As the drug landscape grows increasingly competitive, it will be vital to gain an intimate, personalized understanding of how individual patients respond to medication to highlight a drug\u2019s value on their quality of life. Digital biomarkers powered by artificial intelligence (AI) are already providing critical insights to personalize care and draw more comprehensive conclusions about a therapy\u2019s impact. As they become more prevalent, their sensitive and objective data capture will not only change how clinical research is conducted, but also help deliver on the promise of precision medicine in the real world.<\/p>\n
Though wearables such as smartwatches are often thought of when referring to digital biomarkers, audio and visual biomarkers captured through the front-facing camera on patients\u2019 smartphones can provide a window into their disease progression and experience with treatment. Since most patients own and are comfortable using smartphones, this is an easy way to form a daily habit of sharing information via an app that captures biomarkers such as facial characteristics, vocal patterns, movement, and language content. These personalized insights can illuminate subtle changes in a patient\u2019s treatment response and general health that may otherwise be missed by data collection in-between clinic visits with wearable technologies.<\/p>\n
Visual and audio biomarkers can demonstrate a trajectory of patient health over time, which may inform whether a specific medication is a good fit for an individual patient and vice versa. The level of detail provided via AI-powered digital biomarkers enables doctors to decipher diverse symptom expressions to determine how multiple comorbidities may be interacting and if a therapy is performing properly.<\/p>\n
Audio and video measurements can also give insight into cross-therapeutic symptom areas, such as fatigue, pain, or sleep disturbances, that may reflect the impact of medication or disease progression. Combining data from digital biomarkers with other analytics like adherence data may enable clinicians to identify responders sooner, empowering them to make timely and personalized changes to patients\u2019 care plans as needed.<\/p>\n
The intimate window audio and video digital biomarkers open into patients\u2019 daily experiences with disease and treatment has the power to demonstrate new quality-of-life improvements for medications in a reliable, quantitative fashion. These measurable improvements can help highlight real-world value in areas such as cardiology to demonstrate a novel therapy\u2019s value over incumbent standard of care.<\/p>\n
For instance, if digital biomarkers in a clinical trial could show that a heart disease medication could restore or preserve patients\u2019 levels of function in activities of daily living, these substantial, data-backed improvements in patients\u2019 daily lives might help make the case for that drug\u2019s inclusion as a vital component of patient care.<\/p>\n
AI-powered video and audio digital biomarkers could be valuable in continuing to bring the concept of personalized medicine into reality. As technology advances, the depth of insights visual and audio digital biomarkers reveal across individual patient health and populations may bring forth a new standard of precision for both drug development and patient care.<\/p>\n","protected":false},"excerpt":{"rendered":"
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