L

Lunit

AI-powered cancer detection and treatment

Senior Product Manager · Cancer Screening

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Seoul, South Korea
In Person
ProductProduct Management

About the job

Requirements
  • At least 10 years of product management experience, ideally in healthcare AI, radiology, digital health, medical imaging, or regulated software such as Software as a Medical Device or Software as a Service.
  • Proven success driving complex products through the full product lifecycle, from discovery and roadmap definition to launch, adoption, and continuous improvement.
  • Ability to lead cross-functional teams without direct people-management authority, including engineering, design, clinical, regulatory, commercial, and customer-facing functions.
  • Strong understanding of clinical environments, medical imaging workflows, and end-user needs, particularly in radiology, breast imaging, or diagnostic imaging.
  • Technical fluency to work effectively with artificial intelligence and machine learning, software engineering, data, integration, and platform teams.
  • Strong communication, stakeholder management, and decision-making skills, with the ability to influence across functions, seniority levels, and geographies.
  • Strong English communication skills, verbal and written, to collaborate effectively with global cross-functional teams and stakeholders.
  • Analytical, customer-focused, and outcome-oriented approach, with experience using metrics and user insights to guide product priorities.
  • Business-oriented approach and a strong understanding of go-to-market strategy, customer value, adoption drivers, and revenue impact in healthcare markets.
Responsibilities
  • Define, communicate, and drive the product vision and roadmap for Breast AI products, aligning with company strategy, customer needs, clinical priorities, and regulatory requirements.
  • Translate market opportunities, user pain points, clinical workflows, and business objectives into clear product strategies and prioritized initiatives.
  • Identify opportunities to connect and integrate capabilities across breast imaging solutions and contribute to a unified Breast AI ecosystem.
  • Monitor competitive dynamics, market trends, clinical evidence, regulatory developments, and customer feedback to refine product direction.
  • Lead end-to-end product development with technical and clinical teams, from discovery and requirements definition through launch and lifecycle management.
  • Translate clinical, technical, artificial intelligence and machine learning, and workflow concepts into product requirements, user stories, acceptance criteria, and release priorities.
  • Manage product scope, dependencies, risks, and delivery milestones to support timely, high-quality execution in a regulated healthcare environment.
  • Engage radiologists, breast imagers, technologists, screening program leaders, and healthcare organizations to validate needs, test concepts, and prioritize features.
  • Partner with sales and marketing to shape positioning, packaging, messaging, and launch strategy based on customer value and competitive differentiation.
  • Identify market expansion opportunities, customer segments, and strategic partnerships to strengthen the Breast AI portfolio, adoption, and long-term revenue growth.
  • Use data, customer insights, and market feedback to guide product decisions, improve product-market fit, and support revenue growth.
  • Lead cross-functional teams through product discovery, planning, execution, launch, and post-launch optimization, aligning goals, scope, timelines, risks, and success metrics.
  • Serve as the primary product contact across engineering, AI research, clinical, regulatory, quality, design, product marketing, and implementation teams.
  • Drive cross-functional decision-making by clarifying trade-offs, resolving dependencies, and connecting product priorities to clinical impact and business value.
  • Partner with regional and global stakeholders so product plans support go-to-market strategy, market access, implementation readiness, and customer adoption.
Desired Qualifications
  • Experience with breast cancer screening programs, BI-RADS, breast density, risk models, quality assurance, reporting workflows, or mammography operations.
  • Familiarity with global healthcare regulations and quality requirements, including FDA, CE, MDR, or other medical device software frameworks.
  • Experience building or integrating multi-product healthcare software portfolios, platforms, or ecosystem-based product experiences.
  • Exposure to both start-up and enterprise healthcare environments.
  • Knowledge of AI-driven healthcare technologies and current trends in medical imaging, diagnostics, and clinical decision support.

