The main topic is the collaboration between C2i Genomics and Tel Aviv Sourasky Medical Center to enable early detection of recurring cancer using a cloud-based AI solution.
Key points:
1. C2i Genomics' MRD testing improves cancer detection and monitoring by analyzing blood test data in the cloud using AI and genomic databases.
2. Ichilov Hospital will incorporate C2i Genomics' technology into clinical examinations and sees MRD testing as a transformative approach in oncology.
3. C2i Genomics aims to commercialize its testing method and is already collaborating with pharmaceutical companies for clinical trials and drug development.
Microsoft and Epic are expanding their strategic collaboration to bring generative AI technologies to the healthcare industry, aiming to address urgent needs such as workforce burnout and staffing shortages and enhance patient care and operational efficiency within the Epic electronic health record ecosystem.
Artificial intelligence (AI) can accurately predict the risk of developing esophageal and stomach cancer, allowing for early detection and prevention measures.
Researchers at Stanford Medicine and their colleagues have developed an artificial intelligence model that uses stained images of glioblastoma tissue to predict the aggressiveness of the brain tumor, determine the genetic makeup of the tumor cells, and evaluate whether cancerous cells remain after surgery.
Microsoft is reportedly testing the addition of AI capabilities to its old apps, including Paint and the Photos app, in an effort to modernize them. The company is also considering adding optical character recognition (OCR) to the Snipping Tool.
Precision oncology is a revolution in cancer care that matches the right treatments to patients, and applying artificial intelligence and machine learning to clinical, genomic, and social determinants of health data can help develop targeted prevention strategies and new treatments while identifying eligible patients.
Kaiser Permanente is using augmented intelligence (AI) to improve patient care, with programs such as the Advanced Alert Monitor (AAM) that identifies high-risk patients, as well as AI systems that declutter physicians' inboxes and analyze medical images for potential risks. These AI-driven applications have proven to be effective in preventing deaths and reducing readmissions, demonstrating the value of integrating AI into healthcare.
Computer-assisted colonoscopy driven by artificial intelligence (AI) may increase detection of small polyps, but not colorectal neoplasias or advanced adenomas, according to two new reports.
UF Health in Jacksonville is using artificial intelligence to help doctors diagnose prostate cancer, allowing them to evaluate cases more quickly and accurately. The AI technology, provided by Paige Prostate, assists in distinguishing between benign and malignant tissue, enhancing doctors' abilities without replacing them.
Dell is partnering with the University of Limerick (UL) to develop an AI-powered platform for predictive and diagnostic cancer research, aiming to streamline cancer biomarker testing and enhance treatment processes for B-cell lymphoma patients.
Google and the U.S. Department of Defense have developed an Augmented Reality Microscope (ARM) powered by artificial intelligence, which can assist pathologists in diagnosing conditions like cancer by quickly identifying the location and severity of tumors, potentially providing a useful tool for pathologists without easy access to a second opinion.
The use of advanced imaging techniques in healthcare, such as CT and ultrasound examinations, has increased significantly in the past decade, leading to a growing interest in making these tools more intelligent, user-friendly, and accessible, with organizations like GE developing AI-assisted ultrasound technology to improve healthcare outcomes and access particularly in low to middle-income countries. Additionally, AI algorithms have shown promise in predicting breast cancer risk, and tools like Google Health's DermAssist have the potential to revolutionize patient healthcare.
Researchers at the University of North Carolina have developed an AI model that can predict in real-time whether a surgeon has removed all cancerous tissue during breast cancer surgery by analyzing a mammogram of the removed tissue, performing as well as or better than human doctors.
Mercy health system plans to implement artificial intelligence tools in partnership with Microsoft to help patients navigate the healthcare system, reduce burden on staff, and monitor for errors, with the programs expected to be launched next year aiming to enhance patient care rather than replace jobs.
Artificial intelligence (AI) tools, such as CellProfiler, are revolutionizing image-based research in the life sciences by automating image analysis and accelerating workflows, but bioinformaticians need to bridge their skills gaps and familiarize themselves with AI tools to fully harness their potential.
Microsoft's Bing Image Creator, an AI-based tool, is being used by users to generate images of popular characters like Kirby flying planes into skyscrapers, raising concerns about the limitations of AI moderation.
