The Digital Health Podcast with Fexingo: Wearables, Diagnostics, and Health Software

Lucas and Luna explore the emerging field of breath-based diagnostics, focusing on how companies like Owlstone Medical are developing portable 'breathalyzers' that detect volatile organic compounds linked to lung cancer, asthma, and even infectious diseases. They discuss how this non-invasive technology could transform screening in primary care, the regulatory hurdles it faces, and the specific bi...

In this episode, Lucas and Luna explore how artificial intelligence is analyzing speech patterns to detect mental health conditions like depression, anxiety, and PTSD. They discuss a landmark study from the University of Vermont that achieved 85% accuracy in identifying depression from voice recordings alone. The conversation covers how AI models can detect subtle acoustic biomarkers—pitch, tempo,...

In this episode of The Digital Health Podcast, Lucas and Luna explore how Apple is turning AirPods Pro into a clinical-grade hearing health platform. They break down the specific hardware and software features — from the H2 chip's real-time audiogram to adaptive transparency — that could make over-the-counter hearing aids mainstream. They discuss what this means for the $10 billion hearing aid ind...

Lucas and Luna explore how artificial intelligence is detecting Alzheimer's disease from routine brain scans and speech patterns years before clinical symptoms emerge. They dive into a specific study from Massachusetts General Hospital where an AI model analyzed over 2,000 PET scans and predicted Alzheimer's onset with 92% accuracy an average of six years before diagnosis. The conversation covers...

Lucas and Luna explore how AI is combining data from wearables, continuous glucose monitors, and sleep trackers to create a personalized health coach that learns your patterns. They focus on the case of a Stanford spinout called Ladder Health, which has trained a model on 50,000 patient-years of continuous sensor data. The episode drills into how the system identifies pre-diabetic risk weeks befor...

Lucas and Luna explore how AI-powered 3D printing is transforming prosthetics from mass-produced generic limbs to custom-designed devices made in days, not weeks. They dive into the case of Unlimited Tomorrow, a startup using body scans and generative design to create affordable, personalized prosthetics for amputees. The hosts discuss the technology behind the workflow, the economics of on-demand...

In this episode, Lucas and Luna explore how artificial intelligence is transforming sepsis prediction in hospitals. They dive into the case of the Dutch algorithm that spots sepsis hours before doctors, the Epic Sepsis Model controversy, and the trade-offs between sensitivity and false alarms. Specific numbers: 350,000 sepsis deaths per year in the US, 80% of sepsis patients misdiagnosed initially...

In this episode of The Digital Health Podcast with Fexingo, Lucas and Luna explore how AI is transforming insulin dosing for people with diabetes. They break down the real-world impact of automated insulin delivery systems — often called artificial pancreases — and focus on a landmark clinical trial published in the New England Journal of Medicine that showed an AI-driven algorithm reduced dangero...

In this episode of The Digital Health Podcast, Lucas and Luna explore how artificial intelligence is transforming radiology workflow, focusing on the real-world impact at Massachusetts General Hospital. They discuss a 2024 study that found AI-assisted reading reduced radiologist burnout scores by 18% and cut report turnaround time by 26% without increasing error rates. The conversation covers how...

Lucas and Luna explore how machine learning models are analyzing wearable data — heart rate variability, sleep patterns, activity — to predict cardiovascular events days in advance. They focus on a study from Cedars-Sinai that trained an AI on 5 million hours of smartwatch data, achieving 80% accuracy in predicting sudden cardiac arrest. The hosts discuss the implications for preventive care, data...

In this episode, Lucas and Luna explore how artificial intelligence is turning smartphone cameras into dermatological screening tools. They focus on a specific case: a 2025 study published in The Lancet Digital Health, where an AI model trained on over 100,000 dermoscopic images achieved 95.3 percent sensitivity in detecting malignant melanoma, compared to 88.2 percent for board-certified dermatol...

Sleep tracking has moved beyond counting hours. In this episode, Lucas and Luna explore how AI-powered wearables now decode sleep stages—REM, light, deep—with accuracy rivaling polysomnography. They examine a 2025 Stanford study comparing the Oura Ring, Apple Watch, and a new EEG headband against clinical sleep labs. The data shows consumer devices hit 88-92% accuracy for detecting sleep vs. wake,...

