Pressroom
Gestalt in the Press &
Out in the Industry
Press Releases

Spokane, Washington, July 9, 2025 – Gestalt, a leading provider of AI-powered digital pathology solutions, showcased its AI-powered pathology platform, PathFlow, at the Spring 2025 DICOM WG-26 Interoperability Connectathon, confirming its readiness for real-world clinical integration and multi-vendor environments. The Connectathon was co-sponsored by the Digital Pathology Association (DPA) and the European Society of Digital and Integrative Pathology (ESDIP). The event, hosted virtually from January to June and featured at the European Congress on Digital Pathology in Barcelona, brought together over 30 organizations to validate end-to-end workflows, in varying categories, using DICOM standards. The categories included image acquisition, storage, viewing, and AI-driven annotations. Gestalt’s platform stood out as a leader in interoperability, particularly as an Image Display (Viewer). Gestalt’s Viewer successfully displayed images from 8 of 9 different WSI Scanners, demonstrating seamless compatibility with multiple diverse systems such as 3DHISTECH, Grundium, Leica, Hamamatsu and Pramana. This robust performance ensures pathologists can access high-quality whole slide images effortlessly, regardless of the source, streamlining diagnostic workflows. Additionally, PathFlow excelled in displaying annotations from five AI Evidence Creators, including industry leaders like Visiopharm, Hologic, TechCyte and identify.bio, further demonstrating its ability to present structured data for precise diagnostic insights. As an Evidence Creator itself, (AI Annotations), Gestalt showcased its advanced AI capabilities, by analyzing and annotating images from eight scanners. These annotations were successfully transmitted to five different image management archives using standard DICOM Web protocols, highlighting Gestalt’s ability to deliver accurate, standards-compliant AI-driven outputs. This functionality empowers pathologists to integrate AI seamlessly into routine clinical operations, improving efficiency and diagnostic accuracy. “Gestalt’s performance at the Connectathon reflects our dedication to building interoperable, scalable solutions that empower pathologists globally,” said Brian Napora, VP of Innovation, Gestalt Diagnostics. “By investing in open standards, we’re helping lead digital pathology toward a more integrated and intelligent future.” The Connectathon’s rigorous testing environment validated Gestalt’s ability to handle real-world challenges, such as legacy image integration and complex multi-vendor workflows without requiring custom workarounds. Gestalt’s commitment to DICOM standards positions PathFlow as a cornerstone for vendor-neutral, future-ready pathology solutions. About Gestalt Gestalt Diagnostics is a Spokane-based company dedicated to revolutionizing pathology through digital solutions. Founded in 2017, Gestalt provides advanced technology, proven digital expertise, and artificial intelligence to enable pathologists to diagnose diseases faster and more efficiently. The company's PathFlow platform is at the forefront of digital pathology innovation, offering significant improvements in diagnostic accuracy and workflow efficiency. To learn more, visit www.gestaltdiagnostics.com and follow @Gestalt on LinkedIn

Spokane, Washington, June 17, 2025 – Gestalt, a leading provider of AI-powered digital pathology solutions, today announced the addition of Dr. Renuka Kulkarni, MD, as Chief Medical Officer (CMO). A physician scientist with over 20 years of experience in surgical and digital pathology, Dr. Kulkarni will join the team in guiding Gestalt’s product direction and clinical usability. Dr. Kulkarni brings a rare blend of diagnostic precision and scientific innovation to the organization. Her expertise in breast pathology, immunomarkers, machine learning, and image analysis strengthens Gestalt’s mission to revolutionize diagnostic workflows and clinical decision-making through technology. “Renuka’s addition signals our deepening investment in the future of pathology,” said Lisa-Jean Clifford, President of Gestalt Diagnostics. “Her leadership and experience at the intersection of clinical insight, AI, and enterprise lab operations will ensure our solutions continue to serve both pathologists and the patients they care for.” Before joining Gestalt, Dr. Kulkarni played a pivotal role in developing one of the earliest digital pathology programs at a leading full-service reference laboratory. Her extensive hands-on experience with Gestalt’s solutions, as a customer and direct user for four years, along with image analysis platforms, and combined with her understanding of real-world lab operations, positions her to help bridge the clinical and commercial realms—ensuring the scalability and impact of Gestalt’s solutions. As CMO, Dr. Kulkarni will help shape the development of next-generation diagnostic tools, supporting Gestalt’s mission to enhance diagnostic accuracy, efficiency, and interoperability across health systems worldwide. “I’m honored to join Gestalt at such a transformative moment in digital pathology,” said Dr. Kulkarni. “Together, we have the opportunity to shape solutions that truly serve pathologists and ultimately improve outcomes for patients everywhere.” About Gestalt Gestalt Diagnostics is a Spokane-based company dedicated to revolutionizing pathology through digital solutions. Founded in 2017, Gestalt provides advanced technology, proven digital expertise, and artificial intelligence to enable pathologists to diagnose diseases faster and more efficiently. The company's PathFlow platform is at the forefront of digital pathology innovation, offering significant improvements in diagnostic accuracy and workflow efficiency. To learn more, visit www.gestaltdiagnostics.com and follow @Gestalt on LinkedIn

