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Artificial Intelligence or AI is a big buzzword these days in digital health, and just about any business venture, but what is it? How can it help women achieve better health?
Artificial Intelligence is the science that gives machines a human-like intelligence and the ability to learn and self-improve by the application of algorithms and other cognitive technologies. [1]. Machines with AI excel in processing and remembering large volumes of data. However, they do not replace human problem-solving and decision making. We use AI to help “augment” human intelligence. For example, remembering health symptoms and how they change over time can be difficult for a human. Nutrition supplements have been shown to help mitigate health symptoms, but it can take at least a month to observe the effects. In this case, we use our machine learning algorithm to help the individual create awareness around health symptoms and their response to nutrition therapies. Then the machine learns from their response to help other women with the same health symptoms. The individual makes the final decision on what supplements to choose, but is presented with the data to do so.
Artificial intelligence is becoming an important clinical tool for optimization of personalized female health. Today women can create a personalized digital fingerprint of their menstrual cycle hormone network from a couple of capillary blood samples taken during the cycle. This is possible thanks to such companies as Forth. The company uses combinations of blood analysis, medical expertise and mathematical modeling, to map hormones across her entire menstrual cycle and identify any abnormalities [2].
Artificial Intelligence boasts the potential of reducing US healthcare costs by USD 150 billion in 2026 through supporting proactive health management rather than reactive disease care. This can be achieved through continuous monitoring and tailored early and more effective treatments [3].
As women’s health data becomes more available, the accuracy of Artificial Intelligence increases, and so does the potential to create customizable digital health solutions to cater to the specific needs of each individual. Eventually, AI trained on large datasets will revolutionize treatment plans and drug prescription. For instance, SORA by Syrona Health uses machine learning to analyze user’s data related to endometriosis to provide actionable insights and treatment plans in relation to symptoms progression [4]. Today, medical doctors prescribe a drug based on potential risks and benefits from information provided by patients. In the near future, each patient’s information will be analyzed in relation to multiple data points from millions of different people to predict potential medication reactions and side effects .
Women's nutrition and hormonal health is an important but underserved area of healthcare, particularly when we look beyond pregnancy and lactation. Balancing hormonal health through good nutrition affects women across the entire lifecycle from adolescence to advanced aging.
Research on balancing hormonal health symptoms with nutrition has been limited. Conducting human studies in the clinic is very costly and time consuming. PhenomX seeks to fill this gap using symptoms self-report, non-invasive biomarker testing and machine learning to be of service to women globally. Artificial Intelligence algorithms have demonstrated success with correlating symptoms and biomarkers from electronic medical records (EMRs) with the characterization and prognosis of the disease. At PhenomX we are learning about womens' hormonal health symptoms and what works best to treat them with nutrition. We do this through a machine learning platform with human validation.
Stay tuned for more and we look forward to joining you on your health transformation journey.
