ReproHealth is a data driven engine that predicts reproductive health and fertility. Leveraging the latest in Machine Learning, Algorithms and Cloud technologies, ReproHealth AI is a pioneer in predictive reproductive health outcomes.
ReproHealthAI is a data driven engine that predicts reproductive health and fertility. Leveraging the latest in Machine Learning, Algorithms and Cloud technologies, ReproHealth AI is a pioneer in predictive reproductive health outcomes. ReproHealth AI is a collaboration between Itakane Health and Wits Health Consortium and ReproHealthAI. ReproHealthAI runs detailed analytics on its underlying datasets to identify patterns, trends and to predict reproductive health outcomes based on interventions.
The objective is to provide insights around medical procedures, medicines, interventions, treatment options and related reproductive health outcomes by using a mass market data absorption approach via the easy to use, interactive platform. The outcomes will provide insights into the effectiveness of doctor recommended interventions, such as the impact of using results on IVF outcomes, reducing emotional stress or changes in diet just before undergoing Fertility treatments, etc.
Infertility is the inability for a couple to conceive after trying for a period of one year. There are number of factors presenting in both female and male for this. A third of infertility case issues are from males, and like a third from females and the last third is shared between male and females. Age is a big contributor to infertility for both male and females.
Lifestyle Leading a life of consuming substances like smoking, drinking, recreational drugs and lack of exercise can increase the difficulty to conceive in both males and females.
Weight When it comes to weight, avoid the extremes, low weight or high weight they both present health risks if you are planning to conceive.
Genetics For males it could be a low sperm count. Auto immune diseases (anti bodies attacking the sperm).
History of STD’s and Chlamydia in women can lead to infertility.
Our research-based methodology will focus on particular groups of people including historically excluded data sets. Data insights will be shared with all partners on the platform to study, evaluate and provide further input.
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