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Cambridge, United States
51-100 Employees
Pramana Joins Proscia Ready To Help Laboratories Realize More Value From Their Pathology Data. Pramana, Inc is a new health technology company from nference that enables digital transformation for next-generation pathology at medical centers and pathology labs. Pramana offers a first-in-class Digital Pathology as a Service (DPaaS) solution by providing a turnkey service offering with cutting-edge whole slide imaging systems and a scalable software platform for clinical workflows. Pramana is a gateway for pathologists to utilize AI-enabled decision support leveraging applications developed by nference and other healthcare technology companies. Pramana is a result of nference’s venture into digital pathology which began with the acquisition of Spectral Insights in April 2020. Pramana launches as a new company offering solutions that are ready to be deployed at leading medical centers and labs after having completed successful pilot projects. Pramana partners with medical centers and their pathology labs to digitize their glass slides and paper records via a seamless and cost effective Digital Pathology as a Service (DPaaS) solution. Pramana Systems are for Research Use Only@2024 Pramana, Inc.
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Hello Digital Pathology 2.0, the new standard in whole slide imaging
... Introducing the Spectral™ Family of Digital Pathology Solutions from ...
Glasgow, United Kingdom
1-10 Employees
2015
Clinnovate Health partners with medtech and healthcare technology providers to build and commercialise novel integrative diagnostic platforms for various research and clinical applications.
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Digital Pathology
... Digital Pathology ...
Seattle, United States
11-50 Employees
2005
Our goal is to take the guesswork out of file formats, data conversion, sharing, storage, so you can get the most out of your imaging data and analysis. Explore more as we provide the solution for your everyday image data management. Glencoe Software builds and delivers innovative, scalable, easy-to-use scientific imaging solutions for its clients and partners. Glencoe’s products are installed and used in several world-leading academic labs, biotechs, pharmas and publishers, solving mission-critical problems in high-content screening, digital pathology, and many other modalities. We enhance the technology built and delivered under this world-leading consortium by offering on-demand customization and guaranteed support. We value and remain committed to nurturing and supporting the OME’s open source community wherever possible. The licensed Bio-Formats solution from Glencoe Software is the most comprehensive scientific image translation library available with support for over 160 image file formats from various imaging domains.
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The Ideal Digital Pathology Solution
... Digital Pathology Solution | Image Data Solutions | Glencoe Software, Inc. ...
Montreal, Canada
11-50 Employees
The mission of Aurora mScope is to provide pathologists, educators and researchers with the power,.
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Industry leaders in digital pathology
... Vendor-neutral digital pathology workflow and WSI viewer from Aurora mScope. ...
Woolwich, Canada
11-50 Employees
1994
Audil directs the day-to-day operations, guides product development, and works closely with the sales team. Susan has over 25 years of executive level experience leading human resources, marketing, strategy and communication teams in North America, Europe, and Asia. Steven brings over 30 years of experience working within Panasonic in Japan, Singapore, Philippines, and the United States prior to its healthcare arm being spun off as PHC Holdings in 2019. Brian is the retired CEO of Teledyne DALSA, one of Canada’s most successful imaging technology companies and OEM supplier of digital imaging components to the medical, scientific, and industrial markets. Don Guelich is a Senior Manager of Global Solutions for Digital Pathology at Epredia. Receive Frost & Sullivan’s 2013 Product Excellence Award in Slide Scanners. Huron's solutions leverage our 10+ year experience in providing whole slide scanners to leading clinical and research institutions. We offer an easy-to-use tool for pathologists, researchers and educators to retrieve images that are anatomically similar to the biopsy samples they are reviewing.
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Homepage - Huron Digital Pathology
... Video Profile on Huron Digital Pathology ...
