Artificial Intelligence and it’s promise in predicting cancer outcome: every patient deserves their own equation. Dr. Sahirzeeshan Ali is a research scientist at the Center for Computation Imaging and Personalized Medicine (CCIPD) at Case Western Reserve Medical University and Seidman Cancer Center. Dr. Ali received a bachelor’s and master’s degrees in Electrical and Computer Engineering from Rutgers University (2009 & 2011) and a Ph.D in Biomedical Engineering from Case Western Reserve University. He also was the recipient of a Prostate Cancer Research Grant from the Department of Defense in 2014. Dr. Ali’s research interest lies in developing image analysis, statistical pattern recognition, machine learning and artificial intelligence tools to computationally interrogate biomedical image data of digital pathology tissue images. The tools can be used to predict disease progression and provide a score to clinicians on the aggressiveness of a patient’s disease, such as breast cancer and prostate cancer, which can in turn help physicians decide on appropriate treatment option. Dr. Ali has written more than 30 peer-reviewed journal, conference and abstract publications, appearing in journals such as Nature Scientific Reports, American Journal of Surgical Pathology, the Annual Review of Biomedical Engineering, Medical Image Analysis, IEEE Transactions on Medical Imaging. This research work has also culminated in various commercialized patents. In addition, Dr. Ali has consulted with hedge funds and fortune 100 companies as a Salesforce architect and machine learning expert. Over 10,000 views.
Content Editors rate, curate and regularly update what we believe are the top 11% of all AI resource and good practice examples and is why our content is rated from 90% to 100%. Content rated less than 90% is excluded from this site. All inclusions are vetted by experienced professionals with graduate level data science degrees.
In the broadest sense, any inclusion of content on this site is not an endorsement or recommendation of any service, product or content that may be discussed, recommended, endorsed or affiliated with the content, company or spokesperson. We are a 501(c)3 nonprofit and receive no website advertising monies or direct or indirect compensation for any content or other information on any of our websites. For more information, visit our TOS.