EVJ podcast spotlights smartphone gait analysis and equine biomarkers

Equine Veterinary Journal’s latest “In Conversation” podcast highlights two studies that capture where equine diagnostics are heading: toward more objective, data-rich tools that can be used earlier and more often. In the May 2026 episode, Karsten Key discusses a validation study of a handheld smartphone, markerless gait-analysis system, and Olga Witkowska-Piłaszewicz discusses a plasma proteomics study aimed at identifying biomarkers of training adaptation and peak load in racehorses. (evj.podbean.com)

The podcast itself is less a breaking regulatory or commercial announcement than a research signal. EVJ describes Key’s paper as a validation of the RealHorse tool using an estimated groundline in horses, and Witkowska-Piłaszewicz’s paper as an investigation of exercise-specific plasma proteomic signatures in racehorses. Taken together, they reflect a broader trend in equine sports medicine: moving beyond subjective visual assessment and conventional bloodwork toward scalable digital phenotyping and molecular monitoring. That trend is also showing up elsewhere in the sector, with multiple companies and researchers pushing smartphone gait analysis and biomarker-based performance tracking. (evj.podbean.com)

Key details from the gait paper suggest the technology is moving closer to clinical usefulness. According to the University of Copenhagen research portal, the study compared the smartphone-based RealHorse algorithm against a gold-standard three-dimensional optical motion capture system. It included 59 horses trotting in a straight line and 24 horses on a circle. On the straight line, pooled stride-level mean absolute error for key vertical displacement measures was 3.8 mm; on the circle, it rose to 5.5 mm. Trial-level errors were lower, ranging from 1.1 to 1.4 mm on the straight and 1.8 to 3.3 mm on the circle, with the back keypoint showing the lowest errors overall. The authors concluded the system measured vertical displacement with high accuracy and precision, supporting its use for equine gait analysis. (researchprofiles.ku.dk)

Witkowska-Piłaszewicz’s proteomics paper is earlier-stage clinically, but potentially just as important. A publicly accessible abstract and manuscript copy indicate the team followed 49 Arabian and Thoroughbred racehorses through initial training, mid-season conditioning, and race-phase work. They collected plasma at rest, immediately post-exercise, and after recovery, generating 314 samples for tandem mass tag quantitative proteomics and Orbitrap mass spectrometry. The study identified distinct protein signatures linked to training status, oxidative stress, inflammation, and metabolic remodeling, with the goal of finding candidate biomarkers for both adaptation and peak physiological strain. (researchgate.net)

Industry context helps explain why these papers matter now. RealHorse says its platform is designed to deliver AI-based gait analysis from a smartphone, while Karsten Key has stated publicly that the app moved from prototype use into a production launch in autumn 2024. That doesn’t prove routine clinical adoption, but it does suggest the validation work is tied to a live commercial ecosystem rather than a purely academic prototype. On the biomarker side, broader veterinary commentary has emphasized growing interest in serum amyloid A, proteomics, transcriptomics, and metabolomics as tools for earlier detection of inflammation, performance stress, and even illicit manipulation in horses. (realhorse.com)

Why it matters: For veterinary professionals, the bigger story is not just two papers, but the convergence of digital and molecular diagnostics in equine practice. Smartphone gait analysis could make objective movement assessment more accessible in ambulatory settings, prepurchase workups, follow-up exams, and longitudinal monitoring, especially where force plates or motion-capture systems aren’t practical. Proteomic biomarker work, meanwhile, points toward a future in which performance horses may be monitored with more nuance than standard chemistry panels or a handful of inflammatory markers can provide. The caution is that validation against gold standards is only one step; clinicians will still need evidence on repeatability in field conditions, usefulness across breeds and surfaces, and whether these tools change case management or outcomes. (researchprofiles.ku.dk)

There’s also a relevance beyond horses. Witkowska-Piłaszewicz’s background includes equine and companion animal medicine with a focus on immunology and biomarkers, and the biomarker questions raised here, around inflammation, stress response, and monitoring physiologic load, are part of a much wider veterinary diagnostics movement. For mixed or referral practices, that makes the podcast a useful snapshot of where translational thinking is heading, even if the immediate applications are squarely in equine sports medicine. (researchgate.net)

What to watch: The next meaningful milestone will be follow-on studies that test whether these approaches hold up in routine clinical environments and whether they can move from promising measurement tools to decision-support tools that veterinarians and pet parents can trust in day-to-day care. (researchprofiles.ku.dk)