Articles from Nucleai

Nucleai, a leader in AI-powered multimodal spatial biology, today announced its contribution to a collaborative international study published in Nature Communications that explores how spatial organization and metabolic characteristics of tumor cells are associated with response and resistance to immunotherapy in non-small cell lung cancer (NSCLC).

Nucleai, a leader in AI-powered spatial biology for precision medicine, and the University of Glasgow, a global leader in spatial proteomics and transcriptomics research, today announced a collaboration to identify and validate predictive biomarkers for colorectal cancer (CRC) and advanced polyp incidence. The project leverages artificial intelligence and multimodal spatial biology data, combining tissue, molecular, and clinical data to improve patient risk stratification and early detection.

Nucleai, an AI-powered spatial biomarker and diagnostics company, will showcase its expanded suite of solutions for antibody-drug conjugate (ADC) clinical trials at the 2025 American Society of Clinical Oncology (ASCO) Annual Meeting, held this week from May 30-June 3 in Chicago, IL. Recent studies have demonstrated that AI-powered computational pathology and spatial biomarkers can predict ADC treatment response more accurately than standard pathological scores, enabling ADC developers to derisk their drug development programs by designing biomarker-informed clinical trials. Nucleai’s commercially available ADC suite of solutions unlocks unparalleled granularity for ADC developers, including high sensitivity for low levels of biomarker expression as well as detecting subcellular protein expression.

Nucleai, an AI-powered spatial biomarker and diagnostics company, today announced the launch of its deep learning model that automates the normalization of high-plex imaging data, a foundational step within the spatial proteomics workflow. Nucleai offers tools that support spatial profiling of protein expression and immune cell interactions, including cell architecture and neighborhoods, to support the development of antibody-drug conjugates (ADCs), bispecifics, and immunotherapies. Designed to rapidly analyze dozens of protein markers in a single image, the new model is almost 20 times faster than manual methods and automatically adjusts protein signal intensities within and across patients to compare expression levels with greater precision.

Nucleai, an AI-powered spatial biology company, will present two abstracts at the Society for Immunotherapy of Cancer (SITC) 2024 Annual Meeting. The presentations will detail how Nucleai's AI-driven spatial biomarker analysis provides actionable insights into patient treatment for non-small cell lung cancer (NSCLC) and melanoma, focusing on treatment resistance and patient stratification.

Nucleai, a spatial AI biomarker company that deciphers cellular conversations and maps cellular interactions within tissue samples to predict therapeutic outcomes, announced today the expansion of its executive leadership team with the appointment of Vikas Ahuja as Vice President of Strategic Partnerships. With over 20 years of experience in life sciences, Ahuja will be responsible for building an ecosystem of partners—including diagnostic companies, contract research organizations (CROs), assay and instrument vendors, and software companies—that will enable Nucleai’s AI platform to be deployed at scale for late-stage clinical trials and diagnostic applications.

Nucleai, a spatial AI biomarker company that deciphers cellular conversations and maps cellular interactions within tissue samples to predict therapeutic outcomes, today announced a strategic collaboration with GoPath Diagnostics, a leading full-service digital pathology and molecular diagnostics laboratory. This collaboration aims to offer AI-powered digital pathology solutions for clinical trials and diagnostics and foster innovative research by combining Nucleai’s expertise in spatial biology and AI with GoPath’s access to multi-modal real-world data, world-class lab services, and cutting-edge molecular capabilities.

Nucleai, a spatial AI biomarker company that deciphers cellular conversations and maps cellular interactions within tissue samples to predict therapeutic outcomes, will showcase its developments in cancer research and diagnostics at the American Association for Cancer Research (AACR) Annual Meeting in San Diego, California from April 5-10, 2024. Nucleai's posters will highlight novel AI spatial biomarkers and enhanced histopathology workflows that promise to revolutionize cancer treatment and diagnostics.

