On the Horizon
Real-time data mining is rapidly gaining in popularity because of its increased value over the traditional mining of a data warehouse or database. In clinical medicine, real-time data mining is being used to detect potential drug-drug interactions, allergic reactions, and other side effects at the time a prescription is ordered. The same approach can be extended to provide real-time analysis of drugs against a patient's genome, enabling the just-in-time delivery of custom drugs or as a means of detecting the likely side effects of standard drugs on a given patient. In the bioinformatics laboratory, real-time data mining of results as they are generated by a sequencing machine or microarray reader can provide researchers with indicators as to the value of the data, error rate, and relatedness of the data to previous studies.