The Machine Learning School for the School of Medicine (MLS-SOM) is being offered for the first time in March 2019. The MLS-SOM program is designed to introduce Duke University School of Medicine faculty and staff to machine learning and its current and anticipated impact on clinical practice.
AI-generated art has been trending in the news recently, and +DS is excited to announce the Duke AI for Art Competition. All Duke students, faculty and staff may submit visual art generated via artificial intelligence (AI). The art should be a digital image or video, and should be generated entirely by software run on a computer.
Machine learning is having an increasing impact across almost all areas of life, including healthcare, business, law, security, etc. Basic knowledge of machine learning is become important for many occupations. The Duke Machine Learning Winter School (MLWS) will provide an introduction to the basics of machine learning, with a focus on recent developments in deep learning. The MLWS will be delivered with the goal of being accessible to as broad an audience as possible, with an emphasis on intuition, and on how the technology is used in several application areas.
This program offers Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, paired with clinicians and professional data scientists, analyzing real data generated in the Duke Health System. Areas of focus include dermatology, ophthalmology, pathology, radiology and cardiology. In each project the focus will be on applying state-of-the-art deep learning technology to image analysis, with the goal of assisting clinicians in making decisions on diagnosis and delivery of care. The students will be mentored by leading Duke faculty involved in data science research, as well as by practicing clinicians.