Nucleai, a spatial AI biomarker company that deciphers cellular conversations and maps cellular interactions within tissue samples to predict therapeutic outcomes, has secured a $14 million investment led by M Ventures, the corporate venture capital arm of Merck KGaA, Darmstadt, Germany, and supported by existing investors, bringing the total funding to $60 million. The investment enables Nucleai to further deploy its AI algorithms for the prospective enrollment of patients in clinical trials – a first in the field and a significant advancement in personalized solutions tailored to the distinct needs of patients.

Nucleai, a leading provider of artificial intelligence (AI) solutions for pathology and spatial biology, and Mayo Clinic BioPharma Diagnostics are pleased to announce a strategic collaboration to bring world-class digital pathology solutions, technologies, and services to support drug development and clinical practice. This collaboration combines Nucleai’s AI-powered spatial biology technology with Mayo’s longitudinally annotated, multi-modal data sets, world-class lab services, and clinical diagnostic footprint.

Nucleai, a leader in AI-powered spatial biology, and Adlai Nortye, a global biopharmaceutical company focused on developing innovative immuno-oncology therapies, today announced a strategic partnership to identify, validate and test novel H&E-based biomarkers across Adlai Nortye’s Phase 2 and 3 clinical trials. The collaboration will initially focus on identifying subjects that could derive benefit from Buparlisib treatment in metastatic Squamous Cell Carcinoma of Head and Neck (SCCHN) patients and will expand to other indications and clinical trials.

Nucleai, a leader in AI-powered spatial biology, today announced the two key appointments to its leadership team and scientific advisory board. Pharmaceutical industry veteran Oscar Puig, Ph.D. has been named the VP of Translational Medicine & Diagnostics at Nucleai, while Suzana Couto, the Head of Pathology at Neomorph Inc, has been appointed as a scientific advisor for the company.

Nucleai, an AI-powered spatial biology leader, announced that Dr. Julian Adams has joined its scientific advisory board. Dr. Adams brings his more than 35 years of experience in oncology research and development to his role as an advisor to Nucleai, which is recognized as one of the top startups to watch in the spatial biology field. His distinguished career in the pharmaceutical and biopharmaceutical industry includes senior leadership roles at Millennium Pharmaceuticals (now part of Takeda Oncology), Infinity Pharmaceuticals, Boehringer Ingelheim, and Gamida Cell.

Nucleai, a leader in AI-powered spatial biology, today announced the expansion of its spatial biology platform to include a new generation of multiplex immunofluorescence (mIF) analysis that uses deep learning to establish new levels of accuracy, speed, and generalizability, further unlocking the power of mIF data for drug discovery and development. Nucleai will present new data demonstrating the power of its new mIF pipeline to correlate spatial features with patient outcomes in colorectal cancer (CRC) at the Society for Immunotherapy of Cancer (SITC) conference in Boston this week.

Propath UK, Europe’s leading CRO for spatial biology, and Nucleai, a leader in AI-powered spatial biology transforming precision medicine by unlocking spatial biology insights from pathology data, announce their collaboration to develop and validate a 30-plex immunofluorescence (IF) panel focused on protein targets relevant to immuno-oncology. For our pharmaceutical and biotechnology partners, this groundbreaking panel, in conjunction with Nucleai's validated AI assay, can be used to unlock insights from immunotherapy trials and inform the development of novel biomarkers and companion diagnostics (CDx).

Lunaphore, a Swiss life sciences company developing technology to enable spatial biology in every laboratory, and Nucleai, a leader in AI-powered spatial biology transforming precision medicine by unlocking the power of pathology data, today announced a collaboration to accelerate the discovery of novel biomarkers and drug targets using the latest spatial imaging and machine learning technologies.

