What You Should Know:
– Virtual care company Omada Health filed for an initial public offering (IPO) on Friday, according to the SEC filing.
– Founded in 2012, Omada specializes in virtual care programs designed to…
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Large-language models (LLMs) show promise for clinical note information extraction, but deployment challenges include high computational costs and privacy concerns. We used synthetic data distillation to fine-tune smaller, open-source LLMs to achieve performance comparable…
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Commissioning of innovations in healthcare is a complex socio-technical process, ideally informed by high quality evidence. However, evidence is not always prepared and presented in a format usable for commissioning decisions. Agile methodology, combined…
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What You Should Know:
– Artera, a company developing multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer tests, today announced the publication of a significant validation study in the JCO Clinical Cancer Informatics.
– The study…
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Accurate medical decision-making is critical for both patients and clinicians. Patients often struggle to interpret their symptoms, determine their severity, and select the right specialist. Simultaneously, clinicians face challenges in integrating complex patient data…
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What You Should Know:
QuantHealth has launched LRDM v1.0, the world’s first clinical trial foundation model that simulates patient outcomes using data from over 100 million individuals and billions of clinical datapoints.This technology marks a pivotal…
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What Is Agentic AI?
Like other forms of artificial intelligence, agentic AI is only as accurate as the data that fuels it. It relies on “a digital ecosystem of large language models (LLMs), machine learning…
De-identified NHS data from 57 million people in England is being used to train a generative AI model capable of predicting future health outcomes.
The model, called Foresight, is being tested by researchers at University…
Speech dysarthria is a key symptom of neurological conditions like ALS, yet existing AI models designed to analyze it from audio signal rely on handcrafted features with limited inference performance. Deep learning approaches improve…
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Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…
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