Statistical Diagnostic Can Be Made Possible Through DNA Micro arrays

<p style&equals;"text-align&colon; justify&semi;">As incomprehensible as this idea sounds&comma; DNA micro array has definite medical implications bringing about DNA testing that generates statistical statements&period; To understand it better&comma; it can be compared with the traditionally used methods of clinical diagnosis&period; The similarity is drawn by the assessment or analysis part where documented symptoms are assessed based on the knowledge and experience of a doctor&period; This assessment concludes to what is called diagnosis&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">This traditional method of diagnosis is based on a manual pattern-recognition by identifying symptoms and their sequence that are indicative of a disease-pattern&period; The traditional method of diagnosis is no simple process as it involves pattern recognition on many levels&period; The doctor first listens to the complaints a patient has regarding health&comma; followed by an on-spot physical examination as well as prescribed tests for a detailed inspection of organ functions&period; Once all the data has been collected&comma; the doctor analyses the patterns that are similar to various diseases and ultimately identifies the specific components or unique pattern leading to a diagnosis&period; This diagnosis is then used to look into appropriate therapy selection&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Microarray technology can be used as a tool for pattern recognition in medicine in the field of diagnostics&period; The use of minuscule chips will make disease markers to be quantifiable at the molecular level without the need for a patient to give an account of his or her health&comma; an on-spot physical examination as well as a detailed prescribed tests analysis&period; The idea is to supplement the diagnostic process with technology that is statistically accurate and can provide a more authentic source of pattern recognition&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Having determined the possibility of micro arrays as a viable diagnostic technology among other implications in medical research&comma; there are a lot of challenges that researchers and scientists need to overcome along with manufacturers and other experts such as mathematicians&period; The challenges faced include three basic concerns&period; First&comma; there are no preexisting technical standards for micro arrays in the field of diagnostics&period; Second&comma; the pattern-recognition mathematics of diagnostic microarrays is a statistician’s forte&semi; doctors are unlikely to make sense of these&period; Third&comma; except for infectious disease&comma; there are no available surrogate bio markers in the medical community&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">In the efforts to make diagnostic micro arrays a reality&comma; the challenges need to be faced by scientists&comma; the medical community&comma; IVD industry and regulatory institutions alike&period; To further articulate the trials of diagnostic micro arrays&comma; diagnostic nucleic acid micro arrays present a major concern&period; Going further&comma; on the manufacturing level&comma; the quality management during production process as well as that of the performance poses a major challenge in diagnostic micro arrays&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Most of the challenges discussed are with regards to the testing phase&period; Even after overcoming the arduous technical challenges&comma; when diagnostic micro arrays are brought into clinical practice&comma; manufacturing concerns will bring in hurdles such as accuracy and cost-effectiveness&period; But the identification of these challenges is certainly a step in the right direction&period; After identification&comma; working towards solutions to overcome these challenges will bring us to a point when you will be asked if you opt for a statistical diagnosis&period;<&sol;p>&NewLine;