In Episode 67 of The Digital Health Podcast, Lucas and Luna explore how artificial intelligence is analyzing vocal biomarkers to screen for depression and mental health conditions. They focus on the work of companies like Kintsugi and Sonde Health, which use voice recordings to detect subtle changes in pitch, tone, and rhythm that correlate with depression. Lucas explains the science behind vocal...

A single selfie could flag a rare genetic condition years before symptoms appear. Lucas and Luna explore how computer vision models are being trained to detect subtle facial markers of diseases like DiGeorge syndrome and Noonan syndrome. They look at the work of companies like FDNA and its Face2Gene platform, which has analyzed over 500,000 facial images to help clinicians narrow down diagnoses. T...

Clinical trial enrollment is notoriously slow — 80 percent of trials fail to meet enrollment targets on time, and patients often wait months to find out if they qualify. In this episode, Lucas and Luna look at how AI-powered matching platforms are compressing that timeline from months to days. They examine the case of Triall, a startup using natural language processing to scan electronic health re...

In this episode of The Digital Health Podcast, Lucas and Luna explore how wearable devices and remote monitoring tools are reshaping clinical trial design. They focus on a specific case: the use of Apple Watch, Fitbit, and continuous glucose monitors by a mid-size biotech firm to reduce trial costs by 30% and improve patient retention. Lucas explains how the FDA's 2023 guidance on digital health t...

In this episode, Lucas and Luna explore how artificial intelligence is transforming mental health therapy apps from generic chatbots into personalized treatment tools. They examine the case of Woebot Health, which uses cognitive behavioral therapy frameworks combined with large language models to deliver tailored interventions. The discussion covers how these apps analyze user input to adapt respo...

Pharmacies aren't just for picking up prescriptions anymore. CVS, Walgreens, and Rite Aid are remaking themselves as digital health hubs — offering telehealth visits, chronic disease monitoring via apps, and even wearable device sales. In this episode, Lucas and Luna dig into how the biggest retail pharmacy chains are using software and partnerships to capture a bigger share of the healthcare doll...

Lucas and Luna explore how retail pharmacy chains like CVS and Walgreens are transforming primary care through in-store clinics and virtual health services. They discuss the economics behind MinuteClinic and VillageMD, the impact on traditional doctor visits, and whether this model improves access or just shifts costs. With 10,000 retail clinic locations expected by 2027, they break down what this...

Episode 60 of The Digital Health Podcast explores how mRNA technology is being repurposed from COVID-19 vaccines to create personalized cancer immunotherapies. Lucas and Luna break down the science behind neoantigen prediction, the case of Moderna and Merck's melanoma trial showing 44% reduction in recurrence risk, and the logistical hurdles of manufacturing a custom vaccine for each patient withi...

Antibiotic resistance is one of the most pressing global health threats, and digital health tools are emerging as a critical line of defense. In this episode, Lucas and Luna explore how AI-driven diagnostic platforms are helping clinicians prescribe antibiotics more precisely, reducing the spread of superbugs. They dive into a specific case: a machine learning algorithm developed at a UK hospital...

In this episode, Lucas and Luna explore how smart inhalers are transforming asthma care by connecting patients and doctors with real-time data. They discuss how companies like Propeller Health and Teva are embedding sensors into inhalers to track medication usage, detect triggers, and reduce emergency visits. The hosts examine a clinical study showing a 50% reduction in asthma-related hospitalizat...

Sepsis kills 11 million people a year globally, often because early symptoms look like the flu. But a new wave of hospital AI systems—trained on continuous vital-sign streams from wearable sensors—is catching it three to six hours before traditional screening tools. In this episode, we dive into the specific algorithms running at Johns Hopkins and the UK's NHS, how they combine heart rate variabil...

Continuous glucose monitors were once the exclusive domain of the insulin-dependent diabetic. But in 2026, a wave of consumer-facing CGM companies is marketing them to biohackers, gym-goers, and the simply curious. In this episode, Lucas and Luna look at the numbers behind the shift — from clinical utility to lifestyle gadget. They break down the promise of metabolic insight, the skepticism from t...

In this episode of The Digital Health Podcast, Lucas and Luna explore how artificial intelligence is transforming microbiome analysis. They focus on a specific startup, Viome, which uses RNA sequencing and AI to provide personalized dietary recommendations from a single stool sample. The discussion covers the technology behind metatranscriptomics, how it differs from traditional DNA sequencing, an...