Summary
Mayo Clinic launched Platform_Insights, a free platform providing data-driven insights and best practices to support healthcare organizations in developing AI solutions. Penguin Ai partnered with UPMC Enterprises to develop AI models for healthcare using the Ahavi data platform. Epic piloted a new phenotyping AI tool at Children’s Hospital of Philadelphia to improve patient diagnoses and treatments.
Editors: Raymond D. Aller, MD & Dennis Winsten
Mayo Clinic launches free platform to support health care AI innovation
December 2025—Mayo Clinic recently introduced Mayo Clinic Platform_Insights, an offering designed to advance the adoption of artificial intelligence by giving health care organizations around the world access to Mayo Clinic’s digital expertise, data-driven insights, and clinical knowledge.
“When organizations partner with us, they gain access to proven clinical and administrative solutions and the technical framework to integrate them seamlessly,” according to a press statement from Maneesh Goyal, chief operating officer for Mayo Clinic Platform, an initiative that brings together health systems, innovators, and researchers to support responsible AI development worldwide.
Mayo Clinic Platform_Insights provides data-driven insights, enabled by AI, that are shared along with Mayo Clinic’s best practices, guidance, and support to further the efforts of health care organizations of all sizes seeking to develop AI or other digital solutions but that might not have the necessary resources.
“This new program allows us to extend the reach and expertise of leading health care organizations within our digital ecosystem to help others perform better and improve patient outcomes everywhere,” Goyal ex-
plained.
Mayo Clinic Platform trains and validates solutions via Mayo Clinic Platform_Connect, a distributed network that supplies clean curated deidentified clinical data from health care organizations, payers, and medical device companies, among others. The growing network encompasses 26 petabytes of clinical information, including more than 3 billion laboratory tests, 1.6 billion clinical notes, and more than 6 billion medical images from hundreds of complex diseases.
Penguin Ai partners with UPMC
Penguin Ai has entered a strategic data partnership with UPMC Enterprises, the innovation and commercialization arm of the University of Pittsburgh Medical Center, to develop artificial intelligence models for health care.
Through the collaboration, UPMC Enterprises becomes an investor in Penguin Ai, and the latter has access to UPMC Enterprises’ Ahavi data platform, which offers customized test environments for validating AI models that address critical challenges in health care workflows, operations, and patient care.
Penguin Ai plans to develop and test at least three health care solutions using the Ahavi platform, which is fueled by primary source-verifiable deidentified real-world data. More specifically, Penguin Ai will refine its domain-specific small language models that it can commercialize with health care customers.
The company’s first solution being trained and refined in the Ahavi platform, Patient 360, summarizes structured and unstructured patient medical records to provide a snapshot of patient information for clinician review prior to a patient visit. The company is also using Ahavi to enhance its prior authorization small language model and agent to better estimate the probability that a prior authorization request will be accepted or denied and allow physicians to review and attach claims documentation in real time.
Epic pilots AI tool at CHOP
Children’s Hospital of Philadelphia has become the first site to pilot test Epic’s new phenotyping artificial intelligence tool.
The product automatically scans years of patient notes to identify discrete phenotypes, or observable traits, thereby helping to pinpoint patient diagnoses and targeted treatments.
“By transforming free-text clinical notes into structured, standardized human phenotype ontology terms, the tool lightens the documentation load for clinicians while improving data quality for care and research,” Stephon Proctor, PhD, associate chief health informatics officer for platform and innovation at CHOP, posted on LinkedIn. Dr. Proctor added that the pilot is “a big step forward” for CHOP’s genetics program.
Clinisys updates lab solution
Clinisys is now offering Clinisys Laboratory Solutions version 2025.2, which includes the company’s CLS Care artificial intelligence-powered multilingual support agent.
“These new Clinisys Clinical Pathology Laboratory and Clinisys Genomics Laboratory LIS solutions deliver robust, patient-centric workflows, advanced analytics, and preconfigured content packages via a cloud-based solution,” according to a company press release.
Among the many features introduced with this latest version are patient-centric workflows for order entry, sample collection, and receiving; enhanced patient and physician demographic management, including fields for sexual orientation and gender identity; built-in patient administration tools; expanded sample processing views; and third-party application interoperability via the cloud-hosted Rhapsody integration engine.
The CLS Care chat agent embedded in CLS v2025.2 is designed to streamline support and accelerate employee onboarding. It is trained on CLS documentation and can communicate in English, French, Spanish, and Dutch. The chat agent generates CLS application programming interface code samples in multiple programming languages, including .Net, Java, and Python.
Clinisys, 520-570-2000
Labcorp and Lunit collaborate
Labcorp and Seoul, South Korea-based Lunit have entered an initiative focused on accelerating innovation in digital pathology and artificial intelligence for clinical care and oncology research.
“The collaboration aims to leverage Labcorp’s extensive clinical and pathology expertise alongside Lunit’s cutting-edge AI algorithms to transform how tumor microenvironments are analyzed and interpreted,” according to a press announcement from Lunit. “By combining high-resolution whole slide imaging with AI-powered spatial profiling, the collaboration seeks to generate new insights that can enhance biomarker discovery and guide precision immuno-oncology strategies.”
The companies had previously collaborated on two studies. One demonstrated how AI-based spatial profiling and machine learning can identify immune-active subtypes of nonsmall cell lung cancer tumors with the MET exon 14 skipping mutation, which are associated with improved immunotherapy outcomes. The other focused on distinct tumor immune microenvironments linked to different MET alterations in NSCLC.
“These studies demonstrate how AI-powered digital pathology can reveal patterns within tumors—ultimately helping to guide treatment decisions, inform biomarker development, and pave the way for more personalized cancer care,” said Shakti Ramkissoon, MD, PhD, Labcorp vice president and medical lead for oncology, in the press announcement.
Labcorp and Lunit plan to apply digital pathology and AI to a variety of cancer types and genomic correlations.
PathAI announces new release of digital pathology system
PathAI has launched AISight Dx version 2.17, which provides the cloud-based digital pathology image-management system with an enhanced queuing system and consult workflow.
The AISight Dx queuing system has been redesigned to help labs build, save, and share curated slide and case sets for tumor boards, education, and training. Highlights include proactive case suggestions, automatic queuing from accession pages, bulk- add capabilities for cases and slides, and drag-and-drop functionality for reordering.
AISight Dx v2.17 also provides an optional lab-configurable secondary review workflow. When enabled, the case-assignment dashboard includes a secondary reviewer column to assign pathologists, as well as other functionality that creates a more formal standardized process for consults.
Through a recently announced collaboration with Voicebrook, AISight Dx supports speech-driven dictation and structured reporting. The combined offering connects slide review in AISight Dx with Voicebrook’s voice-enabled technology, allowing voice reporting within anatomic pathology workflows.
PathAI, 617-500-8457
Dr. Aller practices clinical informatics in Southern California. He can be reached at [email protected]. Dennis Winsten is founder of Dennis Winsten & Associates, Healthcare Systems Consultants. He can be reached at [email protected].