Image Credit: NVIDIA
What You Should Know:
– NVIDIA today unveiled a massive expansion of its healthcare AI initiatives, rolling out new open models as part of the NVIDIA Clara platform and announcing foundational partnerships with…
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Rheumatoid arthritis (RA) is a heterogeneous disease with variable symptoms, prognosis, and treatment response, necessitating refined patient classification. We applied multimodal deep learning and clustering to identify distinct RA phenotypes using baseline clinical data…
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Opioids are frequently overprescribed after surgery. We applied a tabular foundation model to predict the risk of post-discharge opioid consumption. The model was trained and internally validated on an 80:20 training/test split of the…
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In (immune)oncology, virtual twins (VTs) offer patient-individual decision support. Nevertheless, current VTs do not incorporate the unique properties of engineered adoptive cellular immunotherapies (eACIs). Here, we outline the minimal design specifications for VTs for…
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Long COVID poses a significant disease burden globally, but its heterogeneous presentation and unreliable coding practices render it difficult to study. Developing efficient phenotyping algorithms is crucial to enabling risk prediction and effective management…
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For Seattle Children’s Hospital, a big clinical hurdle revolved around efficiently accessing and applying the ever-expanding universe of evidence-based information in a timely and contextually relevant manner. While the hospital has always prioritized delivering…
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Vendors at this week’s RSA Conference in San Francisco are rolling out agentic artificial intelligence infusions embedded in cybersecurity platforms, new AI firewalls, cloud protection tools and other products that aim to stay ahead…
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Electronic Health Record (EHR) systems are particularly valuable in pediatrics due to high barriers in clinical studies, but pediatric EHR data often suffer from low content density. Existing EHR code embeddings tailored for the…
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Rapidly Expanding Technology in Patient Rooms
The Patient Room ‘Next’ framework envisions a flexible, technology-enabled space in which patients receive state-of-the-art treatment regardless of where that treatment is being provided. Consistent care can be provided from…
There is a significant unmet need for effective brain monitoring across various healthcare settings — including emergency departments, intensive care units, outpatient clinics and home environments — due in large part to the persisting…
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