Lifelong learning opportunities for business and healthcare professionals around the world.
Artificial Intelligence in Health Care (online)
Duration: 6 weeks (excluding orientation)
The medical industry constantly strives to improve patient care, and better prediction is crucial in achieving this goal. Machine learning (ML) and artificial intelligence (AI) have proven to be effective tools for enhancing diagnosis, personalizing treatments, and understanding disease progression.
The Artificial Intelligence in Health Care online short course offered by the MIT Sloan School of Management and the MIT J-Clinic is a great option for those interested in exploring the potential impact of AI in healthcare. The course provides a comprehensive overview of AI’s applications and limitations in the healthcare industry, examines the challenges it can help address, and highlights successful AI deployments through industry case studies.
Regina Barzilay, world-renowned for her work in AI and breast cancer detection, leads the course, providing valuable insights and knowledge from MIT, a leading institution for developing ML methods with health care applications.
Deadline to enroll: March 19, 2024
Artificial Intelligence in Pharma and Biotech (online)
Duration: 6 weeks (excluding orientation)
Artificial intelligence (AI) and machine learning (ML) technologies are having a significant impact on innovation, with pharma and biotech being the latest industry to be affected. With the connection between drug discovery, technology, and business now clear, leaders and scientists need to become better equipped to leverage new developments in AI and ML.
In the Artificial Intelligence in Pharma and Biotech online short course from the MIT Sloan School of Management and MIT Jameel Clinic, you’ll gain insight into how technology is currently being applied in the pharmaceutical industry. Over six weeks, you’ll explore ways that ML is driving new drug discovery, learn how AI can be used to create more accurate biological and generative modeling, and explore how ML can be used to streamline the design and management of clinical trials. You’ll walk away with an understanding of the benefits and challenges of these technologies, allowing you to make informed, innovative decisions within this rapidly evolving space.
Deadline to enroll: April 2, 2024
