Joi + Blokes, a telehealth and personalized healthcare provider, has published a peer-reviewed observational study conducted with Brigham Young University researchers. The research initiative examined the effects of Joi + Blokes' biomarker-informed clinical protocols on specific physiological indicators related to inflammation and metabolic health.
The Joi + Blokes x Brigham Young University investigation analyzed real-world patient data over a twelve-week period, where treatment decisions were guided by laboratory results and clinician evaluation rather than algorithmic recommendations alone. Reported outcomes included notable percentage reductions in markers such as C-reactive protein (a decline of 33 to 46 percent) and homocysteine (a decline of 29 to 37 percent) across participant age groups, with variations in improvements for other markers like ferritin and thyroid antibodies observed between male and female subjects.
Tested Precision Medicine Models
Joi + Blokes Partners with Brigham Young University
Trend Themes
-
Biomarker-guided Health Interventions — The study highlights how tailoring healthcare strategies based on specific biomarkers can significantly enhance metabolic and inflammatory outcomes.
-
Real-world Evidence in Precision Medicine — Utilizing real-world patient data over algorithmic predictions can better shape medical interventions and improve personalized medicine effectiveness.
-
Gender-specific Health Outcomes — Variations in health improvements between male and female subjects suggests opportunities for developing gender-specific treatment plans.
Industry Implications
-
Telehealth — Telehealth platforms like Joi + Blokes demonstrate potential shifts towards more customized patient care using precise data-driven approaches.
-
Personalized Healthcare — The emerging emphasis on patient-specific protocols underlines growing opportunities within the personalized healthcare sector.
-
Biotechnology — The study underscores an increasing reliance on biotechnology advancements for measuring and interpreting physiological biomarkers in medical practice.