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

Lucas and Luna explore the emerging field of AI-powered seizure prediction using consumer wearables. They focus on the work of Boston-based startup Seer Medical and its predictive algorithm that analyzes heart rate variability, electrodermal activity, and accelerometer data from devices like the Apple Watch and Fitbit. The episode details a 2025 study showing 85% sensitivity in forecasting seizures 30 minutes before onset, the challenges of false alarms, and how the technology is moving from clinical validation to consumer availability. Lucas explains the machine learning model's training on over 10,000 hours of labeled data, while Luna discusses the regulatory path and patient privacy concerns. A balanced look at a technology that could transform epilepsy management but still faces hurdles in accuracy and adoption.

#SeerMedical #Epilepsy #SeizurePrediction #Wearables #AppleWatch #Fitbit #MachineLearning #HealthcareAI #DigitalHealth #HeartRateVariability #ElectrodermalActivity #ClinicalValidation #FDA #PatientPrivacy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #HealthTech

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In this episode of The Digital Health Podcast, Lucas and Luna dive into the world of wearable sweat sensors — a technology that promises continuous, non-invasive monitoring of biomarkers like glucose, cortisol, and electrolytes. They break down the science behind the sensors, the key players pushing the field forward (including startups like Persperion Health and EnLiSense), and the regulatory hurdles ahead. Lucas explains how sweat analysis could revolutionize chronic disease management, from diabetes to dehydration in athletes, while Luna challenges the accuracy and privacy concerns. With specific data points on sensor accuracy and clinical trial results, this episode offers a grounded look at a technology that may soon join your smartwatch's health suite.

#SweatSensors #WearableHealthTech #DigitalHealth #ContinuousMonitoring #Biomarkers #PersperionHealth #EnLiSense #GlucoseMonitoring #DehydrationDetection #Cortisol #ChronicDisease #AIinHealth #NonInvasive #HealthTechStartups #Business #Technology #FexingoBusiness #BusinessPodcast

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Have you ever taken an ECG on your Apple Watch and wondered what it really means? In this episode, Lucas and Luna explore how hospitals are using AI to find hidden heart conditions—like atrial fibrillation and long QT syndrome—from consumer ECG data. Lucas walks through a study from Mount Sinai's digital health lab, where an AI model trained on 2.9 million watch ECGs flagged risks that standard alerts would miss. Luna asks about false positives and the burden on doctors. The hosts also touch on where this technology is headed: from sleep apnea detection to catching electrolyte imbalances before they become emergencies. If you've ever worn a smartwatch, this episode will change how you look at that health app. Recorded July 11, 2026.

#AIHeartHealth #AppleWatchECG #WearableAI #DigitalHealth #ConsumerECG #MountSinai #AtrialFibrillation #LongQTSyndrome #MachineLearningCardiology #HealthTech #PreventiveCare #VirtualTrials #SmartwatchDiagnostics #FexingoBusiness #BusinessPodcast #Technology #BusinessAndTechnology #HealthInnovation

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On this episode of The Digital Health Podcast, Lucas and Luna explore how artificial intelligence is turning a simple breath sample into a diagnostic tool for lung disease. They focus on a specific case: a startup called BreathDX that has trained a machine learning model on over 50,000 breath volatile organic compound profiles to detect early-stage chronic obstructive pulmonary disease (COPD) and asthma with reported sensitivity above 90 percent. The conversation covers the science behind volatile organic compounds, how the device works as a handheld attachment for smartphones, the regulatory pathway through the FDA's De Novo process, and why this approach could drastically reduce the cost and invasiveness of pulmonary function testing. They also address limitations, including variability in breath collection and the challenge of training models across diverse populations. This is a deep dive into one of the most promising non-invasive diagnostic frontiers in digital health.

#BreathDX #ArtificialIntelligence #LungDisease #COPD #Asthma #VolatileOrganicCompounds #DigitalDiagnostics #NonInvasive #SmartphoneHealth #FDAClearance #PulmonaryFunction #MachineLearning #DigitalHealth #HealthTech #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TheDigitalHealthPodcast

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Lucas and Luna examine the quiet revolution in radiology reporting: AI that drafts structured medical reports from imaging data, not just detecting anomalies. They unpack how one health system reduced radiologist report turnaround from 24 hours to under 20 minutes using a natural language model trained on 10 million de-identified reports. The hosts discuss accuracy trade-offs — the model catches pulmonary nodules with 94 percent sensitivity but still flags 8 percent false positives for human review — and look at the economic ripple effects: radiology groups renegotiating reading contracts, the American College of Radiology updating its coding guidelines, and the surprising stat that 70 percent of radiologists now prefer AI-assisted reporting over traditional dictation. Luna challenges whether this deskills junior radiologists; Lucas argues it frees them for higher-value diagnostic reasoning. A focused look at how AI is changing what a radiologist actually does all day.

