• Mashup Score: 495
    Medicine is plagued by untrustworthy clinical trials. How many studies are faked or flawed? - 10 month(s) ago

    Investigations suggest that, in some fields, at least one-quarter of clinical trials might be problematic or even entirely made up, warn some researchers. They urge stronger scrutiny.

    Source: www.nature.com
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      EricTopol

      The data from many randomized clinical trials are seriously flawed, some even fabricated "zombies". A new @Nature feature probes this serious issue and the importance of access to and reviewing individualized participant data https://t.co/0Twjre50vY by @Richvn https://t.co/PUjhlWw1G4

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      adamjkucharski

      The problem of flawed clinical trials – and how to spot them in the first place: https://t.co/OgIIHmv6Yo https://t.co/oSd64AOj9t

  • Mashup Score: 415
    A Positive Covid Milestone - 10 month(s) ago

    In a sign that the pandemic really is over, the total number of Americans dying each day is no longer historically abnormal.

    Source: www.nytimes.com
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      EricTopol

      No, Covid is not an ordinary illness. https://t.co/eBMTeaPmAh For accurate information, see @dr_kkjetelina's newsletter today https://t.co/zBKUFcPueQ https://t.co/bCZfgjhoID

  • Mashup Score: 2
    Cardiovascular Board Review | Mayo Clinic CME Course | In-Person and Livestream | Mayo Clinic Cardiovascular Education - 10 month(s) ago

    The Mayo Clinic Cardiovascular Board Review provides overview of all aspects of cardiovascular medicine, and is specifically designed to prepare attendees for the ABIM cardiology board exams and recertification exams. This course is offered in-person and via livestream.

    Source: cveducation.mayo.edu
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    • Profile photo of AmitGoyalMD
      AmitGoyalMD

      @CardioNerds @jeffreygeske @MayoClinicCV @JennaSkowronski @PittCardiology @jaya_kanduri @WCMCardsFellows @mwcullen @DrAmyPollak @nandananavekar @TDonisan @KBerlacher @SimranSinghMD @MayoCVFellows 🎙️ 2⃣nd @CardioNerds #BeyondTheBoards Series recording🔥 @mwcullen [@MayoClinicCV], @TiffanyDong6 [@CCFcards] & @msdmsdoms [@PennCVFellows] 🤩Inspired by the @MayoCVservices Board Review Course - 🔗https://t.co/Bc6EPoHCcg ❤️🤓Stay tuned... https://t.co/wGQpa8kMde

  • Mashup Score: 46
    Early Biological Markers of Post-Acute Sequelae of SARS-CoV-2 Infection - 10 month(s) ago

    To understand the roles of acute phase viral dynamics and host immune responses in PASC, we enrolled 136 participants within 5 days of their first positive SARS-CoV-2 real-time PCR. Participants self-collected nasal specimens up to 21 times within the first 28 days after symptom onset; Interviewer-administered clinical questionnaires and blood samples were collected at enrollment and days 9, 14,…

    Source: medRxiv
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    • Profile photo of EricTopol
      EricTopol

      "In comparison to those who fully recovered, those who developed PASC [#LongCovid] demonstrated significantly higher maximum levels of #SARSCoV2 RNA, infectious virus, and N-antigen, longer duration of viral shedding, and lower Spike-specific IgG" https://t.co/w47OvlWX3X https://t.co/MhvubXXkrb

  • Mashup Score: 28
    Federated benchmarking of medical artificial intelligence with MedPerf - Nature Machine Intelligence - 10 month(s) ago

    Federated learning can be used to train medical AI models on sensitive personal data while preserving important privacy properties; however, the sensitive nature of the data makes it difficult to evaluate approaches reproducibly on real data. The MedPerf project presented by Karargyris et al. provides the tools and infrastructure to distribute models to healthcare facilities, such that they can…

    Source: Nature
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      EricTopol

      Privacy and security of medical data for #AI across healthy systems is a critical concern. That's why this new paper is particularly relevant https://t.co/S4R5qy7KjR @NatMachIntell

  • Mashup Score: 121
    Large language models in medicine - Nature Medicine - 10 month(s) ago

    This review explains how large language models (LLMs), such as ChatGPT, are developed and discusses their strengths and limitations in the context of potential clinical applications.

    Source: Nature
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      EricTopol

      🆕 @NatureMedicine A very good and balanced review of the fast moving field of large language models in medicine https://t.co/Omhk0FeQcY https://t.co/PN6j4MgXni

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