A bioinformatics and data science researcher diagnosed with Stage 3 rectal cancer faced challenges with Lower Anterior Resection Syndrome (LARS) post-surgery, affecting bowel control.
Struggling with daily issues like frequent bathroom visits, unpredictability, pain, and discomfort, the individual was offered an ostomy bag for life as a solution.
Motivated to find a better alternative, the individual decided to create an AI-powered platform, SANJEEVANI AI, to help cancer survivors regain health control.
SANJEEVANI AI utilizes machine learning models, gut microbiome analysis, and real-time medical knowledge retrieval to provide personalized health recommendations.
The AI platform employs advanced technologies like RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) to offer tailored solutions based on user data.
Focusing on gut health post-cancer recovery, SANJEEVANI AI recommends dietary interventions and tracks microbiome data to optimize digestion and symptom management.
Challenges in developing the platform included handling sensitive health data, incorporating real-world patient experiences, and ensuring transparent explanations for AI recommendations.
Personalized healthcare and the integration of AI, microbiome research, and patient data are emphasized for improved survivorship care.
The journey highlighted the importance of human experience alongside AI, showcasing the power of self-built solutions and the significance of personalized medicine.
The creator of SANJEEVANI AI aims to support cancer survivors in enhancing their post-cancer life quality, emphasizing the need for community and tailored support.
In the pursuit of living well post-cancer, the individual welcomes connections with cancer survivors, AI researchers, and health-tech enthusiasts to collaborate on improving survivorship care.