Tag: Owkin

  • Owkin Launches K Pro: The First Agentic AI Co-Pilot for Biopharma Powered by Biological Reasoning Models

    – Enterprise platform, queried through natural language, to help pharma, biotech, and investors make better decisions.
    – High-quality biological patient data, enriched and integrated for use by AI agents.

    Owkin today announces the launch of K Pro, its co-pilot bringing advanced agentic AI to biomedical research and drug development. K Pro helps pharmaceutical companies and biotechs make smarter decisions across the discovery and development pipeline, increase clinical success rates, and deliver decision-grade, data-driven biological insights fast enough to change program trajectories.

    Owkin K Pro

    Owkin K Pro
    Owkin K Pro – the Agentic AI Co-Pilot for Biopharma

    Built on a decade of Owkin’s AI innovation and in close collaboration with leading academic and industry partners, K Pro is a scientist-first co-pilot, accessible to both researchers and executives. Through natural language interaction, users can ask complex biological questions and receive actionable, clinically relevant answers, unifying fragmented workflows into an insight-driven research experience.

    At its core, K Pro integrates Owkin Zero, a fine-tuned biological LLM that performs biological reasoning with higher performance than other leading LLMs (read the full paper). Leveraging high-quality, multimodal biomedical datasets, K Pro gives researchers access to one of the deepest, curated, AI-ready multimodal oncology datasets available (including MOSAIC). Biopharma and academic clients can securely upload their proprietary datasets to leverage K Pro’s advanced AI reasoning and data analysis.

    Thomas Clozel, MD, Owkin Co-founder and CEO, said: “K Pro brings us closer to intelligence that evolves with the complexity of biology. By combining advanced biological reasoning with an agentic co-pilot architecture, it represents a key step towards our mission of achieving Biological Artificial Super Intelligence (BASI), AI capable of modelling and engineering biology beyond what humans are capable of to deliver transformative therapies to patients faster.”

    K Pro has already accelerated internal drug target identification by 70% (from 12+ months to 3 months); built an IND-ready asset positioning strategy in hours instead of months of traditional analysis; and written a specialist review in one day, which was later published in a peer-reviewed scientific journal.

    K Pro builds upon Owkin’s proven approach to agentic AI biomedical discovery, validated through collaborations with leading pharmaceutical companies including AstraZeneca, Bristol Myers Squibb and Sanofi.

    Ben Mellows, managing director at the biotech company Micregen, used Owkin K to formulate his investor pitch and shared his experience: “We wanted to get our product pitch across to investors. That process could take weeks to work through with all of our experts, but Owkin K really helped. It assimilated all the information we provided evidencing how our regenerative stem cell-derived platform and products could have a major impact on healthcare and delivered a clear story tailored to investors from different backgrounds. The literature set is huge. I would say the task would have been nearly impossible to achieve at the scale that Owkin K handled in just a few work sessions.”

    Owkin’s AI has already delivered results for pharmaceutical clients, including: preventing Phase 2 clinical trial futility by identifying high-risk combination therapy populations; discovering new multimodal disease endotypes; reducing trial duration by three years (35%) by identifying the right patient segment to inform enrolment and identifying novel oncology targets.

    About Owkin:
    Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI co-pilot and its new LLM finetuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.

    About the State of Agentic AI in Biopharma Report:
    To ensure K Pro addresses the real-world challenges facing pharma, Owkin partnered with STAT Brand Studio to produce the State of the Nation report, surveying over 200 pharma executives (full report here). Nearly half of respondents identified overcoming data challenges as the area where agentic AI could deliver the greatest value. Early discovery, clinical trial optimisation, and translational research were also highlighted as top priorities, underscoring the immediate need for agentic AI solutions that translate complex biomedical data into actionable insights.

    Contact Information
    Alistair Jennings
    Marketing Director: Content
    alistair.jennings@owkin.com
    +447983972126.

    SOURCE: Owkin

  • Owkin Receives European Medicines Agency Letter of Support for Innovative AI-Driven Approach to Oncology Trial Analysis

    Owkin Receives European Medicines Agency Letter of Support for Innovative AI-Driven Approach to Oncology Trial Analysis

     

    • EMA offers endorsement for AI optimization of clinical trials. Two Owkin AI models significantly improve the discrimination accuracy for overall survival in hepatocellular carcinoma and mesothelioma. Owkin to develop on-demand prognostic scores for other indications to further reduce clinical trial failure rates

    AI Biotech Owkin, a leading provider of AI-powered solutions for drug discovery and clinical development, has received a letter of support from the European Medicines Agency (EMA) regarding their proposed statistical adjustment on deep learning prognosis covariates obtained from histological slides. The proposed method uses the predictions of two deep-learning models, MesoNet and HCCnet, as prognostic biomarkers for the adjustment of efficacy analysis on the overall survival of life-prolonging drugs in randomized phase 2 and phase 3 clinical trials.

    EMA endorsement of AI optimization of clinical trials

    MesoNet and HCCnet are proprietary deep-learning models trained using digitized pathology imaging from mesothelioma and hepatocellular carcinoma (HCC) patients to predict overall survival. The training is performed with an algorithm that uses pre-trained models to extract information from images and focuses on small regions of the biopsy that are most relevant to prediction. The models brought a significant improvement in prognostic performance for overall survival when added to currently used stratification factors.

    The proposed context of use is to apply the deep-learning models’ predictions as prognostic biomarkers for the adjustment of efficacy analysis on overall survival of life-prolonging drugs in randomized phase 2/3 clinical trials. The MesoNet predictions will be used to adjust efficacy analysis on the overall survival of life-prolonging drugs in first-line malignant pleural mesothelioma patients in randomized phase 2/3 clinical trials. The HCCnet predictions will be used to adjust efficacy analysis on the overall survival of life-prolonging drugs in the adjuvant setting for resected hepatocellular carcinoma patients in randomized phase 2/3 clinical trials.

    The EMA recognizes that the proposed AI models’ main proposed strength is the gain in prognostic performance compared to current practice’s covariate adjustment in clinical trial settings. The models’ interpretability features allow researchers to understand the salient features that informed the model’s prediction and avoid the drawbacks of black box AI models. However, the evidence base for the AI model approach as new technology is limited compared to traditional approaches. Therefore, Owkin is encouraged to use their approach in future trials and do additional prospective validation.

    Felix Balazard, Director of Optimized Development at Owkin said: “This EMA letter of support offers a clear regulatory path for integrating AI models based on histopathology into the analysis of randomized clinical trials. Owkin is bringing AI to the regulatory setting.”

    Covariate adjustment has been endorsed by regulatory agencies like the EMA and FDA, and Owkin believes that its data-driven approach to this statistical method can significantly improve the success rates of trials, including the ongoing mesothelioma and HCC trials. With Owkin’s Federated Research Network, it can develop on-demand prognostic scores for other indications, which can further reduce clinical trial failure rates.

    Contact Information
    Antonia Trower
    VP of Marketing
    antonia.trower@owkin.com
    +447539359014