Paige.AI, a new company focused on revolutionizing clinical diagnosis and treatment in oncology through use of artificial intelligence (AI), launches today as it announces two major milestones:
Pathology is the cornerstone of most cancer diagnoses, yet most pathologic diagnoses rely on manual, subjective processes developed more than a century ago. Currently, highly-trained pathologists interpret numerous individual glass slides using a microscope to analyze tissues and cells. For instance, there can be as many as 60 slides in one breast biopsy, though often only a few are relevant to the diagnosis. The manual nature of this work is inherently inefficient and can contribute to diagnostic variability. Technology to convert glass slides to digital images has existed for over a decade, but it has not been broadly adopted because digitization alone does not allow pathologists to improve workflow.
Computational pathology will provide the missing link in the adoption of digital pathology, moving this vital field forward with support tools to help pathologists make decisions with greater speed, accuracy, objectivity and reproducibility – all at a lower cost. Computational pathology is a complete, probabilistic treatment of scientific and clinical workflows, combining experimental design, statistical pattern recognition and survival analysis for a unified framework in answering scientific and clinical questions. The outcome: pathologists’ time will shift from compiling data – literally counting cell nuclei and measuring tumors point-to-point – to focusing on interpreting data and detailing the implications for a patient’s diagnosis and treatment planning.
The company aims to catalyze a fundamental medical AI paradigm shift, transforming pathology and diagnostics from a qualitative to a more rigorous, quantitative discipline.
About Paige.AI
Paige.AI was founded to revolutionize pathology and strengthen this lynchpin of medical diagnostics with quantitative, computational technology, fusing machine learning and human expertise. Key elements of Paige.AI include: Pathology: The company aims to revolutionize pathology in the future, while making it immediately less manual and subjective. AI: Artificial Intelligence is at the core of the company’s mission. Guidance: Robust clinical decision support will guide experts to focus on actionable pathologic findings, trained by diagnostic pathology experts and cancer researchers. Engine: Paige.AI’s engine is a high-performance compute cluster with hundreds of graphics processing units (GPUs).