Spokane, Washington, April 28, 2025 – Gestalt, a leading innovator in AI-powered digital pathology solutions, announced the completion of a $7.5 million Series A financing. The round was led by Cowles Ventures, TVF Funds, Inland Imaging Investments, KickStart Funds, and prominent angel investors from the Pacific Northwest. Gestalt’s PathFlow® platform is used by leading healthcare, academic medical centers, and research organizations. Customers implement PathFlow as their preferred solution because it integrates seamlessly into their existing laboratory information systems, enabling faster, more accurate diagnoses and improving access to expert consultation, education, and research—regardless of location. "PathFlow is transforming pathology by leveraging robust digital workflows and AI algorithms to support scoring of key biomarkers. This enables organizations to accurately match patients to known therapies and generate rich datasets for research and new drug development," said Dan Roark, CEO, Gestalt. "Our technology is designed to improve patient outcomes by enabling faster, more accurate diagnoses and broadening access to clinical expertise." This new funding will facilitate broader market adoption and increased profitability. The capital will be used to expand the company’s customer base, enhance AI capabilities, and pursue FDA clearance. This comes at a critical moment, with rising cancer rates and a declining number of practicing pathologists intensifying the need for scalable, digital-first diagnostic solutions. “We are incredibly grateful for the continued support from our investors,” Roark added. “This funding allows us to expand on the solid foundation we’ve built. We’ve already streamlined how pathologists navigate fragmented systems by creating PathFlow, a unified platform for viewing pathology cases digitally and collaborating with leading experts in real-time without the need to ship specimens. Now, we’ll accelerate innovation and scale our reach to meet the growing demands of modern pathology.” Gestalt is at the forefront of a critical shift in diagnostic medicine, helping transform pathology from a manual, microscope-based process to a scalable digital solution leveraging artificial intelligence tools — like the digital transitions already seen in radiology and cardiology. The company’s platform not only improves diagnostic speed and precision which is critical for cancer patients who can wait for days to weeks or more for a diagnosis, but also unlocks AI-powered insights that enable: Biomarker scoring to support the optimization of patient-therapy matching, Image and data analysis for disease progression studies, And the interoperability that enables pathologists access to valuable aides and insights that streamline their workflows, highlight areas of positivity and reduce missed diagnoses. With this Series A funding, Gestalt remains committed to expanding its impact through the deployment of its’ PathFlow software in healthcare, making high-quality, scalable pathology solutions more accessible to clinicians and researchers worldwide. About Gestalt Gestalt Diagnostics is a Spokane-based company dedicated to revolutionizing pathology through digital solutions. Founded in 2017, Gestalt provides advanced technology, proven digital expertise, and artificial intelligence to enable pathologists to diagnose diseases faster and more efficiently. The company's PathFlow platform is at the forefront of digital pathology innovation, offering significant improvements in diagnostic accuracy and workflow efficiency. To learn more, visit www.gestaltdiagnostics.com and follow @Gestalt on LinkedIn
Publications

Featured in CAP TODAY December 2024—Digital pathology in 2024—what’s the sentiment, the pace, the holdup, the worry? Five people spoke online with CAP TODAY publisher Bob McGonnagle on Oct. 9 about the state of play as the end of the year neared. “It’s an ongoing conversation and foregone conclusion that laboratories will be going digital,” said Lisa-Jean Clifford, president-elect of the Association for Pathology Informatics.

