AI Powers New Approach to Diagnosing Cognitive Health in Women
· food
The Self-Tracking Revolution in Cognitive Health
The medical establishment’s slow pace of innovation is particularly evident in cognitive health. For decades, treatments for conditions like Alzheimer’s and ADHD have relied on outdated methods that fail to account for the complex interplay between hormones, emotions, and mental state. Women are disproportionately affected by these conditions, with a 1 in 5 lifetime risk of developing Alzheimer’s – double that of men.
Georgia Witchel’s company, Mantis Biotech, is disrupting this status quo with its AI-powered software product Parva. By allowing users to track their cognitive changes against their own baseline rather than relying on arbitrary population norms, Parva offers a more nuanced and personalized approach to diagnosis and treatment.
What’s truly innovative about Parva isn’t just the technology itself – it’s Witchel’s redefinition of what it means to be “normal”. By throwing out traditional medical algorithms, which were skewed toward male populations for decades, Parva provides a more inclusive and equitable approach to healthcare.
Traditional cognitive care relies on in-person appointments that capture only a single moment in time. This design flaw is particularly problematic for women, whose symptoms are often tied to hormonal fluctuations and emotional states. Medical algorithms can miss subtle changes in mental state that might signal underlying conditions because they rely on population norms rather than individual baselines.
Mantis Biotech’s Parva is part of the growing trend toward digital biomarkers – technologies that use passive signals like keystroke latency and mouse movement to track cognitive health. This field is expected to reach $17.73 billion by 2031, with investors betting on the potential for personalized medicine.
Parva’s nearest rivals focus on a single signal or disease, but Mantis has raised $7.4 million in funding and is straddling three young markets: digital biomarkers, behavioral biometrics, and healthcare digital twins. As the market for digital health continues to grow, it’s clear that Parva is at the forefront of this trend.
Witchel’s pattern-matching AI has the potential to flatten the very people who most need to be seen. By focusing on individual baselines rather than population norms, Parva offers a more nuanced and personalized approach to diagnosis and treatment. The stakes are high: cognitive care runs on a schedule that works against biology itself.
Women’s health advocates have long pointed out the flaws in this system, but Witchel’s work offers a bold new solution. By reframing our understanding of what it means to be “normal”, Parva is poised to revolutionize the way we approach cognitive health. As Parva gains traction and Mantis continues to innovate, it’s clear that the self-tracking revolution has arrived in healthcare – and with Witchel at its helm, this movement will change the face of medicine forever.
Reader Views
- TKThe Kitchen Desk · editorial
While Parva's AI-powered approach to diagnosing cognitive health in women is certainly a step forward, it's essential to acknowledge that digital biomarkers like keystroke latency and mouse movement may not capture the nuances of mental state for individuals with physical disabilities or motor impairments. A more comprehensive solution would integrate multiple data sources, including wearables, physiological signals, and subjective self-reporting, to create a richer picture of cognitive health.
- CDChef Dani T. · line cook
The real game-changer here is that Parva's AI doesn't just rely on user input - it also learns from users who've opted-in to share their data. That means it can start spotting patterns and anomalies that might not be immediately apparent, even to the user themselves. But here's the thing: with great power comes great responsibility. We need more transparency around how this data is being used and stored, or we risk perpetuating a new kind of medical paternalism where algorithms call the shots without our input.
- PMPat M. · home cook
It's about time someone tackled the inherent sexism in traditional medical algorithms. I'm impressed by Parva's AI-powered approach, but let's not forget that access to such technology is still a luxury many women can't afford. The article glosses over the fact that this kind of self-tracking requires a certain level of digital literacy and economic stability – what about women living in rural areas or with limited internet access? How will Parva reach them and ensure equitable access to its life-changing benefits?