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dx.anx - diagnostics & analytics

dx.anx - Diagnostics & Analytics

 dx.anx integrates diagnostics and analytics for enhanced image-based diagnostics with machine learning tools.

 

In the realm of healthcare, the convergence of diagnostics and analytics has ushered in a new era of precision medicine and improved patient care. Among the forefront technologies driving this transformation is dx.anx platform, a cutting-edge platform that seamlessly fuses diagnostics with analytics, particularly excelling in image-based diagnostics through the power of Machine Learning (ML) is in the development stage. 


dx.anx platform represents a paradigm shift in the healthcare industry, where traditional diagnostic methods are augmented and enhanced by advanced analytics and machine learning algorithms. By integrating diagnostic processes with analytics, dx.anx platform offers healthcare professionals a comprehensive toolkit to streamline decision-making, improve accuracy, and ultimately, enhance patient outcomes.


The Fusion of Diagnostics and Analytics: dx.anx leverages the synergy between diagnostics and analytics to extract valuable insights from vast amounts of patient data. By analyzing both structured and unstructured data, including clinical records, medical images, and laboratory results, dx.anx platform enables healthcare providers to make informed decisions quickly and accurately.


Image-Based Diagnostics with Machine Learning:One of the most compelling features of dx.anx platform is its proficiency in image-based diagnostics, powered by state-of-the-art machine learning algorithms. By training on extensive datasets of medical images, dx.anx platform algorithms can detect patterns, anomalies, and subtle indicators that might elude human observers. This capability is particularly valuable in fields such as radiology, pathology, and dermatology, where accurate interpretation of images is crucial for diagnosis and treatment planning.


Key Features and Benefits:

  • Enhanced Accuracy: By integrating advanced analytics and ML algorithms, dx.anx improves diagnostic accuracy, reducing errors and minimizing misdiagnoses.
  • Efficient Workflow: dx.anx streamlines diagnostic workflows by automating repetitive tasks, allowing healthcare professionals to focus on complex cases and critical decision-making.
  • Personalized Medicine: Through sophisticated analytics, dx.anx facilitates personalized treatment plans tailored to individual patient profiles, optimizing therapeutic outcomes.
  • Continuous Learning: dx.anx continuously learns from new data, refining its algorithms and adapting to emerging trends and patterns in medical diagnostics.
  • Scalability: Designed for scalability, dx.anx can accommodate growing volumes of data and adapt to the evolving needs of healthcare providers and institutions.


Real-World Applications:

  • Radiology: dx.anx aids radiologists in interpreting medical images, identifying abnormalities, and assisting in the diagnosis of conditions such as tumors, fractures, and vascular diseases.
  • Pathology: In pathology, dx.anx enhances the analysis of tissue samples, improving the detection of cancerous cells, infectious agents, and other pathological features.
  • Dermatology: dx.anx assists dermatologists in diagnosing skin conditions, including melanoma, psoriasis, and eczema, by analyzing dermatoscopic images and identifying characteristic features.


dx.anx plaftorm represents a groundbreaking innovation in healthcare, bridging the gap between diagnostics and analytics to deliver superior patient care. By harnessing the power of machine learning and advanced analytics.


The platform empowers healthcare professionals with the tools they need to make accurate diagnoses, develop personalized treatment plans, and ultimately, improve patient outcomes. 


As the healthcare landscape continues to evolve, dx.anx platform stands at the forefront, driving innovation and transforming the way we approach medical diagnostics.

medical Data analytics tool - leuko app

Leuko App - Blood Cancer Prediction Model

 Leuko App, a deep learning–based diagnostic aid designed to assist laboratories in the early detection of blood cancer by analyzing digitized peripheral blood smear images.

Developed by Shawred Analytics - Data Analytics Team, this system integrates computer vision with laboratory workflows to provide scalable, reproducible, and clinically relevant predictions. The model identifies abnormal leukocytes and early-stage leukemia patterns, offering decision support for pathologists and lab technicians.

About Leuko App

The Leuko App is a cloud-enabled tool that leverages image-based data analytics to assist in the study of leukocytes (white blood cells). By uploading a microscopic blood smear image, the app applies advanced image processing and machine learning techniques to segment and classify leukocytes into normal and abnormal groups. This rapid classification helps in basic screening for leukocytes based haematological disorders.

Designed with a user-friendly interface, the Leuko App empowers laboratories, researchers, and clinicians to perform basic leukocyte study to assist in manual review. Its image-driven approach enhances efficiency, reduces errors, and brings basic level objectivity to leukocyte cell morphology studies.

About App Development

The app is developed in collaboration with dx.anx platform (an initiative of Shawred Analytics PLC) an image-based diagnostics platform, powered by state-of-the-art machine learning algorithms. By training on extensive datasets of medical images, dx.anx platform algorithms can detect patterns, anomalies, and subtle indicators that might elude human observers. This capability is particularly valuable in fields such as radiology, pathology, and dermatology, where accurate interpretation of images is crucial for diagnosis and treatment planning.

Disclaimer

However, as with any image-driven diagnostic tool, the results require manual review by a trained professional. A skilled pathologist or laboratory specialist should visually confirm the findings to rule out subtle morphological variations or early-stage abnormalities that may not be captured by automated analytics.

In summary, the Leuko App provides a reliable first-level screening test, while ensuring that expert manual oversight completes the diagnostic process.


The Leuko App is currently in its testing and validation phase. Results should be considered only as preliminary screening outputs, not a substitute for standard laboratory diagnostic practices.


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