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Steven Steinhubl: Where “All of Us” Meets All of Us
Steven Steinhubl: Where “All of Us” Meets All of Us
All of Us is based on the principle that all the data we get from participants we give back. This is not a research program, it’s a…
quantifiedself
Apr 28, 2018
Benjamin Smarr: Changing the Definition of Baseline
Benjamin Smarr: Changing the Definition of Baseline
We’ve known that the idea of one static set point for physiological outputs is a 19th century idea since the 19th century.
quantifiedself
Apr 28, 2018
Sunita Vohra: What N-of-1 Can Do
Sunita Vohra: What N-of-1 Can Do
Instead of ‘N-of-1 trials are relevant when Randomized Control Trials are not available/applicable’, how about Randomized Control Trials…
quantifiedself
Apr 28, 2018
Camille Nebeker: Informed Consent, Self-Consent
Camille Nebeker: Informed Consent, Self-Consent
Part of the results of the Blood Testers experiment will be a checklist to help people doing self-study or group self-study think through…
quantifiedself
Apr 27, 2018
Boomer Anderson, Marcel van der Kuil: Participant Perspectives on Regulation of Research
Boomer Anderson, Marcel van der Kuil: Participant Perspectives on Regulation of Research
I was an avid self-experimenter in an ad-hoc way. But two years ago I was diagnosed with heart disease and I thought ‘maybe I should learn…
quantifiedself
Apr 27, 2018
Dana Lewis: Social Infrastructure for Participant-Led Research
Dana Lewis: Social Infrastructure for Participant-Led Research
[There’s a] perception that community, citizen or QS research is not as ‘good’ as other research. Why? Because I don’t have a PhD; as if a…
quantifiedself
Apr 27, 2018
Jeffrey Olgin: Data Aggregation for N-of-1 to “N-of-Many-Ones”
Jeffrey Olgin: Data Aggregation for N-of-1 to “N-of-Many-Ones”
“Within a few days we were able to identify the 20 most common triggers of atrial fibrillation. People with those triggers will be micro…
quantifiedself
Apr 27, 2018
Katherine Kim: What Counts as Clinical Data?
Katherine Kim: What Counts as Clinical Data?
“For the top 10% of people likely to be readmitted to the hospital, the best predictor of actual readmission was self-reported data.”…
quantifiedself
Apr 27, 2018
Xiao Li: Finding the Signal in Rich Self-Collected Data
Xiao Li: Finding the Signal in Rich Self-Collected Data
Xiao Li is a lead author on the recent paper “Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful…
quantifiedself
Apr 27, 2018
Whitney E. Boesel: Cholesterol Variability Across Postpartum Menstrual Cycles
Whitney E. Boesel: Cholesterol Variability Across Postpartum Menstrual Cycles
This might be the first project to look at what human cholesterol does over a regular menstrual cycle at high temporal resolution.
quantifiedself
Apr 27, 2018
Carsten Skarke: Characterizing the Chronobiome with “Supertrackers”
Carsten Skarke: Characterizing the Chronobiome with “Supertrackers”
Time is an under-appreciated variable in clinical medicine. Only if we understand the variability associated with health can we discern the…
quantifiedself
Apr 27, 2018
Dorothy D. Sears: Circadian Rhythms and Cardiometabolic Health
Dorothy D. Sears: Circadian Rhythms and Cardiometabolic Health
We need to learn from high frequency measures not just of glucose but body temperature, cortisol, heart rate and blood pressure. They are…
quantifiedself
Apr 27, 2018
Azure Grant: Lessons from Blood Testers, a Participant-Led Research Project
Azure Grant: Lessons from Blood Testers, a Participant-Led Research Project
“Small group research with participants who are very curious to learn about themselves, in combination with high-temporal resolution…
quantifiedself
Apr 27, 2018
Jana Beck: Carb Intake and 60 Lipid Measurements
Jana Beck: Carb Intake and 60 Lipid Measurements
“I measured my lipids every other day on a very low carb, moderate carb, and high carb diet. When you really dig into the data it’s quite…
quantifiedself
Apr 27, 2018
Hugo Campos: 10 Years with an Implantable Cardiac Device and *Almost* No Data Access
Hugo Campos: 10 Years with an Implantable Cardiac Device and *Almost* No Data Access
“In 2007, I learned that my implantable defibrillator could and would be monitored remotely. I was very excited and I asked the doctor…
quantifiedself
Apr 27, 2018
Reza Mirza: The History and Future of Single-Subject Science
Reza Mirza: The History and Future of Single-Subject Science
Reza Mirza is a resident doctor at McMaster University, and he’s the lead author of “The history and development of N-of-1 trials” in The…
quantifiedself
Apr 27, 2018
Introduction to the Quantified Self Symposium 2018
Introduction to the Quantified Self Symposium 2018
Self-observation and self-experiment predate professional science by thousands of years, shading incrementally into the general human…
quantifiedself
Apr 27, 2018
Maggie Delano: The Case for Open Instrumentation
Maggie Delano: The Case for Open Instrumentation
How do we commercialize technology in a way that allows the patient to have access to their information every step of the way? — Maggie…
quantifiedself
Apr 27, 2018
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