#AI #Radiology #MedicalImaging #NaturalLanguageProcessing #ClinicalAI #HealthTech #DiagnosticAI #RadiologyReports #StructureReporting #PACS #EHR #MachineLearning #HealthIT #MedicalErrorReduction #Business #Technology #FexingoBusiness #BusinessPodcast

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Hearing aids are no longer just amplifiers. In this episode, Lucas and Luna explore how companies like Sonova and Starkey are embedding AI, fall detection, and even heart rate monitoring into hearing devices. They discuss the 2024 FDA rule that created an over-the-counter hearing aid category, how sensor fusion turns ear-level data into health insights, and why audiologists are both excited and wary. Specific numbers include the 1.5 billion people with hearing loss worldwide and the projected $12 billion market for smart hearing aids by 2028.

#HearingAids #AI #DigitalHealth #Sonova #Starkey #FallDetection #HeartRateMonitoring #OTC #FDA #SensorFusion #Wearables #HearingLoss #Audiology #HealthTech #Business #Technology #FexingoBusiness #BusinessPodcast

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Episode 101 of The Digital Health Podcast explores the emerging technology of digital twins in healthcare. Lucas and Luna dive into how these virtual models of individual patients are being used to predict disease onset, personalise treatment plans, and reduce clinical trial costs. With real-world examples from a recent study at a major UK hospital where digital twins helped predict sepsis six hours earlier than standard protocols, and a look at startups like Qbio and Twin Health, this episode breaks down what's real today and what's coming. The hosts discuss the data requirements, privacy concerns, and the surprising regulatory path that could make digital twins a standard part of preventive medicine within five years. Listeners will learn one concrete way this technology could change their next doctor's visit.

#DigitalTwin #PreventiveHealth #AIinHealthcare #PredictiveMedicine #SepsisDetection #Qbio #TwinHealth #NHS #HealthTech #PersonalizedMedicine #ClinicalTrials #VirtualPatient #DataPrivacy #HealthcareAI #DigitalHealthPodcast #BusinessPodcast #FexingoBusiness #HealthInnovation

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In this episode of The Digital Health Podcast, Lucas and Luna explore the emerging field of digital twins in healthcare — personalized AI simulations of your body that can predict disease, test treatments, and guide preventive care. They focus on a specific case: how researchers at the University of Nottingham are using digital twins to model metabolic syndrome risk for individual patients, combining wearable data, genetic markers, and electronic health records to simulate health trajectories five years into the future. Lucas explains how these simulations work, the data required to build them, and why they represent a shift from reactive to predictive medicine. Luna asks about accuracy, privacy, and whether this is just an expensive experiment or a real clinical tool. The episode ties the concept to the show's broader theme of AI-driven personalization, offering listeners a concrete understanding of how virtual replicas of their bodies could soon help doctors make proactive decisions — without waiting for symptoms to appear.

#DigitalTwin #PreventiveHealth #AIinHealthcare #PredictiveMedicine #MetabolicSyndrome #WearableData #Genomics #UniversityOfNottingham #HealthTech #PersonalizedMedicine #VirtualSimulation #ClinicalDecisionSupport #HealthData #DigitalHealth #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Fexingo

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In this episode, Lucas and Luna explore the emerging field of vocal biomarker analysis for mental health. They dive into how AI models can detect depression, anxiety, and even PTSD from subtle changes in speech patterns like pitch, tempo, and tone. The discussion centers on real-world studies, including a 2025 trial from the University of Vermont that achieved 85% accuracy in screening for major depressive disorder using just 30 seconds of voice recording. Lucas breaks down the technical components—acoustic features like jitter, shimmer, and harmonics-to-noise ratio—while Luna questions the ethical implications of passive voice monitoring. They also touch on how companies like Sonde Health and K Health are commercializing the technology for primary care and wellness apps. The episode concludes with a forward-looking question: will a yearly 'voice checkup' become as routine as a blood pressure reading?

#MentalHealth #VoiceBiomarkers #AIInHealthcare #DigitalHealth #DepressionScreening #SpeechAnalysis #VocalBiomarkers #AcousticAnalysis #SondeHealth #KHealth #UniversityOfVermont #PTSDDetection #AnxietyScreening #HealthTech #MachineLearning #Business #FexingoBusiness #BusinessPodcast

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Lucas and Luna explore the latest generation of consumer wearables that use AI and optical sensors to estimate blood pressure without a cuff. They focus on the technical challenge—how photoplethysmography and pulse transit time work—and the regulatory hurdles from the FDA. Specific numbers include the 1.28 billion people worldwide with hypertension, the 46 percent who are undiagnosed, and the 5 mmHg accuracy threshold required for clearance. The hosts discuss why Samsung's newest Galaxy Watch and a start-up called Aktiia are taking different approaches to calibration and validation. The episode does not predict when cuffless monitoring will be approved for diagnosis, but explains why the technology is closer than most people think.

#AI #BloodPressure #Smartwatch #WearableTech #Hypertension #DigitalHealth #HealthTech #SamsungGalaxyWatch #Aktiia #Photoplethysmography #FDA #CufflessMonitoring #PulseTransitTime #Business #Technology #FexingoBusiness #BusinessPodcast #TheDigitalHealthPodcast

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