Method and system for the analysis and source localization of the dynamical patterns in medical and health data, and linking such dynamical patterns with the individual's genetic and/or molecular data. The invention makes use of optimally positioned sensors (sensor arrays) providing input data for signal processing, time-series analysis, pattern recognition and mathematical modeling to facilitate dynamical tracking of systemic arterial pressure without a pressure cuff, local vascular activity, electrocardiographic (ECG), respiratory, physical, muscular, gastrointestinal and neural activity, temperature and other physiological/health data. The invention also facilitates separation of local signals (such as local aneurisms or local vascular activity) from non-local, central or systemic patterns (e.g. systemic blood pressure). In addition, the invention improves identification of dynamical patterns associated with a specific genotype/disorder for screening, personalized risk assessment, diagnosis and treatment control. The system can be implemented in a specialized processor, such as an ambulatory blood pressure monitor, Electrocardiograph, Holter monitor located outside subject's body or implanted inside the body, mobile/cell phone or Smart Phone/Personal Digital Assistant, computer or computer network (the Internet), including wireless or mobile network. The system can be also linked to the electronic health/medical records and other databases.