About the company

Lunit develops AI-powered software that helps hospitals detect cancer earlier and predict how patients will respond to treatments, including immunotherapy. Its AI analyzes medical images and related clinical data and integrates into existing hospital workflows to provide actionable insights for clinicians. Unlike many rivals, Lunit has real-world deployment, including nationwide use at Inje University Paik Hospital, and has won the CAMELYON Grand Challenge in 2017, supported by a global network of researchers and industry partners. Its goal is to improve cancer survival by enabling earlier detection and more effective, personalized treatment planning.

Company Size

201-500

Company Stage

IPO

Headquarters

Seoul, South Korea

Founded

2013

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Simplify's Take

What believers are saying

  • April 2026 rights offering closed 104.7%, giving KRW 211.5 billion and easing Volpara debt.
  • 2026 revenue reached KRW 45.8 billion in first half, with one million annual screenings.
  • September 2026 partnerships with 10x Genomics and WCLC studies broaden research demand.

What critics are saying

  • First-half 2026 operating loss was KRW 29 billion, extending profitability pressure.
  • Management cut headcount to 475 by June 2026, signaling tighter execution.
  • If research-only SCOPE sales stall, the Volpara debt fix and growth story break.

What makes Lunit unique

  • Lunit's FDA-cleared breast AI runs at 10,000 sites across 65 countries.
  • Its SCOPE platform powers biomarker discovery with Daiichi Sankyo, Leica Biosystems, and 10x Genomics.
  • Lunit blends imaging screening and pathology biomarkers across the cancer care continuum.

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Benefits

Meal Benefits

Paid Holidays

Bereavement Leave

Health Insurance

Disability Insurance

Conference Attendance Budget

Training Programs

Professional Development Budget

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-13%

2 year growth

3%
TMCnet
Oct 12th, 2026
Lunit and Discovery Life Sciences Collaborate to Expand AI-Powered Tissue Analysis for Biopharma Research

