FollowYourGut
Health optimization with data driven insights
Transform complex health data into a personalized well-being roadmap. FollowYourGut combines gut microbiome, disease, mental health, medication, and nutrition insights on one platform, simplifying personalized health strategies and improving overall wellness.
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We're fearlessly delving into the newest trends and insights in healthcare optimization.
Scientific confirmation
This paper introduces a distance-based framework, leveraging high-throughput sequencing technology breakthroughs, to extract insights from high-dimensional microbiome data in psychiatric studies. By shifting focus to between-subject attributes, it revolutionizes conventional approaches, enriching generalized linear models and proposing robust semiparametric inference techniques for deciphering the gut-brain axis in mental health research.
This study investigates the correlation between intestinal microflora diversity and clinical parameters in diabetic patients, revealing its pivotal role in diabetes occurrence and progression alongside blood glucose levels. Intestinal flora emerges as a pivotal factor in diabetes occurrence and progression, offering potential diagnostic value alongside traditional clinical indicators.
This study introduces a machine-learning model using faecal microbiome data from over 2,000 individuals across nine diseases, achieving strong accuracy in disease diagnosis. With potential for non-invasive diagnostics and treatment monitoring, it represents a significant advancement in microbiome-based healthcare.
This paper introduces a distance-based framework, leveraging high-throughput sequencing technology breakthroughs, to extract insights from high-dimensional microbiome data in psychiatric studies. By shifting focus to between-subject attributes, it revolutionizes conventional approaches, enriching generalized linear models and proposing robust semiparametric inference techniques for deciphering the gut-brain axis in mental health research.
This study investigates the correlation between intestinal microflora diversity and clinical parameters in diabetic patients, revealing its pivotal role in diabetes occurrence and progression alongside blood glucose levels. Intestinal flora emerges as a pivotal factor in diabetes occurrence and progression, offering potential diagnostic value alongside traditional clinical indicators.
This study introduces a machine-learning model using faecal microbiome data from over 2,000 individuals across nine diseases, achieving strong accuracy in disease diagnosis. With potential for non-invasive diagnostics and treatment monitoring, it represents a significant advancement in microbiome-based healthcare.
OUR JOURNEY
Enhancing Lives, One Data Point at a Time
At the heart of what we do is a simple belief: people matter, and so does the data that helps them thrive. Our innovative data system is designed to simplify complex information into clear, actionable steps. Our work helps health professionals see the full picture, so they can make smart choices for treatments and services.
Our goal is a world where everyone can live their best life.
