EVJ podcast highlights smartphone gait tech and racehorse biomarkers

CURRENT FULL VERSION: Equine Veterinary Journal’s May 2026 “In Conversation” podcast featured two papers that reflect where equine diagnostics may be heading next: smartphone-based gait analysis that can be used in the field, and blood-based molecular profiling aimed at tracking training adaptation and overload in racehorses. The episode centered on Karsten Key’s study validating a handheld markerless gait-analysis tool and Olga Witkowska-Piłaszewicz’s discussion of exercise-specific plasma proteomic signatures, giving listeners both a technology story and a biomarker story in one package. A subsequent EVJ podcast in July 2026 broadened that same theme by focusing on another data-intensive sports-medicine problem: using standing CT–based virtual mechanical testing to assess risk of third metacarpal condylar stress fracture in elite racing Thoroughbreds. (irepod.com)

The podcast format matters here because EVJ has increasingly used it to translate research for busy clinicians, and these papers fit squarely into that mission. Objective gait analysis has been moving steadily from specialized labs toward portable and smartphone-enabled tools, while equine exercise physiology has been looking beyond heart rate, lactate, and routine chemistry for markers that better capture stress, recovery, and adaptation. The July episode added a parallel orthopedic-prevention angle, with Peter Muir, Soroush Irandoust, and Nicola Brown discussing how standing CT, already being used in some racing settings, may be paired with objective mechanical modeling to improve screening for catastrophic fetlock injury risk. The common thread is a shift toward more data-rich, field-relevant monitoring of equine athletes. (beva.onlinelibrary.wiley.com)

In Key’s paper, the handheld smartphone-based RealHorse system was compared with a Qualisys 3D multicamera optical motion-capture system, a standard reference method. The study included 59 horses recorded trotting on a straight line and 24 lunged on a circle. Using computer vision to detect anatomical keypoints and estimate a dynamic groundline, the tool measured vertical displacement signals at the eye, withers, back, and croup. Reported pooled stride-level mean absolute error was 3.8 mm on a straight line and 5.5 mm on a circle, with lower trial-level errors, supporting the tool’s accuracy under the tested conditions. The authors also positioned the findings alongside earlier field-condition work on reliability and agreement, suggesting the technology is maturing, even if it remains one component of a fuller lameness workup. (beva.onlinelibrary.wiley.com)

Witkowska-Piłaszewicz’s featured paper, published under first author Grzędzicka, took a different approach to performance monitoring. Researchers followed 49 Arabian and Thoroughbred racehorses in standardized high-intensity training and racing, analyzing 314 plasma samples with tandem mass tag quantitative proteomics and Orbitrap mass spectrometry. They found that early training was associated with broad inflammatory, antioxidant, and metabolic responses, mid-season conditioning showed a more refined remodeling and redox profile, and racing triggered the strongest molecular response, with more than 100 up-regulated proteins tied to energy metabolism, oxidative defense, and cytoskeletal adaptation. Candidate biomarkers included S100A8, S100A9, thymosin β4, prothymosin-α, PGK1, G6PD, SOD1, and catalase, but the authors were explicit that these markers still require validation before clinical use. (beva.onlinelibrary.wiley.com)

The July 2026 podcast added useful context on how another advanced diagnostic approach is being positioned in practice. Muir and colleagues discussed chondylar stress fracture of the third metacarpal bone as a common catastrophic injury in racing Thoroughbreds and described standing CT as a highly sensitive way to identify relevant lesions. Their paper focused on an objective method for interpreting routine clinical CT scans through virtual mechanical testing, with the goal of improving risk assessment rather than simply describing imaging abnormalities. In the discussion, Muir noted that Racing Victoria in Australia has already incorporated CT screening into evaluation of Melbourne Cup finalists, highlighting that this is no longer a purely experimental concept in elite racing environments. The emphasis was on prevention screening and on making CT findings more actionable for decision-making around fracture risk.

Direct outside commentary on these specific papers was limited in the public record, but the surrounding literature supports the significance of all three directions. University of Copenhagen research listings describe the gait paper as open-access validation work and also point to a related 2026 EVJ study on reliability, agreement, and variability under field conditions. Broader equine exercise biomarker work has emphasized that post-exercise recovery and fatigue are complex, multi-system processes that likely need better biologic markers than current routine tools provide. And the standing CT work sits within a long-running effort in racehorse orthopedics to move from lesion detection toward earlier, more objective prediction of catastrophic injury risk. Taken together, that suggests these papers are landing in active, clinically relevant research areas rather than isolated academic niches. (researchprofiles.ku.dk)

Why it matters: For equine veterinarians, the practical takeaway is not that any of these tools are ready to replace standard clinical assessment, but that they could eventually sharpen it. Smartphone gait analysis could lower the barrier to objective locomotion measurement in ambulatory and first-opinion settings, especially for repeat monitoring, prepurchase concerns, rehabilitation follow-up, or communication with trainers and pet parents. Proteomic monitoring is further from practice adoption, but it points toward a future in which veterinarians may be able to detect maladaptation or excessive training load earlier, potentially improving welfare, performance management, and return-to-work decisions. The standing CT and virtual mechanical testing work speaks to a different but equally important goal: better stratification of catastrophic fetlock fracture risk in racehorses using imaging data that some referral and racing systems are already collecting. All three developments fit ongoing industry pressure to make equine sports medicine more evidence-based and more defensible. (beva.onlinelibrary.wiley.com)

There are also important caveats. The gait study validated one proprietary system against a reference platform under defined conditions, which is not the same as proving universal performance across all breeds, handlers, environments, or lameness presentations. The proteomics study was explicitly a discovery-phase project, and the authors noted breed imbalance and incomplete follow-up sampling as limitations. The CT-based fracture-risk work, as described in the podcast, is also part of an evolving prevention framework: standing CT may be sensitive, but the harder clinical question is how to interpret findings consistently enough to guide management without overcalling risk. In other words, all three lines of work are promising, but they still sit in the validation-and-refinement stage rather than the standard-of-care stage. (beva.onlinelibrary.wiley.com)

What to watch: The next milestones are likely to be broader field validation for markerless gait tools, plus targeted verification studies, such as PRM or ELISA-based assays, for the proteomic candidates. For the orthopedic side, watch for more published data on standing CT–based virtual mechanical testing, how it performs in prospective screening programs, and whether it improves decision support in high-risk racing populations. If those steps are successful, veterinary professionals could see these research lines move closer to usable decision-support tools over the next few years. (researchprofiles.ku.dk)