The Tsukuba team’s innovative CT-based radiomics deep learning model exhibits an 89% accuracy in predicting lymph node metastasis in nonfunctional pancreatic neuroendocrine tumors (NF-PNETs). Validated with external hospital data, the model maintains a remarkable…
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What You Should Know: – Amgen, a global leader in biotechnology, is embarking on a groundbreaking venture: Project Freyja. – The new initiative will harness the power of an NVIDIA DGX SuperPOD, christened after…
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Britton Burton Sr. Director of TPRM Strategy
Morgan Hague, Manager of IT Risk Management at Meditology Services
Leaps in healthcare technology continue to benefit humankind: from the advent of the X-ray in the 19th century to…
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Lunit SCOPE IO, driven by AI, achieved a groundbreaking success in a phase III trial for NSCLC patients with EGFR or ALK mutations, published in the Journal of Clinical Oncology. This marks a pivotal…
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By Shania Kennedy
October 02, 2023 – Researchers at the University of Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors can…
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In this discussion with Andrew Meadow, General Partner of Health Innovation Capital, at HIMSS 2023 we discover the under-discussed trend of directing healthcare innovation towards the younger patient population. Andrew sheds light on the…
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Hey, all you digital health enthusiasts out there! It’s BeKey in touch — the company rocking the world of healthcare software and hardware. We thought, why not take a wild ride into the future…
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Researchers from Boston University have developed a machine learning model to provide personalized hypertension treatment recommendations. The model analyzes patient-specific characteristics and medical history to generate a customized hypertension prescription, suggesting the most appropriate…
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As the healthcare industry strives toward precision medicine, it will be essential for care providers to gain an intimate view of a patient’s response to treatment to determine its impact on their quality of…
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Cutting-edge research from Mayo Clinic and UCSF demonstrates that combining artificial intelligence (AI) imaging with volumetric breast density algorithms can accurately predict the long-term risk of invasive breast cancers. The study compared traditional assessment…
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