diseases researchers. This highly novel deep learning computational platform combines (1) extensive and publicly available rare diseases gene network data with (2) modified Neutrosophic Logic, and (3) features of deep ANNs and Support Vector Machines.
The current version (v2.1) of DeepNEU continues to undergo testing and has been used to generate beta versions of several rare disease models for which the underlying genetics and clinical features are reasonably well characterized. A few examples of such well characterized diseases are Cystic Fibrosis, Duchenne Muscular Dystrophy and Sickle Cell Disease. These system biology models are easily customized to meet individual researchers’ needs. The purpose of these advanced models is to empower rare disease researchers to: (1) develop new disease hypotheses; (2) design and run experimental simulations to test those hypotheses; (3) write better grants and (4) identify potential disease specific biomarkers.
While DeepNEU itself is not a drug discovery engine, the identification of novel biomarkers should drive future research towards new and effective therapies where none exist now.
Over 300 million people are affected by about 7000 rare diseases around the world. Sadly, there are tremendous resource limitations and challenges in driving research and drug development for rare diseases. Innovative approaches to these challenges are needed.
Welcome to our blog. We intend to use this space to help you get to know our organization, our team and our mission, as well as to create more awareness for rare diseases and the limitations their researchers face.
We hope that this is the beginning of a defining time for rare disease research. We are thrilled to have you as a reader and we hope to make you a supporter. To keep up to date on what we're doing here at 123Genetix, we invite you to follow us on Facebook and/or Twitter. You can also connect with us on LinkedIn, and to ensure you never miss any of our future blog posts, you can subscribe to our RSS feed.
Thanks for visiting.
Today marks the Phase 1 launch of 123Genetix, a new social enterprise created to advance rare disease research and transform the lives of those affected by rare diseases around the globe. 123Genetix is introducing its proprietary predictive computer models of rare disease biology to empower medical researchers to discover potential new research directions that may identify disease specific biomarkers that can lead to new and effective treatments for various rare diseases. The company’s advanced deep learning technology will be made available free of charge to not-for-profit researchers and organizations.
“We passionately believe the time is right for our transformative platform technology and a novel approach to empower rare disease research and improve the lives of families affected by rare diseases. At this time we are looking to create awareness for 123Genetix and our technology solution as we continue to forge relationships with relevant medical researchers and organizations. Our Phase 1 launch includes our website and blog at www.123genetix.com, as well as the use of Twitter and Facebook. I urge anyone interested in rare disease research to follow our social media accounts. A more formal launch of our not-for-profit technology solution will take place in about three months.” - Dr. Wayne Danter, Chief Science Officer and founder
The Unmet Need: A rare disease is generally a disease that affects a small percentage of the population. However, rare diseases are more common than you might think. There are more than 7,000 known rare diseases affecting over 300 million people worldwide. That’s almost the size of the population of the United States. In North America, rare diseases affect 8% to 10% of the population. About 80% of rare diseases have a genetic basis and 50% of rare diseases affect children. Unfortunately, less than 50% of known rare diseases have organizations to advocate on behalf of patients and their families. Compounding this ongoing problem is the ever increasing competition for limited and diminishing resources supporting rare diseases research.
Our Solution: DeepNEU is 123Genetix’s novel systems biology platform capable of evolving complex editable rare disease specific computer models. These models can be individualized by rare disease researchers to: (1) develop new hypotheses; (2) design and run experimental simulations to test those hypotheses; (3) write better grants; and, (4) discover potential biomarkers.
About our blog
We intend to use this space to help you get to know 123Genetix, our team and our mission, as well as to create more awareness for rare diseases and the limitations their researchers face.