Lunit and Discovery Life Sciences Collaborate to Expand AI-Powered Tissue Analysis for Biopharma Research TMCnet News [October 12, 2026] | / | Lunit and Discovery Life Sciences Collaborate to Expand AI-Powered Tissue Analysis for Biopharma Research Collaboration expands access to Lunit's AI-powered pathology platform by combining it with Discovery Life Sciences' global biospecimen and specialty laboratory capabilities, enabling standardized tissue insights for biomarker research and drug development. SEOUL, South Korea, Oct. 12, 2026 /PRNewswire/ - Lunit (KRX: 328130), a leading provider of AI for cancer diagnostics and precision oncology, today announced a strategic collaboration with Discovery Life Sciences (Discovery), a global leader in biospecimens and specialty laboratory services, to expand the adoption of the Lunit SCOPE suite, the company's AI-powered pathology platform, across biopharmaceutical research. Discovery brings more than 25 years of assay expertise and has delivered biomarker services for more than 2,000 clinical trial programs while currently supporting over 350 active trial programs through its end-to-end specialty laboratory services across the drug development lifecycle. Through the collaboration, Discovery and Lunit will work together with biopharma clients to apply the Lunit SCOPE suite within Discovery's biomarker and tissue analysis workflows, tailoring AI-powered pathology to each program's design. By pairing Discovery's global biospecimen network and specialty laboratory expertise with Lunit's AI-powered image analysis on client programs, the companies aim to provide pharmaceutical and biotechnology companies with standardized, quantitative tissue insights that support clinical research, translational studies, and drug development. The collaboration is expected to broaden global access to Lunit's AI-powered pathology platform for biopharmaceutical researchers and organizations. The companies also plan to expand AI-enabled tissue analysis services that help researchers generate deeper biological insights, improve the reproducibility of tissue-based analysis, and accelerate evidence generation throughout the drug development process. In addition, Lunit will participate in Discovry Life Sciences' Bridging Biomarker Breakthroughs to Bedsides (B4 Tour) on October 14 in South San Francisco. Yoojoo Lim, Medical Director at Lunit Oncology, will speak in an expert session and join the panel discussion, "AI in Biomarkers: What's Working, What's Next." "AI-powered pathology only delivers on its promise when the tissue and the workflow behind it are consistent. Because we source the biospecimens and perform the tissue processing and pathology in our own laboratories, we can apply the Lunit SCOPE suite to reliably prepared samples and give our biopharma partners tissue data they can trust across their programs," said Anna Juncker-Jensen, PhD, Vice President of Scientific Affairs, Discovery Life Sciences. "As biopharmaceutical companies increasingly seek quantitative and reproducible biomarkers to guide drug development, AI-powered pathology is becoming an essential part of modern translational research," said Brandon Suh, CEO of Lunit. "Through our collaboration with Discovery Life Sciences, we aim to bring the Lunit SCOPE suite to more biopharma researchers worldwide, enabling standardized tissue analysis that accelerates biomarker research and ultimately supports the development of next-generation therapies." Through this collaboration, biopharma partners gain access to the Lunit SCOPE suite within Discovery's end-to-end tissue workflows, from specimen sourcing through molecular pathology and quantitative readout, all performed in Discovery's own laboratories. Integrating AI at the point of analysis gives researchers standardized, reproducible tissue data across their biomarker and translational programs. About Lunit Founded in 2013, Lunit (KRX: 328130) is a global leader on a mission to conquer cancer through AI. Its clinically validated solutions span medical imaging, breast health, and biomarker analysis, empowering earlier detection, smarter treatment decisions, and more precise outcomes across the cancer care continuum. Lunit offers a comprehensive suite spanning risk prediction and early detection to precision oncology. Its FDA-cleared Lunit INSIGHT Breast Suite and breast health solutions support cancer screening in thousands of medical institutions worldwide, while the Lunit SCOPE platform is used in research partnership with global pharma and laboratory leaders for biomarker research, and companion diagnostic development. Trusted by over 10,000 sites in more than 65 countries, Lunit combines deep medical expertise with continuously evolving datasets to deliver measurable impact for patients, clinicians, and researchers alike. Headquartered in Seoul with global offices, Lunit is driving the worldwide fight against cancer. Learn more at lunit.io. About Discovery Life Sciences Discovery Life Sciences is a global leader in biospecimens and specialty lab services, enabling the discovery and development of therapeutics and diagnostics that improve patient outcomes. Its extensive portfolio of normal and diseased human biospecimens, cellular starting materials, and preclinical ADME-tox products and services accelerates research with high-quality, highly characterized materials, complemented by expertise in cell biology. Its comprehensive suite of lab services, including molecular pathology, genomics, proteomics, and flow cytometry, delivers critical data and insights for biomarker discovery across the full spectrum of retrospective and prospective clinical trials, from assay development and validation through Phase 3 and post-approval pathologist training. With a vision to be the most trusted partner in life science research and clinical development, Discovery Life Sciences is committed to advancing scientific research and transforming lives. View original content to download multimedia:https://www.prnewswire.com/news-releases/lunit-and-discovery-life-sciences-collaborate-to-expand-ai-powered-tissue-analysis-for-biopharma-research-302905434.html SOURCE Lunit [ Back To TMCnet.com's Homepage] |

Vialynx Inc
Sep 10th, 2026
Lunit announces collaboration with 10x Genomics to integrate ai-enabled pathology analysis with spatial molecular data for oncology clinical research.