Berlin, Germany
51-100 Employees
2015
You can show off exactly what your brand can offer and boost your business image, gain exposure. Pathologists meet innovation and technology for a better outcome is the subject of the 12DIGIPATH2024. The Pathology Congress will provide an interesting and educational programme that will allow attendees to reflect on and celebrate their achievements, renew collaboration and expand their networking, and study current and future research in a particular direction. UCGConferences has been an accredited provider of CME/CPD, and worked with other programs as a joint provider for over 5+ Years. What is the difference between CPD and CME Certifications? CPD Certifications (Continuing Professional Development) is the process of lifelong learning where physicians acquire—through formal and informal education and their practice—the skills, knowledge, and attitude that they need to maintain the ability to practice and the competence to provide effective patient care. An illness Software that offers automated pathology or assists pathologists in their work is known as an AI system. Surgical pathology is the study of tissues taken from living patients during surgery.
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Digital Pathology UCGConferences
... Digital Pathology ...
Taipei, Taiwan
51-100 Employees
2015
In collaboration with aetherAI, you can take advantage of the following features. Our offering includes a web-based digital pathology image management and viewer system, image annotation services, AI model construction, and an integrated AI-powered workflow. Our offerings range from slide quality control to case triaging, differential cell counting, and IHC quantification. While ordinary patch-based workarounds create the extra burden of writing detailed annotations, aetherAI’s True GigaPixel AI takes an annotation-free training approach by using entire WSIs and slide-level diagnoses. We unite professional talents across medicine, data science, computer engineering, and more, using state-of-the-art technology to elevate the standard of pathological diagnosis and improve the quality of healthcare.
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AI - empowered Digital Pathology
... ’s leading medical image AI company with a special focus in digital pathology. Dedicated to elevating the standard of pathological diagnosis and improve the quality of care, aetherAI strives to provide solutions for digital pathology transformation and AI-powered diagnostic support. ...
Mumbai, India
1-10 Employees
The Pap smear is the primary diagnostic test used to detect cervical cancer early in women. The volume has become so large that it is now becoming burdensome on labs to diagnose these smears in a timely manner, without impacting other parts of operations. Rushabh is the co-founder and CEO of identify.bio responsible for day-to-day operations of the company. Girish Muzumdar (MD Pathology) serves as the Medical Director of identify.bio. Daftary is a second-generation entrepreneur with a successful record of accomplishment of starting various companies in the healthcare domain – from Diagnostics to Healthcare Delivery. Daftary was primarily responsible for research and development, manufacturing and global sales in the organization Created a global scale research, development and manufacturing capabilities for cost effective and quality equine based anti-venoms and immunoglobulins biological product range Established a world-class Biotech research and manufacturing infrastructure with several first in the world products for specific life-threatening diseases. Pioneer in developing and commercialization novel drug delivery systems with several first-time products – globally and in India. Anupama Gupta is a professor and the Head of Department (Pathology) at the Mahatma Gandhi Institute of Medical Sciences, Sevagram, India.
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identify.bio | Digital Pathology
... .bio | Digital Pathology ...
Kalamazoo, United States
501-1000 Employees
2019
At Epredia, our mission is personal and our culture is defined by our passion and care for our employees and our customers. Epredia was established in July 2019 through an acquisition by PHC Group from Thermo Fisher Scientific. Customers put their trust in Epredia over a billion times every year. We value a collaborative environment with a winning mentality that delivers operational excellence and best-in-class support to our customers on the frontline. We live and model our Values & Behaviors to inspire our people and make Epredia a world-class organization that we are all proud to claim as part of our identity and the place where we work. Powered by trusted brands such as Shandon, Microm, Menzel Gläser and Richard-Allan Scientific, Epredia has a wide breadth of solutions that have and will continue to transform the anatomical pathology market. Since our humble beginnings in 1937, every product developed has been impacted by generations of employees who are committed to improving lives by enabling pathologists through enhancing precision cancer diagnostics. Take a closer look at the trusted tools that form the foundation for excellence in cancer diagnostics.
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Digital Pathology
... The versatile digital pathology solution that meets your evolving needs to keep you ahead of the ...
