Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(23)00250-9
Ruiyang Ge PhD , Yuetong Yu BSc , Yi Xuan Qi BSc , Yu-nan Fan BSc , Shiyu Chen BSc , Chuntong Gao BSc , Shalaila S Haas PhD , Faye New MA , Prof Dorret I Boomsma PhD , Prof Henry Brodaty DSc , Rachel M Brouwer PhD , Prof Randy Buckner PhD , Xavier Caseras PhD , Fabrice Crivello PhD , Prof Eveline A Crone PhD , Prof Susanne Erk MD , Prof Simon E Fisher Dphil , Prof Barbara Franke PhD , Prof David C Glahn PhD , Prof Udo Dannlowski MD , Kevin Yu
The value of normative models in research and clinical practice relies on their robustness and a systematic comparison of different modelling algorithms and parameters; however, this has not been done to date. We aimed to identify the optimal approach for normative modelling of brain morphometric data through systematic empirical benchmarking, by quantifying the accuracy of different algorithms and identifying parameters that optimised model performance. We developed this framework with regional morphometric data from 37 407 healthy individuals (53% female and 47% male; aged 3–90 years) from 87 datasets from Europe, Australia, the USA, South Africa, and east Asia following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The multivariate fractional polynomial regression (MFPR) emerged as the preferred algorithm, optimised with non-linear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3000 study participants. This model can inform about the biological and behavioural implications of deviations from typical age-related neuroanatomical changes and support future study designs. The model and scripts described here are freely available through CentileBrain.
{"title":"Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation","authors":"Ruiyang Ge PhD , Yuetong Yu BSc , Yi Xuan Qi BSc , Yu-nan Fan BSc , Shiyu Chen BSc , Chuntong Gao BSc , Shalaila S Haas PhD , Faye New MA , Prof Dorret I Boomsma PhD , Prof Henry Brodaty DSc , Rachel M Brouwer PhD , Prof Randy Buckner PhD , Xavier Caseras PhD , Fabrice Crivello PhD , Prof Eveline A Crone PhD , Prof Susanne Erk MD , Prof Simon E Fisher Dphil , Prof Barbara Franke PhD , Prof David C Glahn PhD , Prof Udo Dannlowski MD , Kevin Yu","doi":"10.1016/S2589-7500(23)00250-9","DOIUrl":"10.1016/S2589-7500(23)00250-9","url":null,"abstract":"<div><p>The value of normative models in research and clinical practice relies on their robustness and a systematic comparison of different modelling algorithms and parameters; however, this has not been done to date. We aimed to identify the optimal approach for normative modelling of brain morphometric data through systematic empirical benchmarking, by quantifying the accuracy of different algorithms and identifying parameters that optimised model performance. We developed this framework with regional morphometric data from 37 407 healthy individuals (53% female and 47% male; aged 3–90 years) from 87 datasets from Europe, Australia, the USA, South Africa, and east Asia following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The multivariate fractional polynomial regression (MFPR) emerged as the preferred algorithm, optimised with non-linear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3000 study participants. This model can inform about the biological and behavioural implications of deviations from typical age-related neuroanatomical changes and support future study designs. The model and scripts described here are freely available through <span>CentileBrain</span><svg><path></path></svg>.</p></div>","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750023002509/pdfft?md5=cb176af4fc6356ebca14f1a13d8d4880&pid=1-s2.0-S2589750023002509-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139928645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(23)00252-2
Prof Dallas Swendeman PhD , Prof Mary Jane Rotheram-Borus PhD , Prof Elizabeth Mayfield Arnold PhD , Prof Maria Isabel Fernández PhD , Prof Walter Scott Comulada DrPH , Prof Sung-Jae Lee PhD , Prof Manuel A Ocasio PhD , Kelsey Ishimoto BS , William Gertsch BS , Prof Naihua Duan PhD , Cathy J Reback PhD , Prof Debra A Murphy PhD , Katherine A Lewis MPH
Background
Pre-exposure prophylaxis (PrEP), condom use, post-exposure prophylaxis (PEP), and sexual partner reduction help to prevent HIV acquisition but have low uptake among young people. We aimed to assess the efficacy of automated text messaging and monitoring, online peer support, and strengths-based telehealth coaching to improve uptake of and adherence to PrEP, condom use, and PEP among adolescents aged 12–24 years at risk of HIV acquisition in Los Angeles, CA, USA, and New Orleans, LA, USA.
Methods
We conducted a four-arm randomised controlled factorial trial, assessing interventions designed to support uptake and adherence of HIV prevention options (ie, PrEP, PEP, condom use, and sexual partner reduction). We recruited young people aged 12–24 years who were at risk of HIV acquisition from 13 community-based organisations, adolescent medicine clinics, and organisations serving people who are unstably housed, people who were previously incarcerated, and other vulnerable young people, and through dating apps, peer referrals, and social venues and events in Los Angeles, CA, USA, and New Orleans, LA, USA. Young people who tested seronegative and reported being gay, bisexual, or other men who have sex with men, transgender men or women, or gender diverse (eg. non-binary or genderqueer) were eligible for inclusion. Participants were randomly assigned to one of four intervention groups in a factorial design: automated text messaging and monitoring (AMMI) only, AMMI plus peer support via private social media, AMMI plus strengths-based telehealth coaching by near-peer paraprofessionals, or AMMI plus peer support and coaching. Assignment was further stratified by race or ethnicity and sexual orientation within each interviewer's group of participants. Participants were masked to intervention assignment until after baseline interviews when offered their randomly assigned intervention, and interviewers were masked throughout the study. Interventions were available throughout the 24-month follow-up period, and participants completed baseline and follow-up assessments, including rapid diagnostic tests for sexually transmitted infections, HIV, and substance use, at 4-month intervals over 24 months. The primary outcomes were uptake and adherence to HIV prevention options over 24 months, measured by self-reported PrEP use and adherence, consistent condom use with all partners, PEP prescription and adherence, and number of sexual partners in participants with at least one follow-up. We used Bayesian generalised linear modelling to assess changes in outcomes over time comparing the four study groups. This study is registered with ClinicalTrials.gov (NCT03134833) and is completed.
