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Welcome to OHDSI! - Please introduce yourself

Hi All,

This is Jeremy Yang, staff biomedical research data scientist at the University of New Mexico, Dept of Internal Medicine, Translational Informatics Division (http://datascience.unm.edu/). In short we analyze mostly molecular (cheminformatics/bioinformatics) data, mostly for Illuminating the Druggable Genome (https://druggablegenome.net/), sometimes with machine learning, but also have experience with clinical data via Cerner systems. Looking forward to learning from the OHDSI and contributing too.

-Jeremy

@PaulFitz welcome to the OHDSI community! Definitely a lot of activities on Oncology side in OHDSI, including in CDM Oncology extension and vocabularies. https://www.ohdsi.org/web/wiki/doku.php?id=documentation:oncology:proposals

@jeremyjyang - welcome to OHDSI! we have been actively discussing what gene and biomarker vocabs we need to bring into OHDSI, maybe it is something you could also be interested in being involved in.

Hello everyone. I just joined the group and start my journey with you. :blush:My name is Hilda Mahmoudi, Research scientist, MD, MPH. My speciality is Community medicine. I got certification of “ Principle and Practice of clinical Research” from Harvard school of public health and collaborate with them for 4 years. I worked as Research faculty and educational instructor in NSU, and FIU, Florida.
My expertise are in study design and conduct, data analysis, evidence based medicine, epidemiology , critical appraisal of articles. I am looking forward to work with you guys to provide evidence based and scientific knowledge about COVID 19 pandemic to guide decision makers in this global battle.

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Hello

I am a physician with a Bachelors of Medicine and Surgery and a MSc Medical Genetics. .I have developed a passion for genomic and precision medicine. I have also developed a passion for digital health and data science. I am interested in pursuing a career in genomic data analysis, the interpretation and clinical application of genomic data - clinical variant curation.

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Hi, my name is Gunther Schadow, MD, PhD, I used to be a Associate Professor at Indiana University, Schools of Informatics, Medicine, Regenstrief Institute Investigator. I am leaving the links to my ResearchGate and SemanticScholar profiles:

https://www.researchgate.net/profile/Gunther_Schadow

I have a long track record in medical informatics, been pretty influential in HL7, the father of UCUM (unitsofmeasure.org). Used to be co-director of biospecimen banking at IU school of medicine. I have a pharmaceutical data management company and am an FDA contractor running the HL7 SPL based listing system. There is a lot more but I am cutting it brief. During my PhD project I was at Anesthesia and Intensive Care Unit at Benjamin-Franklin Hospital in Berlin-Steglitz, Germany. That was over 20 years ago. At the time, that place was one of the world leaders in ARDS, I think there are still “Berlin Criteria”, etc. So, I have some background in some ICU patient care and before that, even before going to medschool, in geriatrical nursing.

I am residing nowadays in Latin America, Panama, Paraguay, and Brazil. And for that reason I am less keen on high-tech methods and more keen on practical public health interventions which can be deployed quickly to protect the vulnerable population. I am of the strong belief we must QUICKLY come down to an anti-viral treatment that can meaningfully reduce the time of disease and the shedding, and can be deployed in MASS, NOW, ASAP, ideally allowing self-treating over-the-counter all suspects and their contacts so as to slash the R-naught value to naught.

I am very connected to the poor and vulnerable population here, and I am highly aware of the deep problems with reliance on governmental public health. In Brazil, for example, the public health approach in this crisis is perilous and reckless driven by the President here undercutting all efforts by the health ministry, even again this weekend organizing a mass gathering where just another 1000 CoViD cases will be spread. That same President is denying the health ministry to use HCQ for all patients to try to speed up hospital discharge. And I know why he is denying it: because he and his corrupt friends personally confiscated and then sold all stock of HCQ in Brazil to the USA. I know this because I have been on the case on the day it happened. My pharmacist friend saw the orders all cancelled, his distributor said the Government took all stock, and on the same day the health ministry said the Government had “donated” the HCQ to the USA. That press briefing video was later censored / deleted of YouTube, so there is no record of this. But they don’t have enough HCQ in the country because they corruptly sold it, someone in the US FDA must have waived through the delivery, and someone must have received and paid. Brazil has no own API production for HCQ and relied on China and India imports, and India has total export constraints, not able to produce enough for its own looming domestic catastrophe. The world market is dry.

