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Global Translational Medicine Personalized, multi-omics disease detection

A B E

C D

Figure 2. A schematic representation of the envisioned future of healthcare and drug discovery, where wearable technology and multi-omics characterization
are fused to provide personalized, real-time health assessments and interventions. (A) The patient is monitored by wearable devices that unobtrusively track
vital signs and physiological parameters. (B) An automated alert system triggers a response when significant deviations occur, and (C) biosamples, which
have been sampled continuously and regularly from the beginning, are collected for (D) multi-omics characterization, which provides a unique molecular
profile of the patient. All data is summarized in a legible integrated personalized report. (E) The insights gleaned from the multi-omics characterization
serve as a powerful tool for healthcare providers, triggering additional measures, enabling early detection and tailored therapeutic interventions. The
illustration was created with BioRender.com.

7.1. Continuous health monitoring variability, body temperature, oxygen saturation or even sleep
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The patient is seamlessly monitored by wearable devices disturbances. The deviation could also constitute a general
that unobtrusively monitor his vital signs (such as heart rate, health decline, possibly due to drug-induced liver toxicity or
blood pressure, oxygenation levels, blood glucose, nitrogen other adverse side effects, particularly those that are unexpected.
levels, or others of relevance) and physiological parameters If the deviation is substantial and cannot be explained by dietary
(such as motion and sleep patterns). Supplementing the choices or any other self-reported incidents from the electronic
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wearable tech data are an electronic diary where the diary, the system would trigger a response.
patient logs food and supplements, intake of other drugs 7.3. Sample collection and transport
(such as prescribed, over-the-counter, or recreational)
and any self-reported ailments (e.g., the common cold In response to these alerts, a courier will be dispatched to
or a sprained ankle). These wearables are equipped with the individual’s location to collect stored biosamples, such
advanced sensors and machine learning algorithms that as dried blood spots, which have been routinely collected
establish personalized health baselines. They continuously on a daily or weekly basis by the participant themself.
track the participant’s health metrics and generate alerts Alternatively, a micro sampler device of the type used in
when significant deviations occur. iPOP research could be adapted for this purpose. These
samples serve as a snapshot of the individual’s physiology and
7.2. Automated alert system molecular composition during the period of deviation as well
When a deviation from the established baseline is detected, as for the baseline prior to the deviation. Dried blood spots
an automated alert is sent to a central computer program, can be easily obtained with a finger prick by the patient and
which assesses the data. For a sickle cell disease patient, this stored on a piece of paper at room temperature. Of course,
could include, but not be limited to, heart rate and heart rate pre- and post-assessment of analyte stability are pivotal.

Volume 3 Issue 1 (2024) 8 https://doi.org/10.36922/gtm.2357