Publications by authors named "M Saranya"

Article Synopsis
  • Cancer is usually treated as a genetic disease with methods like chemotherapy and radiation, which help people live longer.
  • Some doctors are starting to think of cancer as a disease that affects how our bodies use energy and nutrients, calling this "integrative oncology."
  • This new approach looks at many factors, like stress and nutrition, to help treat cancer and improve how patients feel, combining ideas from both genetic and metabolic views.
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High-grade gliomas are aggressive brain tumors with a poor prognosis despite conventional treatments such as surgery, radiation, and chemotherapy. Integrative oncology, combining conventional and complementary therapies, may offer additional benefits in managing these complex cases. We present a 68-year-old male farmer diagnosed with high-grade glioma in the left medial temporal lobe.

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More sophisticated data access is possible with artificial intelligence (AI) techniques such as question answering (QA), but regulations and privacy concerns have limited their use. Federated learning (FL) deals with these problems, and QA is a viable substitute for AI. The utilization of hierarchical FL systems is examined in this research, along with an ideal method for developing client-specific adapters.

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Reliable and accurate modelling of streamflow is still a challenging task due to their complex behaviour, need for extensive parameter for development as well as lack of complete or accurate data. In this study, the applicability of an emerging data-driven model, specifically a neural network autoregression (NNAR) model, was evaluated for the first time as a substitute to the physically based hydrological model Soil and Water Assessment Tool (SWAT) for predicting streamflow under data-scarce conditions and for immediate high-quality modelling results. The inputs to the NNAR model were the lagged values of the daily streamflow time series data, and the output was the predicted value for the next day.

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The demand for engineered scaffolds capable of delivering multiple cues to cells continues to grow as the interplay between cell fate with microenvironmental and external cues is revealed. Emphasis has been given to develop stimuli-responsive scaffolds. These scaffolds are designed to sense an external stimulus triggering a specific response (e.

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