Lunit announces collaboration with 10x Genomics to integrate ai-enabled pathology analysis with spatial molecular data for oncology clinical research. Science · SEP 10, 2026 PR Newswire 10x Genomics, a leader in single-cell and spatial biology, to combine its spatial biology technologies with Lunit's AI-powered H&E pathology analysis to ad... 10x Genomics, a leader in single-cell and spatial biology, to combine its spatial biology technologies with Lunit's AI-powered H&E pathology analysis to advance oncology biomarker discovery SEOUL, South Korea, Sept. 10, 2026 /PRNewswire/ - Lunit (KRX: 328130), a leading provider of AI for cancer diagnostics and precision oncology, today announced that 10x Genomics, Inc. (Nasdaq: TXG) will incorporate Lunit's AI-powered pathology platform, Lunit SCOPE IO, into its oncology biomarker discovery workflow. Lunit SCOPE IO will be used to analyze Hematoxylin and Eosin (H&E) pathology images alongside spatial molecular data generated from 10x's oncology-focused clinical research studies. 10x Genomics is a leader in single cell and spatial biology, with its technologies cited in more than 10,000 research publications and enabling discoveries across oncology, immunology, neuroscience and other fields. The work brings together molecular insights generated using 10x's Xenium and Atera spatial platforms with tissue characterization from Lunit SCOPE IO. By analyzing pathology images alongside spatial molecular data, 10x aims to better understand how tissue morphology relates to the underlying biology of tumors and identify biomarkers associated with treatment response and resistance. "10x Genomics has built powerful tools for understanding the molecular organization of tissue," said Brandon Suh, CEO of Lunit. "Lunit SCOPE IO adds the ability to analyze the full H&E landscape at scale. Together, we believe these technologies can help researchers connect deep molecular insight with the tissue patterns that pathologists recognize every day." "Spatial technologies provide a fundamentally richer view of the biology within tumors and their microenvironment," said Roman Yelensky, Vice President, Clinical Applications of 10x Genomics. "By combining that molecular depth with Lunit's AI-based analysis of the same H&E images pathologists work with every day, we can give researchers a more complete view of the tumor to accelerate the discovery of biomarkers that could inform treatment strategies and enable potential future diagnostic development." The work will initially support oncology clinical research studies focused on antibody-drug conjugates and immunotherapy response prediction. These studies are part of 10x's broader effort to explore potential future diagnostic applications of spatial technologies in oncology. Lunit SCOPE IO uses deep learning to analyze whole-slide H&E pathology images and characterize tissue features including tumor and stromal regions, immune-cell distribution, tertiary lymphoid structures and other features of the tumor microenvironment. Used alongside 10x's spatial technologies, these analyses provide additional tissue context that complements molecular profiling in oncology clinical research. * Lunit SCOPE IO is for research use only. Not for use in diagnostic procedures. About Lunit Founded in 2013, Lunit (KRX: 328130) is a global leader on a mission to conquer cancer through AI. Our clinically validated solutions span medical imaging, breast health, and biomarker analysis, empowering earlier detection, smarter treatment decisions, and more precise outcomes across the cancer care continuum. Lunit offers a comprehensive suite spanning risk prediction and early detection to precision oncology. Our FDA-cleared Lunit INSIGHT Breast Suite and breast health solutions support cancer screening in thousands of medical institutions worldwide, while the Lunit SCOPE platform is used in research partnership with global pharma and laboratory leaders for biomarker research, and companion diagnostic development. Trusted by over 10,000 sites in more than 65 countries, Lunit combines deep medical expertise with continuously evolving datasets to deliver measurable impact for patients, clinicians, and researchers alike. Headquartered in Seoul with global offices, Lunit is driving the worldwide fight against cancer. Learn more at lunit.io. About 10x Genomics 10x Genomics is a life science technology company building products to accelerate the mastery of biology and advance human health. Our integrated research solutions include instruments, consumables and software for single cell and spatial biology, which help academic and translational researchers and biopharmaceutical companies understand biological systems at a resolution and scale that matches the complexity of biology. Our products are behind breakthroughs in oncology, immunology, neuroscience and more, fueling powerful discoveries that are transforming the world's understanding of health and disease. To learn more, visit 10xgenomics.com or connect with us on LinkedIn, X, Facebook, Bluesky or YouTube. SOURCE Lunit Published by News Desk · WeeklyReviewer The WeeklyReviewer news desk monitors breaking developments around the clock - sourcing, verifying, and publishing real-time industry news across business, technology, politics, science, sports, and world affairs. Every story that comes through the Live Wire is reviewed for accuracy before publication, keeping our readers ahead of the curve without the noise.