Nucleai, a leader in AI-powered spatial biology transforming precision medicine by unlocking the power of pathology data, today announced new data showing that the deep learning capabilities of the Nucleai platform accurately analyzed and classified the spatial arrangement of immune cells in the tumor microenvironment (TME) to identify metastatic non-small cell lung cancer (mNSCLC) patients who are likely to benefit from pembrolizumab, an immune checkpoint inhibitor (ICI) therapy. This work is part of several ongoing studies examining the spatial arrangement of immune cells in the TME and the significance of this research is its potential to identify new predictive spatial immune signatures in a large-scale, multi-site patient dataset.

Nucleai, a leader in AI-powered spatial biology transforming precision medicine by unlocking the power of pathology data, today announced the appointment of Kenneth J. Bloom, MD, FCAP as the company’s new head of pathology. Dr. Bloom brings more than 35 years of clinical experience in pathology, oncology, telemedicine and bioinformatics to this critical role at Nucleai.

Nucleai, a leader in AI-powered spatial biology transforming precision medicine by unlocking the power of pathology data, and Sirona Dx, a leading provider of multiomic single-cell analytical services, today announced a collaboration to advance the discovery of novel spatial biomarkers in solid tumors. The partnership combines Nucleai’s powerful AI spatial analytics platform with Sirona Dx’s leading multiplex assay development expertise to identify novel spatial signatures in high-plex assays that predict response to therapy and inform treatment decisions. Through this strategic collaboration, Sirona Dx will provide Nucleai and its customers with a CRO partner that will enable the deployment of AI-based diagnostic algorithms to support biopharma clinical trials.

Nucleai, an AI-powered spatial biology company with a mission to transform drug development and clinical treatment decisions by unlocking the power of pathology data, today announced that it will share new data at the American Society of Clinical Oncology (ASCO) 2022 Annual Meeting in an online publication on an exploratory analysis of a phase 2 study to find new pathology-based predictive biomarkers for DLBCL, the most common type of Non-Hodgkin’s lymphoma. The meeting is taking place from June 3 to June 7 at McCormick Place in Chicago.

Nucleai, a leader in Artificial Intelligence (AI) powered spatial analysis for pathology, and Ultivue, an industry leader in multiplexing tools for tissue biomarker studies, today announced a collaboration to advance the discovery of novel spatial biomarkers. The partnership will layer Nucleai’s cutting-edge AI spatial models on top of Ultivue’s imaging technology to unlock the complex data hidden within multiplex pathology images, creating insights for translational research teams across Biopharma to expedite drug development.

Nucleai, an AI-powered spatial biology company with a mission to transform drug development and clinical treatment decisions by unlocking the power of pathology data, today announced that it had closed a $33 million Series B financing round, jointly led by Section 32 and Sanofi Ventures. Andy Harrison, Managing Partner at Section 32, and Cris De Luca, Global Head, Digital Investments at Sanofi Ventures, will join Nucleai’s Board of Directors. Section 32 Managing Partner Michael Pellini, MD, will join Nucleai’s Board as an observer. Nucleai plans to use the new funding to further develop its platform and expand its commercial footprint across biopharmaceutical companies and contract research organizations (CROs), who are applying its technology throughout translational research, clinical trials, and novel applications for drug discovery.

Nucleai, a leader in AI-powered spatial biology, and Jefferson Health, a leading cancer center, announce that they have entered into a strategic collaboration to discover spatial immunotherapy biomarkers, leveraging Nucleai’s ATOM platform and Jefferson’s repository of pathology and clinical data. The mutual collaboration will help advance AI-based solutions in discovering histological biomarkers and patient selection in clinical trials and clinical settings. The Israeli Innovation Authority supports the collaboration as part of the International Health-Tech Pilot Program.

Nucleai (www.nucleaimd.com), a precision medicine company using AI-powered image analysis technology to support novel pathology-based biomarker development, and Merck KGaA, Darmstadt, Germany, a leading science and technology company, announced that they have entered into a long-term collaboration to leverage Nucleai's image analysis and biomarker discovery platform for several Merck KGaA, Darmstadt, Germany clinical stage oncology assets.