Minimally Invasive Skin Transcriptome Extraction Using a Dermal Biomarker Patch.
Sherrif F IbrahimBradford J TaftYipeng WangByung-In LeeEric AndradeChristian AbayaShreya PramanickThejus MannathKatherine A HurleyTahir A MahmoodTobin J DickersonPublished in: Dermatology and therapy (2022)
This DBP enables an unprecedented ability to monitor the molecular "fingerprint" of the skin over time or with various interventions, and generate previously inaccessible rich datasets. Furthermore, use of the DBP could be favored by patients relative to biopsy by limiting pain resulting from biopsy procedures. Given the large dynamic range observed in psoriatic skin, analysis of complex phenotypes is now possible, and the power of machine-learning methods can be brought to bear on dermatologic disease.
Keyphrases
- wound healing
- minimally invasive
- machine learning
- end stage renal disease
- soft tissue
- newly diagnosed
- ejection fraction
- chronic kidney disease
- rna seq
- chronic pain
- rheumatoid arthritis
- ultrasound guided
- prognostic factors
- peritoneal dialysis
- fine needle aspiration
- physical activity
- single cell
- pain management
- genome wide
- neuropathic pain
- spinal cord injury
- systemic lupus erythematosus
- dna methylation
- deep learning
- disease activity
- single molecule