PR Newswire APAC
Sep 8th, 2026
Lunit unveils new ai-powered tumor microenvironment insights in Lung Cancer at WCLC 2026.

Lunit unveils new ai-powered tumor microenvironment insights in Lung Cancer at WCLC 2026. 2026-09-08 21:00 205 Three studies explore the relationship between tumor microenvironment, genomic alterations, and treatment response in non-small cell lung cancer using AI-based analysis SEOUL, South Korea, Sept. 8, 2026 /PRNewswire/ - Lunit (KRX:328130), a leading provider of AI for cancer diagnostics and precision oncology, today announced the presentation of three studies at the 2026 World Conference on Lung Cancer (WCLC 2026), to be held in Seoul, South Korea, from September 12 to 15. Across the three studies, Lunit researchers and collaborators leveraged AI-based analysis to investigate the tumor microenvironment (TME) in non-small cell lung cancer (NSCLC), exploring its relationship with genomic characteristics and treatment response. In the first study, researchers used Lunit SCOPE IO to analyze 494 hematoxylin and eosin (H&E)-stained whole-slide images from EGFR-mutant NSCLC cases, identifying distinct TME characteristics across mutation subtypes. Exon 19 deletion (Ex19del) tumors showed significantly lower intratumoral tumor-infiltrating lymphocyte (TIL) density, while L858R tumors showed relative enrichment of both TIL and macrophage infiltration, and exon 20 insertion (Ex20ins) tumors demonstrated higher endothelial cell density. The findings suggest that differences in treatment outcomes across EGFR mutation subtypes may involve not only kinase kinetics but also subtype-specific characteristics of the TME. In another study, conducted in collaboration with Paola Nisticò, M.D., of the Regina Elena National Cancer Institute in Rome, Italy researchers combined Lunit SCOPE IO with spatial transcriptomics and high-plex spatial proteomics to analyze 32 NSCLC patients treated with neoadjuvant chemo-immunotherapy. The study was conducted through the Lunit Research Program for SITC Members, which provides eligible Society for Immunotherapy of Cancer (SITC) members with research access to Lunit SCOPE IO for AI-powered tumor microenvironment analysis in cancer immunotherapy research. Tumors from patients who achieved pathological complete response (pCR) showed a highly inflamed and spatially organized microenvironment with prominent tertiary lymphoid structures (TLS), while non-pCR tumors were characterized by immune exclusion and activated fibroblast-rich stroma. The findings highlight distinct spatial and immunological features associated with pathological response and support further investigation of spatially resolved biomarkers. The third study evaluated an H&E-based AI model for predicting TP53 mutation status in lung adenocarcinoma. Validated in an independent cohort of 462 cases, the model achieved an area under the receiver operating characteristic curve (AUROC) of 0.759, with 82% sensitivity and 63% specificity. TME analysis further showed that TP53-mutant tumors were more frequently immune-inflamed, while TP53-wild-type tumors were characterized by immune exclusion and higher stromal fibroblast and endothelial cell densities. The findings highlight the potential of H&E-based AI as a screening tool to enrich for patients with TP53 mutations who may be eligible for emerging clinical trials targeting specific TP53 variants. "These studies demonstrate the expanding potential of AI-based analysis to generate deeper insights into lung cancer biology, from genomic characteristics and the tumor microenvironment to features associated with treatment response," said Brandon Suh, CEO of Lunit. "By broadening the range of insights that can be derived from routinely available pathology images, we aim to advance AI-powered biomarker discovery and patient stratification, ultimately contributing to more personalized treatment strategies for patients with cancer." Lunit's presentations at WCLC 2026 include: About Lunit Founded in 2013, Lunit (KRX: 328130) is a global leader on a mission to conquer cancer through AI. Its clinically validated solutions span medical imaging, breast health, and biomarker analysis - empowering earlier detection, smarter treatment decisions, and more precise outcomes across the cancer care continuum. Lunit offers a comprehensive suite spanning from risk prediction and early detection to precision oncology. Its FDA-cleared Lunit INSIGHT Breast Suite and breast health solutions support cancer screening in thousands of medical institutions worldwide, while the Lunit SCOPE platform is used in research partnership with global pharma and laboratory leaders for biomarker research, and companion diagnostic development. Trusted by over 10,000 sites in more than 65 countries, Lunit combines deep medical expertise with continuously evolving datasets to deliver measurable impact - for patients, clinicians, and researchers alike. Headquartered in Seoul with global offices, Lunit is driving the worldwide fight against cancer. Learn more at lunit.io.

