] starting to allow businesses in this space to do is pair what has before been kind of stagnant, unusable data and drive greater understanding around predictability and outcomes that will allow us to move towards a much more preventative mindset in terms of how we get in front of folks’ health and well-being,” said Taryn Jones Laeben, president and founder of IRL Ventures, a go-to-market think tank.
Computer aided detection has been a key technology within breast cancer diagnosis, too. In fact, the computer assisted mammogram patented product was approved by the FDA in 1998, according to Dr. Constance Lehman, an investigator at the Breast Cancer Research Foundation.“What it allows us to do is take advantage of the huge amount of data we are now collecting that we haven’t been able to process,” she said, referring to genomics and proteomics as two key areas they are looking at.
For example, an AI-driven software might recommend immediate family building when in reality, egg freezing is best based on a patient’s desired timeline. While many of these technologies provide valid diagnosis, they are not widely accessible. Javaid identifies two key issues: funding and time. There is an overwhelming lack of research funding within women’s health care — excluding oncology less than 1 percent of research funding goes to women’s health care.
Natural Cycles has also targeted women’s health with its FDA-cleared birth control app, which recently closed a $7 million funding round led by Samsung Ventures. By tracking a user’s daily temperature combined with the brand’s machine learning and equation-based algorithm, Natural Cycles can detect fertility levels.
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