Use case type
This category supports the analysis of scientific and clinical data to identify cancer-related targets, biomarkers, or treatment opportunities. It helps researchers prioritize hypotheses and accelerate oncology research and development.
Data updated Aug 3, 20264
4
2
4 mo
Adoption over time
By case publish month · completed months only
2 cases documented across 37 months (Jul 23 – Jul 26), peaking at 1 in October 2024.
2 earlier cases before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
4 shown from 4 use cases
Ideaya Biosciences partnered with ATTMOS to engineer a physics-based computational discovery platform targeting undruggable oncology molecules, leveraging AI/ML and high-performance computing methods.
Ontada, a McKesson business specializing in oncology technology and real-world data, partnered with Microsoft to process over 150 million unstructured oncology document components using Azure AI and Azure OpenAI Service.The collaboration addresses the significant challenge that 80% of vital healthcare data remains unstructured and often goes unanalyzed, hindering patient care improvements.Ontada's data science team deployed Large Language Models (LLMs) via Azure OpenAI Service's Batch API, targeting nearly 100 critical data elements across 39 cancer types.The solution leverages Microsoft's cloud resources to extract clinical data from multiple sources, enhancing data quality, accuracy, and the ability to visualize entire patient journeys.The ON.Genuity platform integrates proprietary EHR data (iKnowMed) and scalable AI, producing robust datasets for informing research, clinical decision-making, and improving oncology outcomes.This initiative enables healthcare providers to access more comprehensive and actionable insights, supporting personalized treatment plans and advancing oncology care quality.With improved real-world data generation, Ontada helps accelerate oncology innovation and research for life sciences partners.
Grupo OncoClinicas in Brazil utilizes Microsoft's Text Analytics for Health, an Azure Cognitive Service, to extract useful clinical information from unstructured clinical texts such as doctor’s notes and medical reports. By deploying its multilingual AI capabilities, the organization has been able to standardize medical records not written in English, supporting comprehensive treatment and tailoring patient care specifically for oncology.
Clalit Health Services, Israel's largest healthcare provider, adopted Sectra's digital pathology solution, powered by Microsoft's Azure cloud storage. This implementation focuses on improving cancer diagnostics through a fully digital workflow, allowing real-time collaboration among pathologists without reliance on traditional microscopes. Integration across nine facilities facilitates precise diagnostics for over 4.9 million members, while enhancing operational efficiency and network capabilities.
Common questions