CAP Today
May 29th, 2026
Leica Biosystems, Indica Labs partner with Lunit.

Leica Biosystems, Indica Labs partner with Lunit. May 29, 2026 - Leica Biosystems, Indica Labs, and Lunit are partnering to develop AI-powered image analysis algorithms. The collaboration will focus on PD-L1 and emerging immunohistochemistry biomarkers and brings together Leica Biosystems' PD-L1 IHC assay platform, Aperio GT 450 digital pathology scanner, Aperio Halo AP image management solution, and Lunit Scope biomarker scoring algorithm to deliver an AI-powered pathology workflow. The companies say the integrated workflow will support pharmaceutical partners conducting clinical research. "By combining Leica Biosystems' expertise in IHC staining and digital pathology, Indica Labs' image management platform, and Lunit's advanced AI analysis, the partnership aims to support consistent scoring approaches, enable robust biomarker analysis, and accelerate research," according to a joint press statement from the companies. The first product is an AI-powered Lunit Scope algorithm designed for Leica Biosystems' PD-L1 primary antibody (CAL10). The new algorithm, Lunit Scope PD-L1 CAL10 NSCLC, is for research use only and available now through Leica Biosystems' Aperio AI Store.

INDICA LAB
May 26th, 2026
Industry leaders Leica Biosystems, Indica Labs and Lunit partner to develop ai-powered computational pathology Assays for PD-L1 and emerging biomarkers.

