Bayer and Aignostics Forge Innovative AI-driven Partnership to Advance Precision Oncology

14 March 2024 | Thursday | News

Bayer and Aignostics GmbH, a pioneering force in computational pathology, have unveiled a landmark strategic partnership aimed at revolutionizing precision oncology through cutting-edge artificial intelligence (AI) and machine learning (ML) technologies. This collaboration is set to propel Bayer’s precision oncology portfolio by identifying novel disease targets and expediting the clinical development process. The partnership is a fusion of Aignostics’ trailblazing technology, derived from its origins as a spin-off from the prestigious Charité-Universitätsmedizin Berlin, and Bayer’s extensive experience in oncology therapy development. Together, they plan to create a revolutionary platform for novel target identification, harnessing the power of multimodal patient data and industry-leading AI/ML algorithms. A central aspect of this collaboration involves the development of sophisticated computational pathology algorithms. These algorithms are designed to bridge the gap between molecular tumor profiles and patient outcomes, facilitating more accurate patient identification, stratification, and selection for clinical trials. This innovative approach is anticipated to tackle the current challenges in target discovery and the complexity of disease heterogeneity head-on. Christian Rommel, Member of the Executive Committee of Bayer’s Pharmaceuticals Division and Head of Research and Development, emphasized the potential of integrating AI and ML into precision drug development. “The union of Aignostics' technical expertise and vast patient datasets with Bayer's proficiency in cancer research and development is a promising pathway to unearth discoveries and accelerate clinical development, ultimately delivering more effective treatments to cancer patients,” he stated. The collaboration is structured around a multi-year research agreement with the objective of leveraging longitudinal, multimodal clinical data sets to unearth new oncology targets for conditions with a high unmet medical need. Both companies have committed to initiating at least two target identification programs under the terms of the agreement. Viktor Matyas, CEO of Aignostics GmbH, expressed enthusiasm about the partnership, highlighting the synergistic potential of combining their technology and data with Bayer’s drug discovery and clinical development prowess. “This collaboration is poised to transform the immense potential of AI into tangible healthcare solutions, generating superior therapeutics for patients facing high unmet needs in a fraction of the usual time,” Matyas remarked. As part of the agreement, Aignostics will receive an upfront payment, with additional success-based milestone payments and royalties on any commercialized therapies resulting from the collaboration. This alliance marks a significant step forward in the application of AI and ML in the field of precision oncology, setting a new standard for future research and development endeavors.
Image Source | World Wide Web

Image Source | World Wide Web

Bayer and Aignostics GmbH, a pioneering force in computational pathology, have unveiled a landmark strategic partnership aimed at revolutionizing precision oncology through cutting-edge artificial intelligence (AI) and machine learning (ML) technologies. This collaboration is set to propel Bayer’s precision oncology portfolio by identifying novel disease targets and expediting the clinical development process.

The partnership is a fusion of Aignostics’ trailblazing technology, derived from its origins as a spin-off from the prestigious Charité-Universitätsmedizin Berlin, and Bayer’s extensive experience in oncology therapy development. Together, they plan to create a revolutionary platform for novel target identification, harnessing the power of multimodal patient data and industry-leading AI/ML algorithms.

A central aspect of this collaboration involves the development of sophisticated computational pathology algorithms. These algorithms are designed to bridge the gap between molecular tumor profiles and patient outcomes, facilitating more accurate patient identification, stratification, and selection for clinical trials. This innovative approach is anticipated to tackle the current challenges in target discovery and the complexity of disease heterogeneity head-on.

Christian Rommel, Member of the Executive Committee of Bayer’s Pharmaceuticals Division and Head of Research and Development, emphasized the potential of integrating AI and ML into precision drug development. “The union of Aignostics' technical expertise and vast patient datasets with Bayer's proficiency in cancer research and development is a promising pathway to unearth discoveries and accelerate clinical development, ultimately delivering more effective treatments to cancer patients,” he stated.

The collaboration is structured around a multi-year research agreement with the objective of leveraging longitudinal, multimodal clinical data sets to unearth new oncology targets for conditions with a high unmet medical need. Both companies have committed to initiating at least two target identification programs under the terms of the agreement.

Viktor Matyas, CEO of Aignostics GmbH, expressed enthusiasm about the partnership, highlighting the synergistic potential of combining their technology and data with Bayer’s drug discovery and clinical development prowess. “This collaboration is poised to transform the immense potential of AI into tangible healthcare solutions, generating superior therapeutics for patients facing high unmet needs in a fraction of the usual time,” Matyas remarked.

As part of the agreement, Aignostics will receive an upfront payment, with additional success-based milestone payments and royalties on any commercialized therapies resulting from the collaboration. This alliance marks a significant step forward in the application of AI and ML in the field of precision oncology, setting a new standard for future research and development endeavors.

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