In 2025, the Department of Graduate Education, in collaboration with the Department of Medical Education and Scholarly and Research Technologies, has provided all active medical and graduate students at the Icahn School of Medicine with access to ChatGPT Edu. This makes us the first medical and graduate schools in the nation to implement this educational license from OpenAI.

Through ChatGPT Edu, Mount Sinai’s students can access advanced AI models designed for complex queries in science, technology, engineering, and mathematics fields. The platform includes enhanced privacy protections, with safeguards ensuring that no data, prompts, or responses are used to train OpenAI's models. Students can also create and share customized resources for specific tasks within a secure community space that follows Mount Sinai's security standards. Scholarly and Research Technologies has developed educational content and workshops through the Gustave L. and Janet W. Levy Library to support students, faculty, and staff in effectively using ChatGPT Edu and integrating AI into academic learning, research, and scholarly activities.

Building on the implementation of ChatGPT Edu, we are conducting research to examine the impact of generative AI on learning experiences across different student populations. The Educational Research Initiative compares how medical students and graduate biomedical students use AI tools, how these tools affect critical thinking and knowledge retention, and what ethical concerns emerge from their use. This research will inform how Mount Sinai further integrates AI into medical and biomedical research training, ensuring that these technologies enhance learning while preserving academic integrity and the development of independent, critical thought.

The department’s faculty have most recently developed and restructured graduate programs that reflect evolving workforce needs and educational innovation in biomedical sciences.

The Master of Science in Biomedical Science program has been reimagined to provide greater flexibility for students at different career stages. The program now offers four distinct tracks, from research-focused preparation for prospective PhD students to accelerated options for working professionals. Students can earn specialty concentrations in:

• Artificial Intelligence and Emerging Technologies in Medicine (AIET)
• Cancer Biology (CAB)
• Disease Mechanisms and Therapeutics (DMT)
• Development, Regeneration, and Stem Cells (DRS)
• Genetics and Genomics (GGS)
• Immunology (IMM)
• Microbiology (MIC)
• Neuroscience (NEU)
• Health Sciences in Engineering (HSE)

The Master of Science in Biomedical Data Science and AI prepares students with strong quantitative backgrounds to address the explosive growth of biomedical data in health care. The program teaches students to transform data into insights that customize treatments, analyze biomedical images, and improve health care delivery.

The department has established partnerships with leading institutions to expand educational opportunities and advance innovation in biomedical sciences.

The collaboration with Rensselaer Polytechnic Institute centers on the joint PhD program in Health Sciences Engineering, which launched through the Center for Engineering and Precision Medicine. This program combines engineering expertise from the Institute with medical expertise from Mount Sinai, focusing on reparative and regenerative medicine, immunoengineering, and neuroengineering. Students spend their first year immersed in engineering at the Institute and receive training in entrepreneurship and commercialization in their second year.

The partnership with the Hasso Plattner Institute for Digital Health at Mount Sinai advances research and education in digital health, data science, and artificial intelligence. Research programs include the Digital Discovery Program, which uses wearable and sensor technologies to understand complex diseases, and the AI Ready Mount Sinai platform, which links patient data to accelerate AI-based health care solutions.