Government Medical College

MIRA: A Multi-Stage Triage Pipeline with a Triage-Stage Red-Flag Layer, Designed for WhatsApp-Based Use in Low-Resource, Multilingual Settings — An Interim Evaluation on a 30-Case Synthetic Set

MIRA is a research prototype of a fixed six-stage sequential triage pipeline (five LLM-backed agents plus a deterministic red-flag layer at the Triage stage) for WhatsApp-style symptom messages in English and romanized Hindi/Telugu. This corrected version supersedes v1.2-interim,...

MIRA: A WhatsApp-Deployed, Rule-Overridden Multi-Agent Pipeline for Pre-Contact Clinical Triage in Low-Resource, Multilingual Settings

MIRA is a five-node pipeline (Intake → Language → Diagnostic → Triage → Referral) that accepts a WhatsApp message describing symptoms, in the patient's own language including romanized Hindi and Telugu, and returns a triage decision (Emergency / Urgent / Routine) plus a referral....

Genome-wide association analysis of endometriosis in Indian women supports shared genetic susceptibility and suggestive population specific signals

Endometriosis is an estrogen-dependent, chronic gynaecological disorder affecting approximately 10% of women of reproductive age and is associated with pelvic pain, infertility, and reduced quality of life. Genetic studies indicate substantial heritability, yet genome-wide associ...

Influence of Body Mass Index on 6 Minute Step Test [6MST] performance in females with an age group of 20-30 years : A Comparative Observational Study.

ABSTRACT : Body composition is indirectly measured by the body mass index, which ishighly correlated with body fat. Females have more body fat, leading to impaired functionalexercise capacity. So this study focuses on studying the influence of BMI on 6 Minute StepTest [6MST] perf...

Self-Evolving APIs: A Framework for AI-Driven Middleware that Autonomously Refactors, Optimizes, and Documents Endpoints from Real Time

APIs serve as critical contracts connecting modern distributed systems, directly impacting reliability, performance, cost, and developer productivity. Current API evolution remains largely manual: engineers detect usage changes via logs, plan breaking changes, refactor code and c...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...

Self-Evolving APIs: A Framework for AI-Driven Middleware that Autonomously Refactors, Optimizes, and Documents Endpoints from Real Time

APIs serve as critical contracts connecting modern distributed systems, directly impacting reliability, performance, cost, and developer productivity. Current API evolution remains largely manual: engineers detect usage changes via logs, plan breaking changes, refactor code and c...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...