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Economics and Equity of Large Language Models: Health Care Perspective

Economics and Equity of Large Language Models: Health Care Perspective

In this perspective, 3 different LLM implementation pathways (training from scratch pathway [TSP], fine-tuned pathway [FTP], and out-of-the-box pathway [OBP]; Figure 1) across 4 major cloud service providers (CSPs; Amazon Web Services [AWS], Google Cloud Platform [GCP], Azure: Microsoft, and Oracle Cloud Infrastructure [OCI]) are presented as “onboarding points.”

Radha Nagarajan, Midori Kondo, Franz Salas, Emre Sezgin, Yuan Yao, Vanessa Klotzman, Sandip A Godambe, Naqi Khan, Alfonso Limon, Graham Stephenson, Sharief Taraman, Nephi Walton, Louis Ehwerhemuepha, Jay Pandit, Deepti Pandita, Michael Weiss, Charles Golden, Adam Gold, John Henderson, Angela Shippy, Leo Anthony Celi, William R Hogan, Eric K Oermann, Terence Sanger, Steven Martel

J Med Internet Res 2024;26:e64226

Personalized Analytics and a Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation (DeCODe): Protocol for the Development of the COVID-19 Decompensation Index

Personalized Analytics and a Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation (DeCODe): Protocol for the Development of the COVID-19 Decompensation Index

This study aims to develop and validate a COVID-19 decompensation index (CDI) in a 2-phase manner and build on existing wearable biosensor–derived analytics generated by phys IQ’s end-to-end cloud platform for continuous physiological monitoring with wearable biosensors. The development of a CDI is believed to be key to managing and mitigating the severity of a patient’s illness, especially COVID-19 where little is known about the progression of the disease.

Karen Larimer, Stephan Wegerich, Joel Splan, David Chestek, Heather Prendergast, Terry Vanden Hoek

JMIR Res Protoc 2021;10(5):e27271