Publications by authors named "G I Menon"
BharatSim is an open-source agent-based modelling framework for the Indian population. It can simulate populations at multiple scales, from small communities to states. BharatSim uses a synthetic population created by applying statistical methods and machine learning algorithms to survey data from multiple sources, including the Census of India, the India Human Development Survey, the National Sample Survey, and the Gridded Population of the World.
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- Brain tumors are challenging to diagnose and classify in oncology, and radiomics—an emerging field that analyzes quantitative features from medical images—may improve treatment planning despite concerns about study methodologies.
- A systematic review of literature identified 18 studies using radiomic features and machine learning models to classify gliomas, demonstrating their potential in distinguishing tumor subtypes and grades using various imaging techniques like MRI and PET/CT.
- The findings suggest that radiomics can achieve high classification accuracy that sometimes surpasses traditional diagnostic methods and the performance of less experienced radiologists, highlighting the need for further validation in clinical practice.
Rationale: Early mortality in intracerebral hemorrhage (ICH) is due to hematoma volume (HV) expansion, and there are no effective treatments available other than reduction in blood pressure. Tranexamic acid (TXA) a hemostatic drug that is widely available and safe can be a cost-effective treatment for ICH, if proven efficacious.
Hypothesis: Administration of TXA in ICH patients when given within 4.