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This research paper will discuss the various technological innovations that have been developed within the past, are being developed in the present and will be developed in the future to bring progressive change within the healthcare industry. In particular, the way artificial intelligence and deep learning has brought about new methods for making task more efficient, less time consuming, and possibly more accurate. This study will discuss the different positive and negative effects of these technological methods to best see how artificial intelligence (AI) and deep learning is impacting the health industry in all areas. With supportive interviews from medical professionals, data scientist, and machine learning researchers, the analysis of real-world experiences and scenarios will provide more insight to what is beneficial or ineffective. The study utilizes extensive literary works to examine in detail the current AI and deep learning new approach to medicine, the risk and ethical concerns, the technological challenges from determining the best algorithms, and myths versus reality surrounded by this subject. 

Security and privacy, regardless of the instance, are preponderating topics for most organizations. Bioinformatics and the study of computational biology are no exception. The premise of this report is to discuss the many different privacy concerns as it pertains to the field of bioinformatics, as well as the usage and storage of personal biodata. With the varying threats that target average users of technology, is the capability and infrastructure currently in place to protect users against a leakage or breach in personal data? This study discusses the different concerns surrounding the field of bioinformatics, how the data and personal information is currently stored, and will make recommendations on how to mitigate the risks associated with the usage and storage of personal biodata. This study includes interviews from bioinformaticians and industry professionals, a survey of adults who have the potential for impact, and current legislature that exists to address personal data protection. 

This report discusses a variety of societal and ethical laws with respect to autonomous vehicles and their gradual deployment across the United States of America. With companies like Tesla deploying weapons that’ve already being legally faulted with being the cause of tragic road accidents, a deeper analysis of the timeline for deployment is imperative. This report will present the evolution of autonomous vehicles, societal challenges they’ve faced while operating, ethical challenges faced in developing optimal AV algorithms and software, as well as a synopsis of how U.S. citizens feel about these weapons. The findings of this research may suggest the following: most U.S. citizens feel safer inside of an AV as opposed to outside of one, most U.S. citizens feel that AVs pose great threat to their communities, further deployment of these vehicles will require a revamp of traffic laws and regulation, and manufacturers will not take accountability for faulty vehicles.