Point-of-care medical technologies for real world data and evidence generation

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in health care decisions. FDA and medical product developers are using RWD and RWE to support clinical trial designs and observational studies using mobile phones to generate innovative, new treatment approaches. In a study undertaken by us and published in the British Medical Journal, we evaluated the significance and efficacy of RWD generated from advanced technology-enabled non-invasive diagnostic screening (TES) using smartphones and other point-of-care medical imaging devices vs. conventional vital signs examinations [1]. This study led to significant insights regarding strategies for developing technologies at MIT that are ready for deployment and designed for effective and scalable primary care and RWE generation. For example:

  1. 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 have been published [2, 3, 4].
  2. We have open-sourced the construction and the algorithm of porphyrin imaging devices and also created a cell-phone clip that can be used on a mobile phone camera [5].
  3. For biomarkers, such as matrix metalloproteinases-8 and -9 linked to oral diseases, that cannot be imaged, in collaboration with MIT Chemical Engineering, we have developed and published protocols for a POC lateral flow diagnostic strip to detect the biomarkers in human saliva samples [6].
  4. 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) has been published [7].


  1. 2018. Technology-enabled examinations of cardiac rhythm, optic nerve, oral health, tympanic membrane, gait and coordination evaluated jointly with routine health screenings: an observational study at the 2015 Kumbh Mela in India [Abstract] [Full Paper]

    Pratik Shah*, Yauney G, Gupta O, Patalano V, Mohit M, Merchant R, Subramanian SV

    (*Senior author supervising research, Contributed equally)

    The British Medical Journal Open

  2. 2018. Digital reconstruction and tomograhy of teeth using near-infrared light

    Keith Angelino, Satat G, Yauney G, Muftu A, Edlund D, Camus E, Shah P*

    (*Senior author supervising research)

    2019 SPIE Medical Imaging Conference-(Under Review)

  3. 2017. Near-infrared transillumination guides administration of dental 2D radiography and CBCT imaging [Abstract] [Full Paper]

    Keith Angelino, Edlund D, Bhatia G, Wu S, Shah P*

    (*Senior author supervising research, Selected for oral presentation)

    17th annual IEEE International Conference on BioInformatics and BioEngineering

  4. 2017. Near-infrared imaging for detecting caries and structural deformities in teeth [Abstract] [Full Paper]

    Keith Angelino, Edlund D and Shah P*

    (*Senior author supervising research)

    Journal of Translational Engineering in Health and Medicine, PMID: 28507826

  5. 2017. Clinical validation and assessment of a modular fluorescent imaging system and algorithm for rapid detection and quantification of dental plaque [Abstract] [Full Paper]

    Pratik Shah*, Angelino K, Edlund D, Mohit M, Yauney G

    (*Senior author supervising research, Contributed equally)

    BMC Oral, 2017, PMID: 29284461

  6. 2017. Detection of biomarkers of periodontal disease in human saliva using stabilized, vertical flow immunoassays [Abstract] [Full Paper]

    Emma Yee, Lathwal S, Shah P, Sikes H

    ACS Sensors, 2017, PMID: 29090909

  7. 2016. Design and preliminary evaluation of a wearable device for mass screening of sleep apnea [Abstract] [Full Paper]

    Rohan Puri, Athanasios A, Gill N, Sathya S, Rathod G, Wahi A, Satat G, Majmudar M, Shah P*

    (*Senior author supervising research)

    Conf Proc IEEE Eng Med Biol Soc, PMID: 28268691

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