Keyword search (4,163 papers available)

"diagnostic" Keyword-tagged Publications:

Title Authors PubMed ID
1 Wearable biosensors: A comprehensive overview Wu KY; Su ME; Kim Y; Nguyen L; Marchand M; Tran SD; 40683741
ENCS
2 All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions Safiabadi Tali SH; Al-Kassawneh M; Mansouri M; Sadiq Z; Jahanshahi-Anbuhi S; 40327804
ENCS
3 Self-Ambivalence Is Indirectly Associated With Obsessive-Compulsive and Eating Disorder Symptoms Through Different Feared Self-Themes Wilson S; Mesli N; Mehak A; Racine SE; 40227164
PSYCHOLOGY
4 Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P; 39920830
BIOLOGY
5 Update and validation of the Beliefs about Losing Control Inventory-II (BALCI-II): a psychometric investigation Kelly-Turner K; Radomsky AS; 39373713
PSYCHOLOGY
6 Are MEDLINE searches sufficient for systematic reviews and meta-analyses of the diagnostic accuracy of depression screening tools? A review of meta-analyses Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD; 27411746
LIBRARY
7 Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses Rice DB; Kloda LA; Shrier I; Thombs BD; 27864250
LIBRARY
8 At the mercy of myself: A thematic analysis of beliefs about losing control Kelly-Turner K; Radomsky AS; 38131416
PSYCHOLOGY
9 Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 36047034
PSYCHOLOGY
10 Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; 35362161
PSYCHOLOGY
11 Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; 35334411
PSYCHOLOGY
12 Should Burnout Be Conceptualized as a Mental Disorder? Nadon L; De Beer LT; Morin AJS; 35323401
PSYCHOLOGY
13 Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses Wu Y; Levis B; Ioannidis JPA; Benedetti A; Thombs BD; 32814337
LIBRARY
14 Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff JT; Cuijpers P; Gilbody S; McMillan D; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Henry M; Ismail Z; Loiselle CG; Mitchell ND; Tonelli M; Al-Adawi S; Beraldi A; Braeken APBM; Büel-Drabe N; Bunevicius A; Carter G; Chen CK; Cheung G; Clover K; Conroy RM; Cukor D; da Rocha E Silva CE; Dabscheck E; Daray FM; Douven E; Downing MG; Feinstein A; Ferentinos PP; Fischer FH; Flint AJ; Fujimori M; Gallagher P; Gandy M; Goebel S; Grassi L; Härter M; Jenewein J; Jetté N; Julião M; Kim JM; Kim SW; Kjærgaard M; Köhler S; Loosman WL; Löwe B; Martin-Santos R; Massardo L; Matsuoka Y; Mehnert A; Michopoulos I; Misery L; Navines R; O' Donnell ML; Öztürk A; Peceliuniene J; Pintor L; Ponsford JL; Quinn TJ; Reme SE; Reuter K; Rooney AG; Sánchez-González R; Schwarzbold ML; Senturk Cankorur V; Shaaban J; Sharpe L; Sharpe M; Simard S; Singer S; Stafford L; Stone J; Sultan S; Teixeira AL; Tiringer I; Turner A; Walker J; Walterfang M; Wang LJ; White J; Wong DK; Benedetti A; Thombs BD; 31911325
LIBRARY
15 Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; Imran M; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Alvarado R; Alvarado-Esquivel C; Bakare MO; Barnes J; Beck CT; Bindt C; Boyce PM; Bunevicius A; Couto TCE; Chaudron LH; Correa H; de Figueiredo FP; Eapen V; Fernandes M; Figueiredo B; Fisher JRW; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Khalifa DS; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Lewis BA; Maes M; Meuti V; Nakic Radoš S; Navarro García P; Nishi D; Okitundu Luwa E-Andjafono D; Robertson-Blackmore E; Rochat TJ; Rowe HJ; Siu BWM; Skalkidou A; Stein A; Stewart RC; Su KP; Sundström-Poromaa I; Tadinac M; Tandon SD; Tendais I; Thiagayson P; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Wynter K; Yonkers KA; Benedetti A; Thombs BD; 31568624
LIBRARY
16 Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Akena DH; Arroll B; Ayalon L; Baradaran HR; Baron M; Bombardier CH; Butterworth P; Carter G; Chagas MH; Chan JCN; Cholera R; Conwell Y; de Man-van Ginkel JM; Fann JR; Fischer FH; Fung D; Gelaye B; Goodyear-Smith F; Greeno CG; Hall BJ; Harrison PA; Härter M; Hegerl U; Hides L; Hobfoll SE; Hudson M; Hyphantis T; Inagaki M; Jetté N; Khamseh ME; Kiely KM; Kwan Y; Lamers F; Liu SI; Lotrakul M; Loureiro SR; Löwe B; McGuire A; Mohd-Sidik S; Munhoz TN; Muramatsu K; Osório FL; Patel V; Pence BW; Persoons P; Picardi A; Reuter K; Rooney AG; Santos IS; Shaaban J; Sidebottom A; Simning A; Stafford L; Sung S; Tan PLL; Turner A; van Weert HC; White J; Whooley MA; Winkley K; Yamada M; Benedetti A; Thombs BD; 31298180
LIBRARY
17 Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M 27075844
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Title:Wearable biosensors: A comprehensive overview
Authors:Wu KYSu MEKim YNguyen LMarchand MTran SD
Link:https://pubmed.ncbi.nlm.nih.gov/40683741/
DOI:10.1016/bs.pmbts.2025.05.011
Publication:Progress in molecular biology and translational science
Keywords:Continuous monitoringHealthcare innovationMultifunctional contact lensesNon-invasive diagnosticsPersonalized treatmentWearable biosensors
PMID:40683741 Category: Date Added:2025-07-20
Dept Affiliation: ENCS
1 Department of Surgery, Division of Ophthalmology, University of Sherbrooke, Sherbrooke, QC, Canada.
2 Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.
3 Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada.
4 Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC, Canada.
5 Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada. Electronic address: simon.tran@mcgill.ca.

Description:

Wearable biosensors are revolutionizing the landscape of modern healthcare by enabling continuous, non-invasive monitoring and real-time diagnostics across a myriad of medical applications. This chapter provides a comprehensive overview of wearable biosensors, beginning with an exploration of their fundamental components, including biological elements, transducers, and electronic interfaces. It categorizes these devices based on the types of biological matrices they utilize, such as tears and saliva, and the nanomaterials and transduction mechanisms that underpin their functionality. Highlighting state-of-the-art advancements, the chapter delves into specific applications in ophthalmology and oral health, showcasing innovative tear-based sensors for monitoring intraocular pressure and glucose levels, as well as saliva-based devices for detecting oral diseases and systemic biomarkers. Through detailed examples, such as multifunctional contact lenses and smart mouthguards, the chapter illustrates the potential of these technologies to transform disease detection, health monitoring, and personalized treatment strategies. Additionally, it addresses the current challenges in wearable biosensor development, including issues of sensor accuracy, durability, and user comfort, while outlining future directions for research and integration into everyday healthcare practices. This chapter aims to provide readers with a thorough understanding of wearable biosensors' current state, innovations, and future potential in enhancing health and wellness monitoring.





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