Featured in Medical Laboratory Observer - MLO Written By Lisa-Jean Clifford Incorporating digital pathology and AI solutions and workflows into your organization is an exciting opportunity to enhance your operational efficiency, positively impact your diagnostic accuracy, and increase the overall automation of your laboratory practice. It is essential for maintaining your competitive position in the industry with adoption of leading technology occurring at an ever-increasing rate. It is also important to understand your current technology infrastructure and workflows and to work closely with your digital pathology solution provider to ensure that you are taking full advantage of the benefits of deploying these technologies —both today and setting the foundation for further adoption of new technologies into the future. Things to consider 1. Understand your initial goals and your long-term goals. These two may be the same or very different, depending upon your adoption strategy and reasons. The most common goals for digital pathology solution adoption in the clinical setting today are: Reduce the need for transportation of glass between labs Access to geographically distributed facilities and pathologists The ability to recruit and retain pathologists Support the technical component (TC), professional component (PC), and global workflows for outreach clients Instant access to consultations for subspecialties and/or complex cases Tumor boards The ability to use artificial intelligence When considering the above, you may have one or more initial reasons or objectives in adoption with the understanding that you would like to achieve more of these goals, or additional ones, moving forward. 2. The implementation of digital pathology needs to be an organizational goal and not just one of the lab’s. The process starts with the technical side of the workflow — from the understanding of what the scanner(s) you choose to deploy require for ‘clean’ slides. This is something that can have a significant impact on the usability, speed, and value of digital. You must start with proper identification of your lab process for creating slides and know that things like misaligned slipcovers, smudges, fingerprints, substances on the glass, folds in tissue, bubbles, and other artifacts are going to cause scanned images (WSI’s) to be unusable. This will create inefficiencies and increased time by having to redo and rescan slides in order to get usable images to the pathologists. This is the first step in quality in, quality out.... Read More

Featured in Medical Laboratory Observer - MLO Written By Lisa-Jean Clifford Biomarkers serve as critical navigational tools, guiding physicians on their patients’ journey through the diagnosis, treatment, and management of their specific cancer. In oncology, a biomarker may be a molecule secreted by a tumor or a specific response of the of the body to the presence of cancer. It can help in identifying early-stage cancers, forecasting how aggressive a cancer might be, or predicting how well a patient will respond to treatment. Biomarkers are also used to predict or monitor cancer recurrence. Prostate cancer often begins its journey with the detection of prostate-specific antigen (PSA) in the blood. This biomarker, a protein produced by both normal and malignant prostate cells, can be elevated in the presence of prostate cancer. PSA testing has become a keystone in the early detection of prostate cancer, offering insight into the biological state of the prostate. If a person has been diagnosed with cancer, biomarker testing may show whether the cancer is more likely to grow and spread, if certain cancer treatments are likely (or unlikely) to be helpful, and whether the cancer treatment is working.1 Determining treatment: Predictive biomarkers Once prostate cancer is diagnosed, the next step involves predictive biomarkers, which help in predicting the cancer’s behavior and potential response to treatments. Genes like ER, PR, and HER2/neu, although more commonly associated with breast cancer, have parallels in prostate cancer research, where molecular markers can predict the effectiveness of therapies such as hormone treatments or chemotherapy. One of the biggest areas of research is in immunotherapy, this is a treatment that manipulates the patient’s immune system to fight cancer with drugs or modified immune T cells. In the past several years, immunotherapy has had great success in some patients with certain types of cancer, but not all patients respond to this type of treatment. I have written about this in previous articles I have done on cancer and treatments — I believe this type of treatment has great potential with further development.2 There is a significant amount of research focused on discovering biomarkers that could identify which patients are likely to respond to immunotherapy. In some types of cancer, the presence or absence of immune molecules in cancer cells has been associated with determining whether a patient will have a better or worse response to immunotherapy. Biomarkers can also be used to help physicians determine if there are clinical trials available for their patients. Some trials, called basket studies, are based on the biomarkers in tumors and/or cells instead of the primary body site of the cancer. There are other trials that are using biomarkers to match treatments based on the gene characteristics or genetic changes in the patient’s cancer. Monitoring treatment: Prognostic biomarkers ... Read More