Table 3 Categories of digital biomarkers.
From: Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Category | Definition | Corresponding digital biomarker examples |
---|---|---|
Susceptibility and risk biomarker | A biomarker that indicates the potential for developing a disease or medical condition in an individual who does not currently have clinically apparent disease or medical condition. | aDetect cognitive changes in healthy subjects at risk of developing Alzheimer’s disease using a video game platform139. |
Diagnostic biomarker | A biomarker used to detect or confirm the presence of a disease or condition of interest or to identify individuals with a subtype of the disease. | aDiagnose ADHD in children using eye vergence metrics140. aDetect depression and Parkinson’s disease using vocal biomarkers141. aDiagnose asthma and respiratory infections using smartphone-recorded cough sounds142. |
Monitoring biomarker | A biomarker measured serially for assessing the status of a disease or medical condition or for evidence of exposure to (or effect of) a medical product or an environmental agent. | aQuantify Parkinson’s disease severity using smartphones and machine learning143. bTrack time and location of short-acting beta-agonist inhaler use through an attached wireless sensor144. aDetection of nocturnal scratching movements in patients with atopic dermatitis using accelerometers and recurrent neural networks145. bMeasurements of sympathetic nervous impulses at the skin and inference of parasympathetic activity from heart rate variation to detect tonic-clonic epileptic seizures and immediately alert care providers146. bPortable electrocardiogram sensor associated to a smartphone app to monitor atrial fibrillation, bradycardia, tachycardia or normal heart rhythm and inform the clinician147. aMeasure adherence in treatment of schizophrenia and bipolar disorder with an ingestible digital pill148. |
Endpoint digital biomarkers in clinical trials | Endpoints generated by the use of mobile technologies in clinical setting. | aAccelerometer-derived motor abnormalities for use in Parkinson’s disease47. bMonitoring of multiple sclerosis patients with digital technologies by using active and passive tests (ClinicalTrials.gov Identifiers: NCT03523858; NCT02952911) bVirtual Reality Functional Capacity Assessment Tool as co-primary and secondary endpoint in schizophrenia and major depressive disorder139. |