From February 10–13, 2026, healthcare innovators from across the world will gather at WHX Labs Dubai, held at the Dubai World Trade Centre. At Booth S1.D58, Ozelle will spotlight how AI-powered Complete Blood Morphology (CBM) and all-in-one diagnostics are reshaping everyday clinical practice, especially in decentralized and high-demand settings.

A New Standard for Complete Blood Morphology

Under the theme “AI × CBM: The Next Generation of Complete Blood Morphology,” Ozelle will position its latest system as a bridge between lab-grade hematology and real-world workflow needs. Instead of relying solely on numerical CBC values, the platform will combine high-resolution blood cell imaging with real-time AI algorithms that can recognize and classify multiple cell types—for example NST, NSG, ALY, and RET—from just a single drop of blood. That means clinicians will be able to move closer to true morphological insight at the point of testing, supporting earlier detection of abnormalities and more confident decision-making, without sending every complex case back to central labs.

On the show floor, the CBM capability will be presented not as a niche add-on, but as a core diagnostic engine. Visitors will see real patient-like samples translated into both visual cell images and structured AI-interpreted output, illustrating how AI can turn what used to be microscope-only expertise into standardized, scalable information. For many lab managers and clinicians, the most striking moment will come when they realize that morphology, historically a manual bottleneck, can now be integrated into a six-minute, automated workflow inside a compact analyzer.

All‑In‑One Testing for Real‑World Scenarios

Beyond CBM, a key talking point at Booth S1.D58 is Ozelle’s all‑in‑one approach: hematology, biochemistry, and immunoassay in a single, maintenance‑free system. Rather than locking users into fixed menus, the platform supports flexible, scenario‑driven test panels that can be configured according to clinical needs.

Typical use cases being highlighted to visitors include:

• Infection workups: CBC combined with CRP and SAA to help distinguish and monitor infectious and inflammatory conditions.
• Diabetes management: CBC plus HbA1c to support both metabolic control assessment and general health status from one sample.
• Cardiac risk and symptom evaluation: CBC with NT‑proBNP for early insight into cardiac strain in outpatient or emergency‑adjacent settings.

These combinations resonate particularly with physicians from primary care, urgent care centers, and pharmacy‑based clinics, where space, staff, and time are limited. For them, the promise is straightforward: fewer instruments, fewer manual steps, and broader diagnostic coverage per patient encounter, with panels that can be adapted as guidelines and local practice evolve.

Intelligent AI Workbench: from Numbers to Guidance

Another focal point of the WHX Labs demonstrations is Ozelle’s Intelligent AI Workbench (Open Dx), a unified digital layer built directly into the analyzer. Rather than treating testing, review, and interpretation as separate islands, the workbench brings test ordering, result visualization, and AI‑assisted clinical guidance into one continuous interface.

In Live demos, visitors watch as the system:

• Automatically flags abnormal findings and potential risk patterns in real time.
• Generates structured overview interpretations instead of static, number‑only reports.
• Enables conversational exploration of results, where clinicians can query the system about possible causes, next steps, or guideline‑aligned considerations.

For veterinary users, the same workbench extends to species‑specific diagnostic guidance and medication references, reflecting Ozelle’s ambition to support both human and animal health within a shared AI framework. On site, this interactive experience is often described by attendees as the moment where the analyzer stops being “just a machine” and starts behaving like a practical assistant—still under clinician control, but actively helping to bridge the gap between data and decisions.

AI in Diagnostics: From Central Labs to the Front Line

The discussions around Ozelle’s booth illustrate a broader trend that is becoming increasingly visible across WHX Labs Dubai: AI is moving from proof‑of‑concept to embedded infrastructure in diagnostic workflows. Instead of isolated AI apps, the focus is shifting toward integrated systems that combine:

• Edge AI, delivering near‑instant analysis at the instrument level.
• Morphological and quantitative fusion, uniting cell images with CBC parameters for richer diagnostic context.
• Multi‑disciplinary testing in a single run, covering hematology, biochemistry, and immunoassay without extra complexity for operators.

This evolution is especially relevant for decentralized and high‑volume environments such as community hospitals, retail clinics, and emerging‑market facilities, where advanced diagnostics have often been constrained by infrastructure, cost, or staffing. Ozelle’s system is designed to answer that challenge with maintenance‑free hardware, cartridge‑based workflows, and software that can be updated and refined as its AI models learn from a continuously expanding real‑world dataset.

Global Scale, Real‑World Validation

Behind the WHX Labs showcase lies a substantial installed base: more than 50,000 installations worldwide, generating over 50 million cell images every day and feeding a dataset that now exceeds 100 billion real‑world data points. This volume of data underpins Ozelle’s algorithm training, validation, and quality control, supporting a level of robustness that is increasingly demanded by both regulators and clinical users.

The company emphasizes an industry‑exclusive quality control framework that continuously monitors AI performance across installations, helping ensure that improvements are not only rapid but also reproducible and safe for deployment. For attendees exploring AI solutions, this combination of scale and systematic validation is a critical differentiator: it signals a shift from experimental AI add‑ons to mature, clinically integrated technology.

Voices From the Floor: Immersive Demos and Conversations

Throughout the four-day event, the Ozelle booth will be structured less like a static display and more like an open demonstration lab. Visitors will move between live test runs, interactive workbench sessions, and one-to-one discussions with product experts who will walk through different clinical scenarios—from infection triage in urgent care, to longitudinal diabetes management in primary care, to veterinary practice workflows.

Many conversations will center on how to implement AI + CBM without disrupting existing processes: how results feed into LIS/HIS systems, how staff training is handled, and how the platform can scale from a single instrument in a clinic to networked deployments across regions. For distributors and partners, the multi-functional, AI-driven design will also be seen as a way to differentiate portfolios in mature CBC markets and open new value-added services around data, connectivity, and remote support.

Looking Ahead

As WHX Labs Dubai 2026 approaches, one clear narrative will emerge from Ozelle’s presence: AI blood analyzers are no longer just about faster counts—they are redefining what “complete blood morphology” means in daily clinical practice. By merging CBM, multi-analyte testing, and intelligent interpretation into a single, scenario-ready platform, Ozelle will position AI not as a distant future promise, but as an immediately deployable tool for clinicians at every level of the healthcare system.

For healthcare providers, partners, and media seeking to understand where diagnostic innovation is heading, Booth S1.D58 at WHX Labs Dubai will offer a concise preview: a future in which seeing more and diagnosing smarter are delivered together, in one compact, AI-enabled system.

FAQs

1. What is AI CBM? AI‑powered Complete Blood Morphology that combines CBC parameters with cell‑image analysis for deeper diagnostic insight.
2. How much blood is needed? Typically 30–60 μL from capillary or venous samples.
3. Is it suitable for primary care? Yes, compact design, simplified workflow and cartridge‑based operation fit clinics and pharmacies.
4. Can it connect to LIS/HIS? Supports standard connectivity interfaces for integration into existing hospital systems.
5. How long does a test take? Around 6 minutes from loading the sample to viewing a full report.
6. What maintenance is required? Minimal; single‑use cartridges avoid tubing, reduce cleaning and lower failure risk.
7. Is it appropriate for vulnerable patients? Low sample volume and finger‑prick collection are friendly for children and elderly patients.
8. How is data security managed? Patient data can be encrypted and access‑controlled in line with institutional policies and regulations.