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Madhav Erraguntla on Muck Rack

Madhav Erraguntla

As seen in: Nature, Physician's Weekly
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Articles

Correction: A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes - Scientific Reports

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By Alfredo Garcia, Alfredo García, Madhav Erraguntla, Mark Lawley, Dave Darpit, Kathan Vyas, Jagadish Kumaran Jayagopal
| Nature Verified
Correction to: Scientific Reports https://doi.org/10.1038/s41598-025-22316-4, published online 03 November 2025 The original version of this Article contained errors in Figure 9, where the left panel (hypoglycemia region) was omitted. The original Fig. 9 and accompanying legend appear below. Fig. 9 Federated Model performance vs. Local and Central Models across different patient profiles in (left) hypoglycemia region and (right) hyperglycemia region. The original Article has been corrected.
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Improving Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia

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By Madhav Erraguntla, Daniel J. DeSalvo, Balakrishna Haridas
| Physician's Weekly
To optimize the management of diabetes, the long-term risks of associated complications must be balanced with risks for hyperglycemia and hypoglycemia. “Because the short-term consequences of diabetes can result in immediate disability and death, the fear of hypoglycemia often leads to less aggressive insulin therapy,” says Madhav Erraguntla, PhD.
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Predicting aquatic development and mortality rates of Aedes aegypti

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By Josef Zapletal, Himanshu Gupta, Madhav Erraguntla, Zach Adelman
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Josef Zapletal , Himanshu Gupta, Madhav Erraguntla, Zach N. Adelman, Kevin M. Myles, Mark A. Lawley Josef Zapletal, Himanshu Gupta, Madhav Erraguntla, Zach N. Adelman, Kevin M. Myles, Mark A.
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