Project

Research Area | Rapid Fabrication and Integration of Medical Devices and Technologies

Pratik Shah

Dr. Shah and his research lab at MIT has significant expertise and motivation to bring problems from the clinic and society into the laboratory to develop novel bioengineering solutions and perform real world prospective clinical evaluations. 

  • For example, in a study led by Dr. Shah, in collaboration with Harvard School of Public Health, published in the British Medical Journal evaluated the significance and efficacy of real world data generated from the United States Food and Drug Administration approved advanced technology-enabled, non-invasive diagnostic screening (TES) smartphones and other point-of-care medical imaging devices vs. conventional vital signs examinations (Project and publication link). This study led to significant insights regarding strategies for developing TES technologies at MIT that are ready for deployment and designed for effective and scalable primary care and real world evidence generation.
  • Dr. Shah is a Co-Principal Investigator in a collaboration with MIT Mechanical Engineering for  developing an affinity ligand-based whole-cell capture, concentration, and culture for sen… View full description

Dr. Shah and his research lab at MIT has significant expertise and motivation to bring problems from the clinic and society into the laboratory to develop novel bioengineering solutions and perform real world prospective clinical evaluations. 

  • For example, in a study led by Dr. Shah, in collaboration with Harvard School of Public Health, published in the British Medical Journal evaluated the significance and efficacy of real world data generated from the United States Food and Drug Administration approved advanced technology-enabled, non-invasive diagnostic screening (TES) smartphones and other point-of-care medical imaging devices vs. conventional vital signs examinations (Project and publication link). This study led to significant insights regarding strategies for developing TES technologies at MIT that are ready for deployment and designed for effective and scalable primary care and real world evidence generation.
  • Dr. Shah is a Co-Principal Investigator in a collaboration with MIT Mechanical Engineering for  developing an affinity ligand-based whole-cell capture, concentration, and culture for sensitive pathogen detection food safety tests. This microfluidic microbiological assay is suitable for implementation in an integrated bench top device for use by moderately-trained technicians directly at production sites in a format that preserves cells for further downstream testing (Project link).
  • In collaboration with MIT Chemical Engineering and other researchers Dr. Shah contributed to developing and publishing biochemistry protocols for a lateral flow diagnostic strip and bio-digital wearable devices to detect biomarkers in human saliva samples. Biomarkers such as matrix metalloproteinases-8 and -9, pH and nitric oxide linked to oral diseases, stress and human physiology have been successfully integrated with our platforms (Project and publication link). 
  • A study of a low-cost mask to screen for sleep apnea through physiological monitoring: respiratory activity (airflow and nasal air pressure) and sleep behavior (motion and noise) was published (Project and publication link).
  •  Dr. Shah led research projects that reported construction and validation of low-cost, point-of-care, near-infrared imaging devices to diagnose dental caries, cracks, and demineralization without the use of ionizing X-rays  (Project and publication link, Project and publication link, Project  and publication link).
  • Dr. Shah's research  has open-sourced the construction and the algorithm of porphyrin and other imaging device, ,and created a cell phone clip that can be used on a mobile phone camera (Project and publication link).

Studies led by Dr. Shah have supported patients and physicians by providing innovative medical technologies using mobile phones, microfluidics and digital devices for generating at home and point-of-care real world data and evidence.