{"id":"W4400308951","doi":"10.1002/advs.202400595","title":"Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies","year":2024,"lang":"en","type":"review","venue":"Advanced Science","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Wearable computer; Biomarker; Point of care; Biomarker discovery; Wearable technology; Computer science; Disease; Data science; Medicine; Nanotechnology; Embedded system; Biology; Pathology; Materials science; Proteomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146612,0.0008597751,0.001065864,0.002829754,0.000317955,0.001515996,0.0008856147,0.001524617,0.004424415],"category_scores_gemma":[0.00175505,0.0002766301,0.0009423699,0.002244537,0.0006504299,0.001701046,0.000986013,0.002134131,0.002068832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008912733,"about_ca_system_score_gemma":0.001784132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077075,"about_ca_topic_score_gemma":0.001782175,"domain_scores_codex":[0.9994734,0.0001154847,0.00006159209,0.00008258856,0.0002151529,0.00005175229],"domain_scores_gemma":[0.9991174,0.000535954,0.00008003968,0.00003005357,0.0001961684,0.00004039849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005550802,0.00009090028,0.0002985897,0.02665558,0.0001290283,0.0001951249,0.0001235963,0.0006183321,0.002967745,0.02634832,0.03192466,0.9105926],"study_design_scores_gemma":[0.00001228903,0.00009770594,0.0005358413,0.006358251,0.0001087287,0.0006977607,0.00008831998,0.0002538593,0.00122283,0.006067537,0.9845331,0.00002365314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002158976,0.9936535,0.001025745,0.0009203934,0.0004768922,0.00001554613,0.00003804907,0.00002459028,0.00362932],"genre_scores_gemma":[0.001513029,0.9959474,0.0008600123,0.000468629,0.0002262756,0.00001681081,0.00004228084,0.000003573907,0.000921946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004424415,"threshold_uncertainty_score":0.01480114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04882984214508966,"score_gpt":0.3904673908575631,"score_spread":0.3416375487124734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}