Sint-Niklaas, Belgium
1-10 Employees
2015
We at Agoko are convinced that digital pathology will set new standards in terms of efficiency, productivity, and reliability. Agoko's mission is to foster better treatment decisions and improve patient care by providing its digital telepathology platform, services, and expertise to hospitals, laboratories, healthcare research sites and companies worldwide. Slide Server We are using state-of-the-art technology to make storing, sharing, viewing and annotating whole slide images easy and fluent, on our cloud servers as well as on premise. Our team Agoko was founded by an enthusiastic team of seasoned pathologists and IT experts with one mission: harnessing the power and possibilities of digital pathology to improve patient healthcare worldwide. Agoko proudly relies on its international network of pathologists to offer trustworthy diagnostic biopsies and annotation services in every field of histopathology and cytopathology. Thanks to Agoko's digital pathology platform SlideSpace, IPSCON can provide their expertise to hospitals, laboratories and research sites all over the world, anytime and wherever the need for qualified diagnosis arises. Digital Pathology Platform Our CE-IVD certified cloud based SlideSpaceplatform offers a complete infrastructure for patient-centric and workflow driven whole slide image analysis. SlideSpace offers pathologists a certified cloud based, automated workflow to manage and share diagnostic consultations, including primary, secondary and interoperative reviews and diagnoses.
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Unlock the full power of digital pathology
... Agoko provides an all inclusive digital pathology platform and pathology services to hospitals, laboratories, and healthcare research sites worldwide. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Digital Pathology
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 112 |
| Amount of suitable service providers | 93 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1994 |
| Youngest suiting company | 2019 |
Digital pathology, a dynamic, image-based environment that enables the acquisition, management, and interpretation of pathology information generated from a digitized glass slide, is revolutionizing the field of pathology. Through advanced imaging technology, it converts analog microscopic slides into high-resolution digital images, providing a robust platform for the analysis and sharing of pathological information. This digital conversion facilitates the storage, efficient retrieval, and detailed examination of slides, surpassing the limitations of traditional microscopy. It supports enhanced diagnostic accuracy through improved image analysis algorithms and artificial intelligence tools, which assist pathologists in detecting and quantifying complex patterns not easily discernible through conventional methods. Furthermore, digital pathology fosters a collaborative ecosystem, allowing for seamless sharing of digital slides among healthcare professionals regardless of geographical constraints. This is instrumental in expediting second opinions, educational pursuits, and research collaborations, thereby significantly improving patient care outcomes. Its integration into pathology departments underscores a pivotal shift towards more precise, reproducible, and scalable pathology practices. As such, digital pathology is not just transforming the operational dynamics of pathology departments but is also pivotal in the advancement of personalized medicine, contributing to more targeted and effective treatment plans for patients.
1. Enhanced Diagnostic Accuracy
: Digital pathology utilizes advanced imaging technology, allowing for high-resolution slide scanning. This enables pathologists to examine samples with greater detail and precision, significantly reducing the chances of misdiagnosis and improving the overall diagnostic accuracy.
2. Remote Access and Collaboration
: One of the standout benefits is the ability for pathologists to access and share digital slides remotely. This facilitates seamless collaboration between specialists worldwide, enhancing the decision-making process and enabling a more comprehensive approach to patient care.
3. Efficient Storage and Retrieval
: Digital pathology systems offer efficient solutions for storing, managing, and retrieving vast amounts of data. Unlike traditional glass slides that require physical space and can degrade over time, digital slides can be securely stored in cloud-based systems, making them easily accessible for future reference and longitudinal studies.
4. Integration with Artificial Intelligence (AI)
: The digital nature of these slides allows for the integration of AI and machine learning algorithms, which can assist in identifying patterns and anomalies that might be missed by the human eye. This not only speeds up the diagnostic process but also opens the door for personalized medicine and predictive analytics in pathology.
While evaluating the different suppliers make sure to check the following criteria:
1. Image Quality and Resolution
Ensure the supplier provides high-resolution scanners that can capture detailed images, essential for accurate diagnoses.
2. Scalability and Integration
The system should easily integrate with existing hospital or laboratory information systems (LIS/HIS) and be scalable to accommodate growth.
3. Speed and Efficiency
Assess the speed of image processing and loading times, which are critical for timely diagnoses.
4. User Interface and Accessibility
The platform should have an intuitive, user-friendly interface and be accessible from various devices, including mobile.
5. Regulatory Compliance
Verify that the supplier meets all relevant regulatory requirements, including data protection and privacy laws.
6. Customer Support and Training
Consider the level of customer support and training provided to ensure smooth implementation and ongoing use.
