Google Research and Google DeepMind recently released a paper announcing the creation of a new LLM for drug discovery and therapeutic development dubbed Tx-LLM, fine-tuned from PaLM-2.Tx-LLM utilizes the tech giant’s PaLM-2, its generative…
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Background: Mobile health (mHealth) interventions that promote healthy behaviors or mindsets are a promising avenue to reach vulnerable or at-risk groups. In designing such mHealth interventions, authentic representation of intended participants is essential. The…
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What You Should Know:
– A new study from Mount Sinai Hospital suggests artificial intelligence (AI) can significantly improve patient outcomes by predicting and preventing health decline. The research, published in Critical Care Medicine, found…
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By Anuja Vaidya
June 14, 2024 – Adding nurse care management to home telemonitoring reduced blood pressure (BP) more significantly among low-income Black and Hispanic stroke survivors than home telemonitoring alone, according to new research.
Published in…
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The KLAS Global Summit agenda was packed with discussion and heavy-hitting data. This blog reviews topics from day two of the conference. For an overview of the content shared during day one, please see…
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By Shania Kennedy
June 13, 2024 – Researchers from Washington University in St. Louis have developed a machine learning (ML) approach to predict recovery outcomes following lumbar spine surgery using data from wearables and other sources.
The…
What You Should Know:
– Alida Biosciences (AlidaBio), an innovator in epigenomic research tools, proudly announces the successful completion of a $7.5 million Series A funding round. This funding, led by Genoa Ventures with participation…
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The employer-sponsored healthcare services market is seeing big changes as M&A activity picks up. As mentioned in our recent Employer-Sponsored Healthcare Services 2024 report, KLAS is paying close attention to the progress of the…
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What You Should Know:
– Rimidi, a leading digital health company specializing in remote patient monitoring, announced a new partnership with the University of South Carolina (USC) and an affiliated multispecialty clinic. Funded by The…
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By Shania Kennedy
June 11, 2024 – A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care.
EEGs are…
