Articles from Genialis

Genialis, the RNA biomarker company, today announced that Swiss-based biopharmaceutical company Debiopharm has deployed the Genialis™ Expressions software platform within its cloud infrastructure to support biomarker discovery and multiomics data analytics. The agreement extends the companies’ multi-year collaboration and provides Debiopharm access to Genialis’ integrated technology stack for raw data processing and AI-driven biomarker modeling.

Genialis, the RNA biomarker company, today announced a collaboration with Cleveland Clinic, one of the world’s leading academic medical centers, to develop AI-powered tools that help doctors identify the most effective treatment options for patients with pancreatic ductal adenocarcinoma (PDAC), the most common and deadliest form of pancreatic cancer.

Genialis, the RNA biomarker company, today announced an extension of its collaboration with Debiopharm, a Swiss-based global biopharmaceutical company, to develop a predictive biomarker for WEE1-targeted therapy. This extension builds on a 2024 agreement to define and discover biomarkers within the DNA damage response (DDR) biological space to predict the clinical benefit of one or more drugs in Debiopharm’s pipeline. Debiopharm’s WEE1 asset is currently in Phase 1 clinical research and is being studied in monotherapy and in combination in collaboration with international partners.

Genialis, the RNA biomarker company, today announced two new studies demonstrating how predictive algorithms can drive better outcomes for patients, providers, and drug developers. In poster presentations at the American Association for Cancer Research (AACR) Annual Meeting 2025, Genialis showed its AI foundation model of cancer—the Genialis™ Supermodel—can predict how a patient will respond to a specific therapy (Abstract 3313 / 16). The Supermodel can also help explain how drugs work in the body and how the tumor learns to resist treatment, as well as propose potential new drug combinations to improve outcomes. The AACR presentations share these insights from Genialis’ own work with KRAS G12C NSCLC patient data and its collaboration with Debiopharm on the Debio 0123 WEE1 inhibitor in various cancer types. (Abstract 3659 / 21)

Genialis, the RNA biomarker company, today announced the commercial availability of Genialis™ krasID, the first biomarker algorithm that can predict patient response and clinical benefit to KRAS inhibitors (KRASi) across tissue histology and mutation type. Genialis krasID can help guide drug development from early preclinical phases (e.g., compound/MOA differentiation and selection), to clinical trials (e.g., patient selection for clinical trials and identification of combination therapies), to market access and clinical care (e.g., development of CDx and as a clinical decision tool). Genialis first revealed the potential of krasID at AACR 2024, and since, under its early access program, has engaged numerous top pharmaceutical companies and biotechs to evaluate the biomarker for their development programs.

Genialis, the RNA-biomarker company, today announced the appointment of Krista McKerracher as Chairperson of the Board of Directors. McKerracher is a seasoned biopharmaceutical leader passionate about bringing new medicines to patients with life-threatening diseases. Her background includes almost three decades at Johnson & Johnson and Novartis Oncology, where she held senior commercial and senior R&D leadership roles and launched several first-in-class drugs in the hematology/oncology space. McKerracher rounded out her drug development career at CRISPR Therapeutics, where she led the team that brought the first CRISPR Cas9 ex-vivo gene editing product to the clinic (HbF edited stem cells for hemoglobinopathies.)

Genialis, the RNA-biomarker company, today announced a new partnership with the Pancreatic Cancer Action Network (PanCAN) to expand the validation of the Genialis™ krasID biomarker in the pancreatic cancer histology. Genialis krasID is a new Artificial Intelligence classifier that accurately predicts response and clinical benefit to KRAS inhibitors across preclinical, clinical, and real-world settings. The announcement was made today at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting, being held in Chicago from May 31 to June 4.

Genialis, the RNA-biomarker company, today presented a poster on a new AI/ML classifier, Genialis™ krasID, that accurately predicts clinical benefit in a real-world cohort of patients who received sotorasib, a KRAS inhibitor currently approved for KRAS G12C non-small cell lung cancers. Genialis presented additional findings on the performance of the biomarker in predicting drug response across preclinical models and real-world clinical benefit at the American Association for Cancer Research (AACR) 2024 Annual Meeting in San Diego on April 5-10, 2024.

Genialis, the RNA-biomarker company, and Debiopharm, a privately-owned, Swiss-based biopharmaceutical company aiming to establish tomorrow’s standards of care to cure cancer and infectious diseases, have reached an agreement to define and discover biomarkers within the DNA Damage Repair (DDR) biology space to predict the clinical benefit of one or more drugs in Debiopharm’s pipeline. The initial phase kicked off this month, deploying Genialis’ biology-first, machine learning-enabled ResponderID framework to develop predictive biomarkers for DDR-directed therapies.

Genialis, the RNA-biomarker company, today announced new data detailing how RNA sequencing data can help elucidate tumor biologies that may be amenable to immunotherapies and targeted agents. The information was presented in two posters at the Society for Immunotherapy of Cancer's (SITC) 38th Annual Meeting.

