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AI Arms Race

AI-Powered Cancer Immunotherapy

AI-Powered Cancer Immunotherapy: How Predictive Models Are Personalizing Treatment The Challenge of Predicting Immunotherapy Success Immunotherapy—particularly immune checkpoint inhibitors (ICIs)—has revolutionized cancer treatment, offering long-term remission for some patients with lung cancer, melanoma, and kidney cancer. However, only 20-40% of patients respond to ICIs, and clinicians struggle to predict who will benefit. Current biomarkers like tumor mutational burden (TMB) and PD-L1 expression are expensive, inconsistent, and not universally applicable. This leaves doctors relying on trial-and-error approaches, delaying effective treatment and increasing costs. SCORPIO: An AI Tool Using Routine Blood Tests to Predict Treatment Response Researchers from Mount Sinai’s Tisch Cancer Institute and Memorial Sloan Kettering Cancer Center have developed SCORPIO, an AI model that predicts ICI effectiveness using routine blood tests and clinical data—eliminating the need for costly genomic sequencing. How SCORPIO Works Key Advantages Over Traditional Methods ✔ More accurate than PD-L1 & TMB testing in trials✔ Works across 21 cancer types (validated in 10,000+ patients)✔ Low-cost & scalable—uses existing lab tests✔ No specialized equipment needed, ideal for resource-limited settings Why This Matters for Cancer Care Next Steps: From Research to Real-World Use Before widespread adoption, SCORPIO will undergo prospective clinical trials to confirm real-world performance. Challenges include: The Future of AI in Immunotherapy SCORPIO is part of a growing wave of AI tools transforming oncology: As Diego Chowell, PhD (Mount Sinai) notes: “SCORPIO represents a major step toward democratizing precision oncology—making advanced cancer care accessible to all patients, not just those at specialized centers.” The Bottom Line AI is shifting immunotherapy from trial-and-error to predictive, personalized medicine. With tools like SCORPIO, the future of cancer treatment is smarter, faster, and more equitable. Next Frontier? Combining AI with real-time patient monitoring to dynamically adjust therapies—bringing us closer to truly adaptive cancer care. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Barriers to Healthcare Data Exchange

Barriers to Healthcare Data Exchange

As of 2022, 96% of hospitals were involved in some form of electronic public health data exchange, according to a blog post by the Office of the National Coordinator for Health Information Technology (ONC). Yet Barriers to Healthcare Data Exchange Despite this high engagement, barriers to effective data exchange remain. About three-quarters of hospitals reported facing at least one obstacle to public health reporting. The most frequent challenge was the perception that public health authorities (PHAs) could not receive information electronically. Additionally, hospitals cited technical complexities and exchange costs as significant barriers. ONC data also revealed lower rates of electronic public health reporting among small, rural, independent, and critical access hospitals. Similarly, office-based physicians encounter difficulties in public health data exchange due to limited EHR integration. The 2022 National Physician Health IT Survey indicated that less than half of primary care physicians (41%) used their EHR systems to access immunization data from outside their organizations. Several initiatives are underway to address these public health reporting challenges and improve interoperability between healthcare providers and PHAs: Additionally, a proposed rule from ONC seeks to enhance public health data exchange further. The Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-2) proposed rule builds on existing certification criteria by: According to the ONC blog, “Together, these efforts will help address persistent challenges to public health data sharing by investing in public health infrastructure, establishing a governing approach for nationwide health information exchange, and advancing standards to support seamless electronic exchange.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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