Datasets in Molecular Biology

Finding the needle in the haystack is what health data analytics is all about. Factors that can affect the needle found include poor data quality, poor data governance and poor data preparation. The use of data to create expert systems that operate similar or superior to physicians is the final innovation for healthcare. This innovation will intertwine the subject areas of artificial intelligence and genetic engineering. A dataset in molecular biology could predict whether a patient will have cancer in the future. There are several research and development initiatives aimed at creating what I call "ROBO-DOCTOR" which is an expert system for healthcare. This will incorporate the use of therapeutic and diagnostic data as well as a decision support system that can predict future health outcomes. 

The Medical Laboratory will be at the center of this innovation in health analytics/ healthcare informatics. This is due to fact that 70% of the data used for diagnosing patients are obtained from the Medical Laboratory.