Improving health outcomes for patients living with rare disease by enabling the selection and discovery of the most effective treatment for each patient
In addition to her training in public health, Ms. Barry brings her experience as a patient with Pulmonary Arterial Hypertension (PAH or Group 1 Pulmonary Hypertension) to this important work. Her research interests have shifted to pulmonary hypertension following her diagnosis.
Ms. Barry moderates for the Pulmonary Vascular Research Institute, as well as manages a Sotatercept (Winrevair) forum. She previously worked in personalized medicine research at Mass General Brigham.
TriAxia Health is pleased to announce that Katrina Barry, MPH, has joined us as a research intern. Ms. Barry will be working with VP Data and Analytics Vladimir Valtchinov on our research on using AI and clinical data, including imaging, to diagnose Pulmonary Hypertension.
VERY proud to announce that we have hired leading clinical data scientist Vladimir I. Valtchinov (not on twitter) as our new VP of Data & Analytics!
We're hiring! Looking for both a data engineer experienced with structured clinical data/FHIR, AI, and advanced analytics and a bioinformatacist! Email [email protected] for JDs #hiring#dataengineer#bioinformatics
We HAVE a scalable digital solution for vaccine distribution including reporting, scheduling, dose reminders, adverse event reporting, etc. This can be deployed within all health systems and retail settings. Let us help @PeterHotez@ScottGottliebMD@ASlavitt
Proud to announce that our CEO, Simon Kennedy, has joined the board of @SSIStrategy, a leading life-sciences consultancy with a focus on rare disease and gene therapy, as part of the investment made by Amulet Capital
https://t.co/ynKda3hqrQ
"... with the best machine learning algorithm, I would take A any day of the week over B.". Congrats on making the Endpoints 11! (2)
https://t.co/G19rH2xG3z
We strongly agree with @insitro CEO @DaphneKoller : "…those of us who have been working in machine learning for a very long time know that given the option between a really great data set with a relatively straightforward machine learning algorithm versus a crappy data set...(1)
Need 1 reason to learn more about the vaginal microbiome? How about 30? A disrupted #vaginalmicrobiome has been associated with over 30 conditions from #BV to #PelvicInflammatoryDisease and #Infertility. Learn more about your vaginal microbiome at: https://t.co/SsFndFGxhL.
Attending @SynBioBeta 2020 tomorrow? Celldom is a finalist in the Startup Draft from 2:15-3:00PM PT on Tuesday September 29. Come and meet Zach, Ben, and Kris. They'll be sharing investment, partnership, and early platform access opportunities. #SynBioBeta2020