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How New Digital Biomarkers Could Finally End Trial-and-Error Mental Health Care

The project, part of a broader effort called The Lucida Project, brings together researchers from the Center for Healthy Minds and the Wisconsin Institute for Discovery.

How New Digital Biomarkers Could Finally End Trial-and-Error Mental Health Care

For most of us, finding the right mental health support has felt like wandering through fog. You try a therapist, a medication, an app — and then wait weeks to learn whether any of it is actually helping. According to the Center for Healthy Minds at the University of Wisconsin–Madison, a new study backed by up to $6.6 million from ARPA-H is set to change that exhausting cycle, using the data our phones and bodies already collect to see whether an intervention is working within days, or even hours.

Listening to the signals we already carry

They aren't inventing new wearables or asking us to learn anything complicated — they're reading what is already there. Smartphone screenshots, typing rhythms, location patterns, heart rate variability from a wristband, sleep data, weekly video check-ins, and deeper biological layers like whole-genome sequences, gut microbiome readings, and inflammation markers all feed into the analysis.

The team plans to test 1,500 participants as they try the Healthy Minds Program — a free, evidence-based meditation app built on the Center's framework — alongside a brain-games app and whatever care someone was already receiving. Researchers will then follow wellbeing shifts for six months, asking a quietly radical question: can we see real change in one to three days, instead of waiting for a monthly questionnaire to tell us where we stand?

"For years we've measured depression by asking people how they feel on a questionnaire," says Dr. Ross Jacobucci, lead scientist on the new study cohort and research associate professor at the Center for Healthy Minds. "That tells us something, but it's slow and subjective. It can't see change as it's happening. This project asks whether the signals already coming off someone's phone and wrist can give us an objective, moment-to-moment readout of mental health."

Why this matters when you're the one waiting

If you have ever sat in a therapist's office wondering whether this — finally — was the right fit, you already understand the cost of that waiting. Traditional assessment leans on subjective self-reports collected every few weeks. By then, someone who is not responding may have already slipped backward, while someone who is quietly improving may still feel stuck inside a story that says nothing is working.

This is the emotional paradox at the heart of mental health care: the very tools meant to track our progress can miss the progress itself. The CHM team wants to catch the early shimmer of change — and the early warning signs of harm — before weeks of fragile hope turn into quiet resignation. WID Director Dr. Jo Handelsman leads the overall study, with core faculty Dr. Simon Goldberg and Dr. Matt Hirshberg, and affiliated faculty Dr. Brooke Ammerman collaborating. The ARPA-H funded cohort begins this fall.

A small anchor while the science does its work

We cannot speed up the research, but we can practice something the researchers are also learning to value — paying attention to the small, honest shifts that happen inside a single day. Try this micro-habit tonight. Set a phone reminder for the same time each evening, a quiet chime you label "check-in." When it sounds, give yourself thirty seconds to rate your mood on a simple 1–10 scale and write one sentence about what you noticed in your body during the day. Not what you thought — what you felt.

Over a week, you will begin to see patterns the old monthly questionnaire could never catch. And you will be rehearsing the very skill this new science is trying to give us: a steadier, more honest relationship with how we are actually doing, one moment at a time.