What You Should Know:
– Mount Sinai Tisch Cancer Center has deployed PRISM, an AI-powered platform designed by Triomics for systemwide clinical trial matching.
– Utilizing OncoLLM—a large language model pipeline built specifically for oncology—PRISM identifies…
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Lung cancer remains the top cause of cancer death, demanding consistent decisions. This clinically oriented review synthesizes computer-aided diagnosis across classical imaging, machine learning, and deep learning, emphasizing bedside-proven advances: multimodal CT/PET–clinical fusion; small-data…
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Introduction: Revolutionizing Clinical Trial Enrollment
Memorial Sloan Kettering Cancer Center (MSK), one of New York City’s leading oncology institutions, is taking a significant leap forward in cancer research by partnering with innovative startup Triomics. This…
Guardant Health partners with Zephyr AI to advance cancer research | Mobi Health News
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What You Should Know:
– Flatiron Health, a leading healthtech company dedicated to improving cancer care and advancing research using real-world data (RWD), today announced that its international oncology research network has tripled in size…
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Cancer research organization City of Hope has co-led a study to show that characterizing genetic material close to chromosomes predicts how mutated, cancer-causing genes reprogram DNA and alter the tumor microenvironment. City of Hope said…
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Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…
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The Royal Marsden NHS Foundation Trust is launching an AI radiology analysis service which runs on a clinical imaging platform to improve cancer research and patient outcomes.
The specialist cancer centre partnered with digital business…
Source Credit: Preunvo Whole-Body MRI
What You Should Know:
– Prenuvo, a leader in whole-body MRI for proactive health screening, today announced compelling results from its Polaris study. The real-world study of over 1,000 asymptomatic individuals…
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Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative training of machine learning (ML) models on diverse, multi-centre data. This systematic review synthesises current knowledge on state-of-the-art FL in oncology, focusing on…
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