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Thanks to advances in molecular biology and biochemistry, scientist have been able to consistently detect lower and lower concentration of molecules, to the point that, to date, single molecules can be reliably recognised with methods such as polymerase chain reaction (PCR) or fluorescence in situ hybridization (FISH). This has opened doors for better and more accurate diagnostic tests that biomarkers like nucleic acids and proteins as targets. Through such advances, the field of molecular diagnostics developed. Unfortunately, current standard methods require expensive equipment or trained personnel, which generally limits their usability to hospitals or laboratories. Only in recent times has there been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as gene chips or paper strips. We wanted to help close this gap and set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used without difficult technical requirements. | Thanks to advances in molecular biology and biochemistry, scientist have been able to consistently detect lower and lower concentration of molecules, to the point that, to date, single molecules can be reliably recognised with methods such as polymerase chain reaction (PCR) or fluorescence in situ hybridization (FISH). This has opened doors for better and more accurate diagnostic tests that biomarkers like nucleic acids and proteins as targets. Through such advances, the field of molecular diagnostics developed. Unfortunately, current standard methods require expensive equipment or trained personnel, which generally limits their usability to hospitals or laboratories. Only in recent times has there been a push to develop new tests that fuse the reliability of standard methods with affordable platforms such as gene chips or paper strips. We wanted to help close this gap and set out to engineer a diagnosis principle for the detection of a wide array of targets that could be used without difficult technical requirements. | ||
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Revision as of 14:15, 4 October 2017