AI & Algorithm Innovation

A proprietary deep learning system designed to locate, pre-classify and characterize blood cells with speed and accuracy, redefining manual microscopy workflows.

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Clinical laboratories face growing pressure to deliver faster, more accurate results while managing increasing test volumes. Traditional hardware alone can no longer meet this demand. xDbio integrates AI and machine learning across its diagnostic platforms to transform raw data into structured clinical insights.Our algorithmic strategy covers three key areas: cellular morphology recognition, continuous diagnostic pattern learning, and intelligent laboratory workflow automation. This enables both human and veterinary healthcare providers to raise diagnostic confidence and streamline daily operations.

Cellular Morphology AI

Machine Learning Diagnostics

Smart Lab Automation

Redefining Hematology with Deep LearningAt the forefront of our digital revolution is the proprietary AI Hematology Morphology Analyzer. Moving beyond the limitations of manual microscopy, this revolutionary system utilizes deep neural networks trained on massive clinical image datasets. It autonomously locates, pre-classifies, and characterizes blood cells with unprecedented speed and accuracy. By turning labor-intensive morphological reviews into a rapid, standardized digital workflow, we are setting a new benchmark for precision hematology.

Continuous Learning for Unmatched PrecisionOur diagnostic algorithms are not static; they are dynamic and constantly evolving. By integrating machine learning models across our instrument portfolio, our systems continuously adapt to recognize subtle, critical abnormalities—such as atypical lymphocytes, rare blasts, or nuanced biochemical patterns. This intelligent pre-screening drastically reduces human error, elevating the diagnostic confidence of both human and veterinary medical professionals.

Orchestrating Intelligent WorkflowsTrue digital transformation extends beyond single test results to the entire laboratory ecosystem. Our Smart Lab Automation algorithms seamlessly integrate our multi-platform analyzers (CLIA, Chemistry, Hematology, Coagulation) with Hospital/Laboratory Information Systems (HIS/LIS). From intelligent sample routing and automated reagent inventory management to predictive maintenance alerts, we empower clinical environments to operate with maximum efficiency and virtually zero unplanned downtime.

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30%+ Reduction in 5-Year Ownership CostEliminate repeated capital replacement cycles with software-upgradable handheld hardware.

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Shorter Radiology Backlog & Wait TimesDecentralize scanning to point-of-care settings and relieve pressure on central ultrasound departments.

how it worksNeural networks are a fundamental component of Artificial Intelligence (AI) systems

Neurons and Layers

A neural network consists of interconnected nodes called neurons. Neurons are organized into layers.

Activation Function

Each neuron applies an activation function to the weighted sum of its inputs and produces an output

Feedforward Process

The inputs are multiplied by their respective weights, summed up, and passed through the activation function.

Neurons and Layers

A neural network consists of interconnected nodes called neurons. Neurons are organized into layers.

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Working withNeuro has been a game-changer for our business. Their AI solutions have revolutionized our operations, enabling us to automate repetitive tasks and make data-driven decisions with ease. We couldn't be happier with the results."

John AndersonCEO of XYZ Company

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What is Artificial Intellegance?

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

How does Machine Learning relate to Artificial Intelligence?

Is Artificial Intelligence replacing human jobs?

What are the different types of Artificial Intelligence?

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