Anyway, this experience has really opened my eyes to the urgent need for non-governmental global research and collaboration networks such as this.

I have contacts into the favelas in Rio, and I know there is a huge amount of occult cases. I know the health system is completely unprepared.

The problem is huge. And the economy is hurting globally. Wealth, retirements, livelihoods are being destroyed. We MUST work faster to devise an existing drug that can be pushed ASAP. The best candidates I can see are:

  1. HCQ+azm - problem is massive shortage. The world market is dry. India has export ban on HCQ. The world can produce no more than 80 ton of HCQ API, and this is barely enough if you had a perfectly efficient distribution. But that doesn’t exist. Governments stock-pile. I think that none of the studies so far have used the right dosing.
  2. Ivermectine - could be a game changer, but the dose required is 20 times the usual dose. This alone can create a shortage again, besides being a bit iffy from a safety perspective. But we need bold action to speed up the studies. There is existing evidence for the safety and ethical use of IVM in high dose even if that is not for the direct benefit of the patient (malaria).
  3. Favipiravir - could work, it is not available widely, but then all other drugs are in short supply. This one needs to be made by creating little plants that the people could run in their countries.

I don’t see any other viable drug right now. The others are just even less well known as to their safety profile and even harder to be available in sufficient quantities.

I am interested in RAPID DATA and I think it’s ridiculous that everyone “announces” studies which are scheduled to deliver results in 2 months. I also think we need more people self-organized studies, because the governments are in the way of actually rolling out a working treatment that can stop the pandemic. This isn’t even a matter of money. The 150 million USD that a total onslaught with HCQ+Azm would cost is peanuts, but the governments, regulators are in the way. Even if we had all the data ready showing that it could work well enough.

“Could work well enough” is the operative term here.

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Hi, Gunther.

What’s your email, mine is mshapiro@xcures.com. Would love to connect and discuss.

Mark

Gunther, as someone who has been working with OpenMRS in many of the most underserved areas of the globe, I would also be interested in your perspective. We are trying to coordinate at the point-of-care with organizations like AMPATH, PIH, MSF, etc. Direct links with the field using applications like ODK and CommCare and backend reporting with DHIS2. Have you checked openmrs.org out?

Hi Mark, it’s gunther.schadow@gmail.com.

Hi Andy, ha, do you know Paul Biondic then? And Burke Mamlin? I’ve been in Kenya once where Burke’s dad had the Hospital, AMPATH or what it was.

I am actually not that much interested in the informatics right here. I joined here because of this 4-day CoViD19 trial marathon, it seemed like this group here was the farthest along with stepping up the pace of doing fast trials with rapid data and instant results.

My friend Atif will also join in a moment, he wanted to run some trials on HCQ+Azm and anything he could really. Perhaps ivermectin he could do. Now, if you have connections to Kenya still, or whatever Tanzania, Uganda, wherever in Africa, then you could possibly push Ivermectin trial, because there they are used to high dose in conjunction with Malaria treatment. There is a unique research opportunity in Africa because they seem to have so few cases, which could be because of chloroquine or other anti-malarials and also ivermectine. I think someone should definitely work Africa!

Hi, all.
My name is Yuri Korin, I am a physician, first-year internal medicine resident at Saint-Petersburg State Univeristy, Russia and medical analyst at Odysseus Data Services.
I would like to participate in research studies on almost all fields of internal medicine, especially in the fields of comparative effectiveness and safety of drugs commonly prescribed in primary care, thrombotic events and thromboprophylaxis in cancer and rheumatological patients, preventive cardiology, cardiac side effects of cancer therapy.
I have some Python and CDM experience.

Hello, I’m an academic neonatologist in the UK. I lead the UK National Neonatal Research Database (NNRD). This contains detailed clinical information on all babies admitted to neonatal units in England, Wales and Scotland. The NNRD is a national resource, used for a very wide range of clinical, health services, epidemiological and policy research, as well as supporting clinical audit, bench-marking and quality improvement. In effect it’s a one-stop shop for health data on sick and preterm babies. I would love to link up with others involved in perinatal data.

Hello,
I am Lili Zhao. I am a research associate professor in Biostatistics department, University of Michigan. I am working on EHR data and claims data. I am happy to join the big group that work on similar problems.

