Digital Pathology and Artificial Intelligence:
Next Generation of Pathology for Diagnosis and Research
Industry Leading Accuracy
Clinical Decision Support
Custom Tailored Models
Seamless Integration
Products and Services
Clinical and Research Partnerships
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NovinoAI offers digital pathology IMS and AI models for clinical applications
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NovinoAI's IMS and AI models enhance the research capability for biomarker development and drug discovery.
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NovinoAI partners with pathology laboratories, academic institutions, and pharmaceutical and biotechnology companies.
Laboratory Services
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NovinoPath: a pathology laboratory accredited by CLIA provides full diagnostic pathology services including histology, immunohistochemistry, fluorescence in situ hybridization, digital PCR, etc.
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NovinoPath offers research services including tissue processing, slide digitization, image analysis, etc.
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To visit NovinoPath click this link
Image Management System (IMS) & AI
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NovinoAI IMS: a digital pathology software offers state-of-art image management system for categorizing, annotating and viewing histopathology images
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NovinoAI DX: an AI platform enables cancer detection, prognosis and prediction based on whole slide images.
Technology Capabilities
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NovinoAI: a software company specializing in the healthcare space provides consultation and development of AI-based software, including cancer diagnosis, prognosis and prediction.
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Flexoptik scanner: NovinoAI in partner with Flexoptik offers low cost high quality scanners.
Features of NovinoAI Digital Pathology
Open platform and easy to implement
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AI assisted and cloud-based system which is turn-key ready and plug-in;
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Open platform and compatible with most digital slide scanners;
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Scalable to fit all-size laboratories.
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Highly secured and regulatorily complained.
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AI-assisted quality control of images.
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Patent pending
Pathologist centered and user friendly
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Access remotely and securely via website; easy and friendly user experience;
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Viewing images and the slide labels at high quality and speed;
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Ability to have multiple viewer windows open to simultaneously compare different images or stains;
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Performing annotation and capture of the images easily;
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Enable to track, sort and retrieve images and cases;
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Ability to share the images among different viewers or pathologists;
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Automatically arranging slide images in an usual slide tray format with sequential order of the images.
Artificial intelligence readiness
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Ready to incorporate various AI modules;
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Diseases and cancer diagnostic AI modules in development;
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Research and collaboration in biomarker discovery.
Benefits of FlexLIS IMS
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Low entry cost, and no local storage server and maintenance needed;
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Fully supported by FlexLIS team, including training;
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Improving the workflow, reducing the staff’s time;
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Immediate availability of images for pathologists to review.
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Low cost but high quality Flexoptik scanners is available through NovinoAI partners
Implementation of digital pathology
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NovinoAI team will provide consultation and full support to implement digital pathology into the practices
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Factors to be considered:
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Workflow assessment.
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Specimen type and volume
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Number of slides
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Number of users and locations
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Space and laboratory staff
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Features of NovinoAI Artificial Intelligence
What is Pathology Artificial Intelligence
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Artificial intelligence (AI) refers to the simulation of human intelligence in computer systems, enabling them to replicate human-like thinking processes and behaviors such as learning and problem-solving.
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Application of AI algorithms in computational pathology, Pathology AI, became possible due to the widespread and adaptation of digital pathology.
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Various approaches can be employed in this domain, including fully supervised learning, unsupervised learning, and weakly supervised learning.
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Computational and AI pathology offers great potential in diagnosis, research and biomarker discovery.
NovinoAI platform
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The pathology AI platform developed by the NovinoAI team is to be used in images of histology slides.
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The platform is very versatile and flexible in developing AI algorithms based on histology images.
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The platform can be used for developing AI algorithms for disease diagnosis and treatment, biomarker discovery and validation, etc.
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AI algorithms developed by NovinoAI team is an open platform that can be used in any image management system, including Image Management System.
Research and collaboration opportunities
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NovinoAI provides digital pathology services to researchers and tissue banks including digitizing slides, categorizing images, and supporting collaboration.
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NovinoAI provides data analysis, artificial intelligence and computation consultation.
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NovinoAI collaborates with researchers from major academic medical institutions to address clinical question and to identify the solutions
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NovinoAI supports pharma and biotech collaboration in biomarkers and drug discovery and validation
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NovinoAI provides support for clinical trials by standardizing pathology services, including interpretation and quality controls.
Cui M and Zhang D. Artificial intelligence and computational pathology. Lab Invest 2021 Apr;101(4):412-422. https://pubmed.ncbi.nlm.nih.gov/33454724/
Zhang D. et al. Implantation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice. Lab Invest . 2024 Jul 23: https://pubmed.ncbi.nlm.nih.gov/39053633/
Zhu M et al. Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer. Am J Clin Exp Urol. 2024 Aug 25;12(4):200-215
About NovinoAI
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NovinoAI is a software company focused on the development of AI assisted software in the healthcare space.
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NovinoAI is a leading company developing pathology image management system (IMS) and AI models for routine clinical use.
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FlexLIS IMS supports pathology laboratories to streamline the process of review, interpretation and diagnosis.
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NovinoAI provides digital and AI solutions to support research and pharmaceutical collaboration for biomarker and drug discovery.
About Us
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Pathologists with decades of clinical practice and track record of academic research.
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Bioinformaticians and data scientists with years of experience in big data and AI fields
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Computer software engineers with expertise in software and application development
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Business entrepreneurs and regulatory attorneys to ensure business growth and compliance