Few published data science tools are ever translated from academia to real-world clinical settings for which they were intended. One dimension of this problem is the software engineering task of turning published academic projects…
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What You Should Know:
– Phenomix Sciences (Phenomix), a precision medicine biotechnology company that brings data intelligence to the treatment of obesity, has secured $5.5 million in Series A funding from new investors, DexCom, Inc….
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Digital health technologies (DHTs) have the potential to modernize drug development and clinical trial operations by remotely, passively, and continuously collecting ecologically valid evidence that is meaningful to patients’ lived experiences. Such evidence holds…
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By Anuja Vaidya
May 16, 2024 – Synchronous telehealth appears to be an effective tool in diagnosing and treating acute care conditions without resulting in high rates of in-person follow-up care, according to research published in…
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The Bipartisan Senate AI Working Group released a roadmap for AI policy in the U.S. Senate, encouraging the Senate Appropriations Committee to fund cross-government artificial intelligence research and development projects, including research for biotechnology…
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The Bipartisan Senate AI Working Group released a roadmap for AI policy in the U.S. Senate, encouraging the Senate Appropriations Committee to fund cross-government artificial intelligence research and development projects, including research for biotechnology…
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Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP). However, the medical field faces challenges in training LMs due to limited data access and privacy constraints imposed by regulations…
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The American Medical Association (AMA) has a mission to promote the art and science of medicine and the betterment of public health. This closely aligns with KLAS’ mission to improve the world’s healthcare through insights,…
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Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer…
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Healthcare datasets are becoming larger and more complex, necessitating the development of accurate and generalizable AI models for medical applications. Unstructured datasets, including medical imaging, electrocardiograms, and natural language data, are gaining attention with…
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