Features and Benefits
Instructors
Dr. Kashmira Ganji
Post Doctoral Fellow, Department of Management Sciences, Indian Institute of Technology, Kanpur.
Post-Doctoral Fellow at IIT Kanpur specializing in AI applications in healthcare with a focus on machine learning, generative AI, and explainable AI in medical contexts. Dr. Ganji combines research excellence at India's premier technical institute with practical knowledge of emerging AI tools like ChatGPT, SHAP, and LIME for healthcare applications. Her work focuses on making AI models transparent and interpretable for clinical decision-making, ensuring that healthcare professionals can trust and effectively use AI recommendations. Dr. Ganji's research bridges the gap between cutting-edge AI technology and clinical needs, preparing learners to implement AI solutions responsibly in medical settings. Together, they blend rigorous academic research, healthcare innovation, and hands-on AI tool mastery to prepare learners for real-world HealthTech challenges.
Dr. Sanjay Bijwe
35+ Years in Academia & Healthcare | Neuropathology | Health Policy | Hospital Administration | Digital Health & Institutional Scaling
Senior Academician with 36+ years of extensive experience in pathology, healthcare leadership, and medical education. Dr. Bijwe has guided healthcare innovation initiatives, mentored healthcare professionals, and contributed to shaping India's healthcare ecosystem. His expertise in diagnostic pathology and hospital administration enables him to bridge traditional healthcare practices with emerging AI technologies, bringing practical clinical insights to real-world healthcare applications.
Dr. Kashmira Ganji
Post Doctoral Fellow, Department of Management Sciences, Indian Institute of Technology, Kanpur.
Post-Doctoral Fellow at IIT Kanpur specializing in AI applications in healthcare with a focus on machine learning, generative AI, and explainable AI in medical contexts. Dr. Ganji combines research excellence at India's premier technical institute with practical knowledge of emerging AI tools like ChatGPT, SHAP, and LIME for healthcare applications. Her work focuses on making AI models transparent and interpretable for clinical decision-making, ensuring that healthcare professionals can trust and effectively use AI recommendations. Dr. Ganji's research bridges the gap between cutting-edge AI technology and clinical needs, preparing learners to implement AI solutions responsibly in medical settings. Together, they blend rigorous academic research, healthcare innovation, and hands-on AI tool mastery to prepare learners for real-world HealthTech challenges.