Project
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Respiratory Health Monitoring
“Respiratory Health Monitoring” enables real-time analysis and diagnosis, supports early detection and risk prediction of conditions like COPD or asthma, and enhances patient care through timely interventions. By leveraging AI, it offers personalized treatment plans and generates counterfactual explanations to improve transparency, guiding clinicians in making informed decisions for effective, patient-specific respiratory management.
Dr. S. N. Tripathy
Hormonal Health Analysis
Hormonal Health Analysis enables precise diagnosis, risk prediction, and early detection of endocrine disorders through data-driven insights. It supports personalized treatment plans by integrating biomarkers with AI-generated counterfactual explanations, enhancing patient care, guiding timely interventions, and offering proactive support. This approach ensures tailored therapies, improving outcomes by understanding “what-if” scenarios in hormonal imbalances.
Dr. S. N. Tripathy
Bone Density & Osteoporosis Risk
The title “Bone Density & Osteoporosis Risk” encompasses analysis of bone health data, early diagnosis through imaging and biomarkers, and risk prediction using AI models. It enables timely detection and personalized interventions. Counterfactual explanations enhance patient understanding by showing “what-if” scenarios, supporting informed decisions, improving care quality, and tailoring treatment plans for better outcomes.
Dr. S. N. Tripathy
Hypertension Risk Prediction
“Hypertension Risk Prediction” enables comprehensive analysis and diagnosis by identifying key risk factors, supports early detection and timely intervention, enhances patient care through continuous monitoring, and facilitates personalized treatment plans. Integrating counterfactual explanations ensures transparent decision-making, helping clinicians and patients understand how lifestyle or clinical changes could reduce hypertension risk effectively.
Dr. S. N. Tripathy
Obesity & Metabolic Health
The title “Obesity & Metabolic Health” encompasses critical aspects of healthcare, enabling data-driven analysis, accurate diagnosis, and risk prediction of associated conditions. It facilitates early detection and intervention, improves patient care through support systems, and enables personalised treatment plans. Leveraging counterfactual explanations enhances understanding of health outcomes and empowers patients to make informed lifestyle changes.
Dr. S. N. Tripathy
Allergy & Autoimmune Response
The title “Allergy & Autoimmune Response” encompasses the analysis, diagnosis, and risk prediction of allergic and autoimmune conditions, focusing on early detection and intervention. It emphasizes enhancing patient care through personalized treatment plans, leveraging advanced technologies such as explainable AI. By generating counterfactual explanations, the approach improves decision-making, identifying key triggers, and tailoring interventions to individual patient profiles.
Dr. S. N. Tripathy
Kids Health Analysis
“Kids Health Analysis” focuses on leveraging data-driven techniques to analyze children’s health, enabling early diagnosis, risk prediction, and intervention. By applying predictive models and counterfactual explanations, it enhances patient care through tailored treatment plans. These strategies improve clinical decision-making, ensuring personalized support while identifying factors influencing health outcomes, promoting proactive management, and fostering better long-term well-being.
Dr. S. N. Tripathy