Industry leaders Leica Biosystems, Indica Labs and Lunit partner to develop ai-powered computational pathology Assays for PD-L1 and emerging biomarkers. Building on the market-defining computational pathology partnership between Leica Biosystems and Indica Labs, this new collaboration integrates Lunit's advanced AI capabilities into the best-in-class IHC staining and digital pathology ecosystem. VISTA, California, ALBUQUERQUE, New Mexico, and SEOUL, South Korea - May 26, 2026 - Leica Biosystems, a Danaher company and a global leader in end-to-end anatomic and digital pathology solutions, and Indica Labs, a global leader in AI-powered digital pathology software, today announced a strategic collaboration with Lunit (KRX:328130.KQ), a leading provider of AI solutions for cancer diagnostics and therapeutics, to develop AI-powered image analysis algorithms. The partnership will focus on PD-L1 and emerging immunohistochemistry (IHC) biomarkers, supporting scalable and consistent biomarker quantification through computational pathology tools. The first product is an AI-powered Lunit SCOPE algorithm designed for Leica Biosystems' PD-L1 primary antibody (CAL10). The new algorithm, Lunit SCOPE PD-L1 CAL10 NSCLC[1], is now available through Leica Biosystems' Aperio AI Store. In driving this collaboration, Leica Biosystems will work together with Indica Labs and Lunit to support pharmaceutical partners in integrating AI-enabled digital pathology into routine clinical research. Today, biomarker scoring remains highly variable, as disease state assessments and treatment decisions often rely on manual evaluation of stained tissue under a microscope. This process can be time-consuming and prone to human variability. By combining Leica Biosystems' expertise in IHC staining and digital pathology, Indica Labs' image management platform, and Lunit's advanced AI analysis, the partnership aims to support consistent scoring approaches, enable robust biomarker analysis, and accelerate research workflows. The partnership brings together Leica Biosystems' PD-L1 IHC assay platform[1], Aperio GT 450 digital pathology scanner[1], Aperio HALO AP image management solution[2], and now Lunit SCOPE biomarker scoring algorithm[1] to deliver a seamless, AI-powered pathology workflow. "As a first step, we're integrating Lunit's algorithm directly into our image management software powered by Indica Labs, which enables a continuous workflow for users of the Aperio GT 450 scanner," said Karan Arora, SVP of Advanced Assays, AI, and Pharma Partnerships at Leica Biosystems. "This launch aligns with our long-term vision to deliver scalable, seamlessly integrated research workflows to the market." This three-way integration reflects a shared commitment to open pathology and interoperability. Indica Labs CEO Steven Hashagen emphasized that "robust end-to-end solutions like these are a critical step toward realizing the promise of AI in digital pathology." Brandon Suh, CEO of Lunit, added, "We are encouraged by the strong interest from pharmaceutical partners and excited about the potential this collaboration holds. Together, we're applying AI to pathology image analysis at unprecedented scale, with a shared goal of delivering precision diagnostics that translate into tangible improvements in patient care." [1] For research use only. Not for use in diagnostic procedures. [2] Aperio HALO AP(R) is CE-IVDR marked for in vitro diagnostic use in Europe, the UK, and Switzerland. Aperio HALO AP(R) is for research use only in the US and is not FDA cleared for clinical diagnostic use. About Leica Biosystems Leica Biosystems is a cancer diagnostics company and a global leader in end-to-end anatomic and digital pathology solutions. The company offers a comprehensive product range for each step in the pathology process, from sample preparation and staining to imaging and reporting. As the only company to own the full workflow from biopsy to diagnosis, Leica Biosystems is uniquely positioned to break down the barriers between each step. The company's mission of 'Advancing Cancer Diagnostics, Improving Lives' is at the heart of its corporate culture. Leica Biosystems is proud to be a Danaher Corporation subsidiary. Learn more at www.leicabiosystems.com. About Indica Labs Indica Labs is the global leader in AI-powered digital pathology software and services. Its flagship HALO and HALO AI platform revolutionizes quantitative evaluation of whole slide images. HALO Link provides collaborative image management while HALO AP and HALO AP Dx deliver enterprise digital pathology for primary diagnosis with regulatory clearances in multiple markets. Through a commitment to open pathology, performance, scalability, and ease-of-use, Indica Labs Inc. help pharma companies, diagnostic labs, hospitals, research organizations, and Indica's own Cloud and Pharma Services make discoveries and diagnoses that transform patient care and scientific discovery. About Lunit Founded in 2013, Lunit (KRX:328130.KQ) is a global leader in AI for cancer diagnostics and therapeutics. With a mission to conquer cancer through AI, Lunit develops AI-powered solutions for medical imaging and biomarker analysis to enable precise diagnosis and personalized treatment. Lunit's FDA-cleared Lunit INSIGHT suite supports cancer screening at over 6,500 medical institutions in more than 65 countries, while Lunit SCOPE is used in research partnerships with global pharma giants focused on biomarker development and companion diagnostics. Lunit clinical studies have been featured in top-tier journals - including The Lancet Digital Health and Journal of Clinical Oncology - and presented at major conferences such as ASCO and RSNA. Headquartered in Seoul with global offices, Lunit is driving the worldwide fight against cancer. Learn more at lunit.io. About Danaher Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. Through its connected ecosystem of industry-leading businesses, Indica Labs Inc. work side by side with customers to solve their most complex scientific and clinical challenges - helping move innovations from discovery to delivery faster for patients who depend on them. Powered by the Danaher Business System, its advanced science and technology and proven ability to innovate help enable faster, more accurate diagnoses and reduce the time, cost, and risk required to discover, develop, and deliver life-changing therapies. Through continuous improvement and operational excellence, its approximately 60,000 associates worldwide are focused on delivering lasting impact and improving quality of life around the world, while building a healthier, more sustainable tomorrow. Explore more at www.danaher.com.