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Shudhanshu Alishetti on Muck Rack

Shudhanshu Alishetti

As seen in: Nature
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Articles

Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction

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By Zhe Huang, Weishen Pan, Shudhanshu Alishetti, Ashley Beecy, Zhenzhen Liu, Albert Gong, Saebyeol Shin, Kevin J. Clerkin, Rochelle L. Goldsmith, David T. Majure, Chris Kelsey, David vanMaanan, Jeffrey A. Ruhl, Naomi Tesfuzigta, Erica Lancet, Deepa Kumaraiah, Gabriel Sayer, Deborah Estrin, Kilian Q. Weinberger, Nir Uriel, Fei Wang
| Nature Verified
Abstract Heart failure (HF) is a progressive and fatal disease that affects nearly 7 million individuals in the United States, with prevalence expected to surpass 10 million by 2040. Cardiopulmonary exercise testing (CPET) represents the gold standard for assessing functional capacity and predicting survival outcomes among HF patients but its widespread use is limited by practical constraints.
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"Passive Remote Monitoring for Prevention of Heart Failure Hospitalizations"

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By Parag Goyal, Shudhanshu Alishetti
| ncbi.nlm.nih.gov
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