Genialis, the RNA-biomarker company, today announced the addition of several new team members as the company works to improve healthcare and deliver the best possible outcomes for patients, their families and communities. Among the new additions are Aditya Pai, head of business development, who spent over a decade at IBM scaling Watson for Genomics; and Mark Uhlik, who joins as the new head of biomarker development after serving as head of research and biomarker discovery at OncXerna, with previous roles at HiberCell and Eli Lilly.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to treat disease, today released Genialis(™) Expressions version 3.0 to accelerate translational and clinical biomarker discovery. Expressions is a platform for the analysis and management of sequencing data that makes data querying and processing faster, smarter, and more secure. Designed around FAIR data management principles and bioinformatics best practices, the new Expressions delivers leading-edge UX enhancements including 10-100x increased responsiveness. Leveraging microservices via Kubernetes and adaptive AWS resources has improved scalability and cost-effectiveness, allowing users to process hundreds of concurrent transactions with exacting computational resources. The version launch of Expressions follows Genialis’ recent close of $13M Series A financing, announced in March 2023.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, today announced it raised more than $13 million in Series A financing to transform the way diseases are diagnosed and treatment decisions are made. Taiwania Capital and Debiopharm Innovation Fund co-led the round, with participation from previous investors First Star Ventures, Redalpine Venture Partners, and Pikas. Other new investors include P5 Health Ventures and several Angels. Ita Lu of Taiwania and Hamzeh Abdul-Hadi of Debiopharm will join Genialis’ Board of Directors.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, is presenting new data and results this week from its biomarker discovery platform, ResponderIDTM. At the Society for Immunotherapy of Cancer (SITC) annual meeting, Genialis Chief Discovery Officer Luka Ausec, Ph.D. is co-presenting a poster with Exact Sciences and OncXerna Therapeutics titled, “Xerna tumor microenvironment subtypes as a biomarker in lung cancer patients.” The XernaTM TME Panel is a novel, gene expression-based biomarker to help determine disease subtype and inform treatment options for many solid tumors. The poster explores the relationship between Xerna TME subtypes and DNA-based (e.g. gene variants) biomarkers in NSCLC.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, today announced an update to its ResponderID platform, including major innovations to its data flywheel that optimizes the interoperability of datasets for disease modeling. The patent-pending technology helps link Genialis Expressions, the FAIR-inspired data management and bioinformatics processing software suite with ResponderID, and facilitates the broad deployment of biomarker models across different disease indications and gene expression profiling systems.

Genialis, a leader in applied data science for the development of precision medicines, today announced an update to Expressions(™), the FAIR-inspired data management and bioinformatics processing software suite, to make analyzing and querying data faster, smarter and safer. With this new release, Genialis has dramatically improved the software for NGS data processing, management and visualization by increasing analysis speed and computational efficiency. Genialis has further added to the completeness of the underlying knowledge base and library of validated multi-omics pipelines. All improvements are aligned with the goal of improving security and maintaining Genialis’ long-standing ISO 27001 certification.

Genialis, a leader in applied data science for the development of precision medicines, today announced it will leverage its proprietary ResponderID AI platform technology to provide retrospective analysis to customers and collaborators to help classify patients for targeted therapy using the OncXerna Xerna™ TME Panel, an RNA-based pan-tumor biomarker shown to be predictive of responses to multiple immune-targeted cancer therapies.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, today announced it will work with Inhibrx in an effort to develop a predictive biomarker for INBRX-109 in solid tumors. Genialis will utilize its AI/ML clinical biomarker discovery platform, ResponderID™, to help Inhibrx identify features for potential patient stratification and model the underlying biologies that predict response to the drug candidate.

Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, today announced the launch of ResponderID™, a new AI/ML-enabled platform specifically for use in clinical biomarker discovery. ResponderID may be implemented to support Pharma drug pipelines and diagnostic test product portfolios from conception to market.

Genialis, a leader in applied data science for the development of precision medicines, today announced it has received a grant to co-finance the development of groundbreaking biomarker discovery technologies. The award from the Slovenian Research Agency contemplates support for the collaboration between BioLab (University of Ljubljana) and Genialis through 2023. This comes on the heels of Genialis’ discovery of several novel technologies in pursuit of machine-learning-enabled clinical biomarkers. The sponsored research compliments Genialis’ own internal R&D program, providing additional expertise, tooling and talent.

Genialis, a leader in applied data science for the development of precision medicines, today announced the addition of new team members to help advance its mission to ensure the success of today's most promising drugs and discover tomorrow's potential lifesavers. The new hires augment the company’s domain expertise in many facets of clinical data science. Genialis' AI-enabled biomarker discovery platform serves as an end-to-end solution that de-risks clinical development, but also drives early discovery and supports translational investigations.

Genialis, a leader in applied data science for the development of precision medicines, today announced its contributions to a biomarker platform and panel that demonstrated prognostic capabilities for recurrence-free and overall survival in colorectal cancer (CRC). In a poster presentation (#348) at the virtual AACR Annual Meeting 2021: Discovery Science Driving Clinical Breakthroughs, Genialis helped support the evaluation of OncXerna Therapeutic’s Xerna™ platform and TME Panel, an RNA-based pan-tumor biomarker, in two gene expression datasets—one from 566 patients and the other from 93 patients. This novel diagnostic and prognostic platform uses a proprietary set of biomarker genes, RNA-based gene expression data, and machine learning to classify patients based on the dominant biologies of the tumor microenvironment.