7. Cost-effectiveness
Evaluate the total cost of ownership, including upfront costs, maintenance, and any additional fees for software updates or support.
8. Security Features
Ensure robust data security measures are in place to protect sensitive patient information.
9. Vendor Reputation and Experience
Research the supplier's reputation and experience in the digital pathology field, including customer testimonials and case studies.
10. Innovation and Future-proofing
Consider the supplier's commitment to innovation and how they plan to update their system to keep pace with advancements in digital pathology.
Digital pathology, the practice of converting glass slides into digital slides that can be viewed, managed, and analyzed, is revolutionizing various industries beyond its traditional stronghold in healthcare. In the pharmaceutical sector, digital pathology facilitates drug development by providing a more efficient way to conduct tissue-based research. By digitizing slides, researchers can share findings easily, collaborate more effectively across global teams, and apply advanced image analysis algorithms to improve the accuracy of their results. This accelerates the pace of discovery and development of new drugs, ensuring quicker transitions from the lab to clinical trials. The education and training field is another beneficiary, where digital pathology supports remote learning and enables interactive teaching methods. By accessing a vast library of digitized slides, students and professionals can study a wide array of pathologies from anywhere in the world, enhancing the learning experience and fostering a deeper understanding of complex subjects. Agriculture industry also taps into digital pathology for plant disease diagnosis and research. By analyzing digitized samples of infected crops, specialists can identify disease patterns, monitor outbreaks, and advise on treatment more swiftly and accurately. This application helps in safeguarding crop health, optimizing yield, and ensuring food security on a global scale. Each of these use cases demonstrates the versatility and transformative potential of digital pathology across different B2B landscapes, highlighting its role in advancing research, education, and practical applications in various sectors.
Digital Pathology, as of the latest assessments, predominantly operates at a Technology Readiness Level (TRL) of 7 to 8. This positioning is due to its transition from prototype testing in controlled environments to actual system completions and demonstrations in operational settings. The technical advancements in high-resolution digital slide scanners, which are capable of converting glass slides into digital slides with exceptional detail and clarity, underscore its readiness level. Furthermore, the integration of advanced algorithms and artificial intelligence (AI) for image analysis has significantly enhanced the accuracy and efficiency of diagnosing diseases from these digital slides. The robustness of cloud computing platforms has also facilitated the storage, retrieval, and remote analysis of vast datasets, enabling collaborative diagnostics and research across different geographies. However, the technology hasn't fully reached TRL 9, which would indicate widespread adoption and proven reliability across all intended environments and applications, primarily due to ongoing challenges in regulatory approvals, standardization of protocols for image acquisition and analysis, and the need for further validation studies to confirm its efficacy and reliability in various clinical scenarios. This reflects a technology that has demonstrated its utility and effectiveness in real-world settings but is still navigating through the final stages of optimization and regulatory acceptance to achieve full market penetration.
In the short term, digital pathology is set to experience significant enhancements in image acquisition and analysis, primarily through the integration of advanced artificial intelligence (AI) algorithms. These developments will enable quicker, more accurate diagnoses by improving the resolution and quality of digital slides. The next few years will also see the implementation of cloud-based platforms, facilitating easier access and sharing of digital pathology images and data across different locations, thereby improving collaboration among pathologists. Mid-term advancements will likely focus on the integration of digital pathology with other medical data, leveraging big data analytics to provide more comprehensive and personalized patient diagnoses. Expect to see AI algorithms becoming more sophisticated, capable of identifying patterns and anomalies beyond human capability. This phase will also witness the expansion of digital pathology applications beyond diagnosis to include areas such as predictive analytics for disease progression and response to treatment, enhancing patient management and care. Long-term, the field may evolve with the advent of fully automated digital pathology systems, powered by machine learning and AI, capable of handling the entire diagnostic process with minimal human intervention. These systems will not only increase efficiency but also reduce the potential for human error. The convergence of digital pathology with emerging technologies such as augmented reality (AR) could revolutionize how pathologists interact with tissue samples, offering 3D, interactive visualizations. This era will mark the full realization of digital pathology's potential to transform the landscape of disease diagnosis, research, and education.
