Reading the Body’s Signals: AI’s Ultimate Healthcare Opportunity
We are on the cusp of an age of anticipatory medicine, an explosion in our ability to read the body's signals and catch the killers before they do their damage.
We are on the cusp of an age of anticipatory medicine, an explosion in our ability to read the body's signals and catch the killers before they do their damage.
The next healthcare revolution isn't about treating osteoporosis, it's about preserving mobility and healthspan.
Despite the silk masks, oils, and sleepy girl mocktails swirling around social media, one of the greatest causes of non-restorative sleep is rarely mentioned by wellness influencers online: actual sleep disorders.
A few minutes of interaction with a digital tablet and speaking can reveal patterns that once required advanced imaging, years of observation, or were just completely undetectable.
Personalis’s liquid biopsy is part of a growing market for minimal residual disease assays, tests that look for any remaining cancer cells after the initial treatment. Tempus AI has been the commercial partner on this Personalis test since 2023.
If we do not get this right, we may inadvertently cause a new sarcopenia epidemic while congratulating ourselves on solving obesity.
Matching the right patient to the right therapy now requires understanding what’s driving the apnea, not just how often it occurs. Closing that gap means rethinking what sleep apnea testing identifies and where it happens.
Testosterone is not just a “male hormone.” Women need it too. And pretending otherwise has left countless women struggling through midlife while being told everything looks “normal.”
Current AI tools often increase the disruption that radiologists already experience from using non-integrated platforms.
While the Pap identifies the cell changes, the HPV test determines the root cause before those changes even happen. Both tests have saved lives. But they are not interchangeable, and treating them as such puts the patient at risk.
We are taking a look at how health insurers are using AI, defining success, and managing cybersecurity risks. Give us your opinions by completing our brief, anonymous survey.
AI built on transparent, causal reasoning, systems that ground every output in validated biological mechanisms, show the pathway behind each recommendation, and cite their sources is what makes the difference between a tool that erodes clinical trust and one that rebuilds it.
Combined upper and lower GI endoscopy is becoming standard practice across many US healthcare settings, but the quality infrastructure for upper GI has not kept pace with the procedures now being performed on it.
The positive ripple effect of high specimen sensitivity influences the clarity of diagnoses, the timing of treatment and the efficiency of care delivery across systems, while also protecting communities from further disease spread for stronger outbreak control.
When every metric is treated as important, nothing actually stands out. Leaders spend more time interpreting data than acting on it. And in a system as complex as healthcare, delays in decision-making can have real operational and financial consequences.
For most of human history, cellular aging was treated as biologically fixed, an inevitable accumulation of damage with no meaningful pathway to reversal. That assumption is no longer tenable.