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Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 

Cardiovascular diseases (CVDs) and diabetes are major health concerns globally, contributing significantly to mortality rates. Effective monitoring of these conditions is crucial for timely intervention and management. Traditional methods for. . .

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Registration of ultrasound images of patients suffering hypertrophic cardiomyopathy with Gadolinium-enhanced MRI images
Registration of ultrasound images of patients suffering hypertrophic cardiomyopathy with Gadolinium-enhanced MRI images

Hypertrophic cardiomyopathy (HCM) is a disease in which the walls of the heart become thickened or enlarged. According to a genetic study, mutations in 14 genes code for sarcomere proteins, which. . .

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Prediction of risk of stroke using retinal images 
Prediction of risk of stroke using retinal images 

Currently there is no efficient. sensitive and specific screening methodology for the huge population of India for picking up the population at risk for coronary artery disease and stroke, which. . .

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Automated Detection of Nonconvulsive Electrographic Seizures from continuous EEG 
Automated Detection of Nonconvulsive Electrographic Seizures from continuous EEG 

Our project aims to develop and implement an innovative automated seizure detection system tailored for ICU use. This project addresses a critical gap in ICU patient care by providing a. . .

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Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram

The echocardiogram is an ultrasound imaging modality, employed to assess cardiac abnormalities. The Regional Wall Motion Abnormality (RWMA) is the occurrence of abnormal or absent contractility of a region of. . .

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Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis

This project tackles the challenge of analysing human stress levels by optimising how we divide time segments in data collected from various sensors beyond electroencephalography (EEG). The key question lies. . .

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AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  
AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  

This ongoing project approved by Marico, employs an AI-powered image recognition algorithm to detect micronutrient deficiencies in coconut trees, using machine learning models trained on labelled nutrient deficiency datasets. The. . .

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Anti-microbial Activity of a Traditional Snānacūrṇa Recipe for Ajjaram Wellness LLP
Anti-microbial Activity of a Traditional Snānacūrṇa Recipe for Ajjaram Wellness LLP

Ajjaram Wellness LLP is backed by a family with 100 years of Ayurvedic ancestral lineage, reputed professors from Ayurvedic institutions and qualified BAMS specialists. AWL is on a mission to. . .

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Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines

Abstract The aim of the study was to access the bioavailability of Emodin in Cassia occidentalis L.leaves before and after the addition of buttermilk   using Caco2 cell lines. The study. . .

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