In the third and final part of this series on translation science, Matthew interviews Dr. Chris Austin, SVP of Research Technologies at GSK, about what the future holds for translational science.

Chris discusses the innovations that will help us figure out new and more rapid ways to develop therapeutics. As part of this Chris explains how data, machine learning, and artificial intelligence will play a key role in these advancements. Additionally, Chris discusses the importance and challenges of generating data that can serve multiple purposes across all stages of biomedical translation; Chris highlights the important role that collaboration has in this process. Chris and Matthew also discuss the EHR and the roll that it will play in the advancement of translational science. Chris also offers insight into the challenges behind using EHRs for translational science. Finally, Chris gives insight into the kinds of skills a person early on in their career needs to focus on building to set themselves up for a career doing translational science.

Throughout all three parts of this interview, Chris references a few papers. Links to each can be found here:

"Translating Translation":

⁠https://ictr.johnshopkins.edu/wp-content/uploads/Translating-Translation-Austin-2018.pdf⁠

"Opportunities and challenges in translational science": ⁠https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504824/⁠

"The Fundamental Characteristics of a Translational Scientist":

⁠https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088880/

** Please note that this episode was recorded prior to Chris's move to GSK.

In the second episode of this three part series on translational science, Matthew interviews Dr. Chris Austin, CEO of Vesalius Therapeutics about the National Center for Advancing Translational Sciences (NCATS) and what lessons can be learned from its success. 

Chris discusses the origins of NCATS, stemming from the ground-breaking insights brought by the completion of the Human Genome Project in 2003. Chris explains how NCATS sought to break down the process of biomedical translation into comprehendible steps that could each be assessed for efficacy and efficiency. Finally, Chris gives examples of some of the "rate limiting steps" in translation that NCATS identified and how the organization tackled these issues.

Throughout all three parts of this interview, Chris references a few papers. Links to each can be found here:

"Translating Translation":

⁠https://ictr.johnshopkins.edu/wp-content/uploads/Translating-Translation-Austin-2018.pdf⁠

"Opportunities and challenges in translational science": ⁠https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504824/⁠

"The Fundamental Characteristics of a Translational Scientist":

⁠https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088880/

In the first episode of this three part series on translational science, Matthew interviews Dr. Chris Austin, CEO of Vesalius Therapeutics about what the discipline of translational science is.

Chris gives his definition of the process of biomedical translation, as well as what translational science is and how it relates to this overall process. Chris highlights how translational science seeks to understand the reasons behind why therapeutics fail and how these factors can be mitigated, with the ultimate goal of accelerating the development of novel therapeutics.

Throughout all three parts of this interview, Chris references a few papers. Links to each can be found here:

"Translating Translation":

https://ictr.johnshopkins.edu/wp-content/uploads/Translating-Translation-Austin-2018.pdf

"Opportunities and challenges in translational science": https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504824/

"The Fundamental Characteristics of a Translational Scientist":

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088880/

In this episode of the SMART Healthcare Podcast, Matthew conducts a three part interview of Dr. Brian Anderson, Chief Digital Health Physician at MITRE.

In the final part of the series, Dr. Anderson sheds light on the skills that someone interested In a career in digital health should build.

In this episode of the SMART Healthcare Podcast, Matthew conducts a three part interview of Dr. Brian Anderson, Chief Digital Health Physician at MITRE.

In part two of this interview, Dr. Anderson describes the challenges that digital health is facing, particularly with regards to creating safe, trustworthy, and effective models. Dr. Anderson explains how the Coalition for Health AI (CHAI) brings over 730 different organizations together to facilitate the creation of responsible, trustworthy, and transparent health AI.

In this episode of the SMART Healthcare Podcast, Matthew conducts a three part interview of Dr. Brian Anderson, Chief Digital Health Physician at MITRE. In the first part of this interview, Dr. Anderson explains what digital health is and what needs it will be able to address. In addition to this, Dr. Anderson describes what he believes the future holds as digital health grows and evolves.

In this episode of the SMART Healthcare Podcast, Matthew interviews Dr. Ron Vale, the award-winning scientist who discovered a protein called Kinesin. Kinesin, as well as other associated proteins, are responsible for the movement of molecules within a cell. In this interview, Ron responds to questions about a 2012 article he wrote, where he reflects on this discovery and what made it possible. As part of this, Ron will discuss the process of scientific discovery and how young scientists can best set themselves up to be ready for the next frontier of science. 

In this episode of the SMART Healthcare Podcast, Matthew interviews Dr. Mark Graber, founder of the Society to Improve Diagnosis in Medicine (SIDM). Diagnosis is no easy feat, and it requires the physician to carefully consider a multitude of factors through a process known as a differential diagnosis; in 90% of the cases, the correct diagnosis is able to be reached via this method. However, in the other 10% of cases, something goes awry, resulting in a false diagnosis. The errors that result in misdiagnosis are quite broad, ranging from human error to systemic problems affecting how fast lab results or other information is made available to the physician. A big part in mitigating these errors has been the rise of the Electronic Medical Record (EMR), which has made information more accessible to the physician, while also allowing the patient to begin playing more of a role in diagnosis. In tandem with the EMR, the creation of clinical decision support (CDS) software is helping provide physicians with even more context in regards to what conditions they should be considering when creating a differential diagnosis.

In the first installment of the SMART Healthcare Podcast, Matthew interviews Dr. Bob Rogers, co-author of the upcoming book titled "Demystifying AI for the Enterprise." With the growth of algorithm development in healthcare over the past couple decades, there have been increasing problems surrounding both the security of patient data, as well as the intellectual property being developed. The coalescing of these issues has put a major roadblock in the development and testing of new clinical algorithms. However, a company co-founded by Bob, called BeekeeperAI, is paving the way forward by facilitating a zero trust interaction between algorithm developers and data stewards. In this environment, the validity of these algorithms can be assessed in the context of real-world data, all without algorithm developers having to expose their algorithm or data stewards having to release data. 

If you would like to read Bob's upcoming book, you can preorder it at: https://www.routledge.com/Demystifying-AI-for-the-Enterprise-A-Playbook-for-Business-Value-and/Natarajan-Rogers-Dixon-Christensen-Borne-Wilkinson-Mohan/p/book/9781032145204