Hi Everyone,
I’m James Gilbert (also known as jamie or jpeg), I’ve recently joined @Patrick_Ryan and his group at Janssen R&D. I’ll be looking at building software tools to help understand the unintended consequences of medications applied to the CDM as well as other wider applications within the OHDSI community.

This is my first venture into epidemiology, being a computer scientist by training studying and Loughborough University, before completing my PhD at the University of Nottingham in computational systems biology. Following this I moved in to the Synthetic Biology Research Centre, also at Nottingham, to study a post doc using models to understand and control the metabolism of bacteria. Here I had a big focus on the FAIR research guidelines, and looked at approaches to make research more reproducible by building standardised testing tools for genome-scale metabolic models.

I have a lot of background in programming and can work with SQL in various database environments with skills in Python, R, C++ and Java (amongst others).

I’m currently, working remotely from Canada where I’ve been taking a sabbatical that has been extended a bit (due to the ongoing crisis) but I plan on moving back to the UK in the near future. I have always been a big advocate for open source and open science solutions and I look forward to working closely with OHDSI community.

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Hi, I’m a software developer that is consulting with a small medical data company that is looking to make use of the OMOP CDM.

I started out my development career working for the Northeast Health District in Athens, GA, where we developed a point of service medical records application for the county health departments under our district. Besides developing the front end application, we also made extensive use of S [1] to analyze the collected data and to produce reports that we submitted to the state of Georgia (U.S.). I left that job to attend graduate school at Purdue University, where I receive MS in CS. Since then the bulk of my work has been in networking and distributed systems, but also includes a number of years developing hardware, firmware, and software used to measure and collect specific medical data.

I am most familiar and comfortable with C, C++, Python, and bash (really Unix/Linux shell scripts), but I have used a wide range of other programming languages over the years.

I look forward learning from the community, and hopefully I can help others out as well.

[1] This dates me as this was well before R was introduced.

Hello everyone,

My name is Teddy Youn, and I am an academic stroke neurologist and neurocritical care intensivist, interested in big data research and medical informatics, related to acute/emergent neurological outcomes as well as neurological rehabilitation and recovery. Look forward to learning more about OHDSI and how to do research with you all.

Teddy Si Youn, MD
Stroke Neurologist, Critical Care Neurointensivist
Stroke Researcher
Barrow Neurological Institute
240 W. Thomas Road
Suite 403
Phoenix, AZ 85013
(e) teddy.youn@barrowneuro.org

Hi all,

My name is Mathilde Fruchart. I am a master student at Lille University in France. I am studying health data science with an interest in data analytics and machine learning.
I learn Python, R and SQL. I am interested in the use of machine learning and data science in order to improve patient care in the hospital.

Currently I am on an internship with a research team from the intensive care unit of Lille University Hospital in France. Within the team we are developing an algorithm allowing automatic detection of time series containing measurements outside a predefined threshold.
This algorithm will be developed in an R package and generalized to different types of studies such as anesthesia, psychiatry (for instance, in biology, blood sugar can be assessed on a time scale to detect periods of hypoglycemia for a diabetic patient).

I would like to learn more about data analysis and performing using OHDSI tools. I would appreciate recommendations and indications from the community to help the progress of this project !!

Hello everyone,

My name is Xiaoqian Jiang, I am a faculty at School of Biomedical Informatics in the University of Texas Health Science Center at Houston. My research area is health privacy and predictive models for biomedical data. We work on enabling data sharing with security and privacy-protection algorithms. Data standardization and privacy protection are two pillars to support healthcare data portability. I am thrilled to join the OHDSI community and link OMOP to secure federated learning to accelerate research. We are establishing an international COVID consortium in collaboration with OHDSI, please take a look at our website: https://securecovidresearch.org

Best,
Xiaoqian

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Hey all!

My name is Kieran, and I’m the data science manager at PicnicHealth, a RWD startup in the bay area.

We collect medical records, and digitize them into an OHDSI/OMOP vocab and cdm.

Excited to learn more from you!

-Kieran

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Hello everyone!

My name is Lauren, and I’m a clinical data scientist at PicnicHealth. PicnicHealth collects real world data from medical records, and we structure our data using the OMOP data model. Looking forward to learning more about OHDSI with you all!

Lauren

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