Findings
We screened 2314 adolescents beginning May 1, 2017, to enrol 1037 participants (45%) aged 16–24 years between May 6, 2017, and Aug 30
{"title":"Optimal strategies to improve uptake of and adherence to HIV prevention among young people at risk for HIV acquisition in the USA (ATN 149): a randomised, controlled, factorial trial","authors":"Prof Dallas Swendeman PhD , Prof Mary Jane Rotheram-Borus PhD , Prof Elizabeth Mayfield Arnold PhD , Prof Maria Isabel Fernández PhD , Prof Walter Scott Comulada DrPH , Prof Sung-Jae Lee PhD , Prof Manuel A Ocasio PhD , Kelsey Ishimoto BS , William Gertsch BS , Prof Naihua Duan PhD , Cathy J Reback PhD , Prof Debra A Murphy PhD , Katherine A Lewis MPH","doi":"10.1016/S2589-7500(23)00252-2","DOIUrl":"10.1016/S2589-7500(23)00252-2","url":null,"abstract":"<div><h3>Background</h3><p>Pre-exposure prophylaxis (PrEP), condom use, post-exposure prophylaxis (PEP), and sexual partner reduction help to prevent HIV acquisition but have low uptake among young people. We aimed to assess the efficacy of automated text messaging and monitoring, online peer support, and strengths-based telehealth coaching to improve uptake of and adherence to PrEP, condom use, and PEP among adolescents aged 12–24 years at risk of HIV acquisition in Los Angeles, CA, USA, and New Orleans, LA, USA.</p></div><div><h3>Methods</h3><p>We conducted a four-arm randomised controlled factorial trial, assessing interventions designed to support uptake and adherence of HIV prevention options (ie, PrEP, PEP, condom use, and sexual partner reduction). We recruited young people aged 12–24 years who were at risk of HIV acquisition from 13 community-based organisations, adolescent medicine clinics, and organisations serving people who are unstably housed, people who were previously incarcerated, and other vulnerable young people, and through dating apps, peer referrals, and social venues and events in Los Angeles, CA, USA, and New Orleans, LA, USA. Young people who tested seronegative and reported being gay, bisexual, or other men who have sex with men, transgender men or women, or gender diverse (eg. non-binary or genderqueer) were eligible for inclusion. Participants were randomly assigned to one of four intervention groups in a factorial design: automated text messaging and monitoring (AMMI) only, AMMI plus peer support via private social media, AMMI plus strengths-based telehealth coaching by near-peer paraprofessionals, or AMMI plus peer support and coaching. Assignment was further stratified by race or ethnicity and sexual orientation within each interviewer's group of participants. Participants were masked to intervention assignment until after baseline interviews when offered their randomly assigned intervention, and interviewers were masked throughout the study. Interventions were available throughout the 24-month follow-up period, and participants completed baseline and follow-up assessments, including rapid diagnostic tests for sexually transmitted infections, HIV, and substance use, at 4-month intervals over 24 months. The primary outcomes were uptake and adherence to HIV prevention options over 24 months, measured by self-reported PrEP use and adherence, consistent condom use with all partners, PEP prescription and adherence, and number of sexual partners in participants with at least one follow-up. We used Bayesian generalised linear modelling to assess changes in outcomes over time comparing the four study groups. This study is registered with <span>ClinicalTrials.gov</span><svg><path></path></svg> (<span>NCT03134833</span><svg><path></path></svg>) and is completed.</p></div><div><h3>Findings</h3><p>We screened 2314 adolescents beginning May 1, 2017, to enrol 1037 participants (45%) aged 16–24 years between May 6, 2017, and Aug 30","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750023002522/pdfft?md5=e03faf9725d693c95beb1c02158e9cd5&pid=1-s2.0-S2589750023002522-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(23)00244-3
Brenda Y Miao BA , Madhumita Sushil PhD , Ava Xu PharmD , Michelle Wang PharmD , Douglas Arneson PhD , Ellen Berkley PharmD , Meera Subash MD , Rohit Vashisht PhD , Prof Vivek Rudrapatna MD , Prof Atul J Butte MD
Digital therapeutics (DTx) are a somewhat novel class of US Food and Drug Administration-regulated software that help patients prevent, manage, or treat disease. Here, we use natural language processing to characterise registered DTx clinical trials and provide insights into the clinical development landscape for these novel therapeutics. We identified 449 DTx clinical trials, initiated or expected to be initiated between 2010 and 2030, from ClinicalTrials.gov using 27 search terms, and available data were analysed, including trial durations, locations, MeSH categories, enrolment, and sponsor types. Topic modelling of eligibility criteria, done with BERTopic, showed that DTx trials frequently exclude patients on the basis of age, comorbidities, pregnancy, language barriers, and digital determinants of health, including smartphone or data plan access. Our comprehensive overview of the DTx development landscape highlights challenges in designing inclusive DTx clinical trials and presents opportunities for clinicians and researchers to address these challenges. Finally, we provide an interactive dashboard for readers to conduct their own analyses.
{"title":"Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing","authors":"Brenda Y Miao BA , Madhumita Sushil PhD , Ava Xu PharmD , Michelle Wang PharmD , Douglas Arneson PhD , Ellen Berkley PharmD , Meera Subash MD , Rohit Vashisht PhD , Prof Vivek Rudrapatna MD , Prof Atul J Butte MD","doi":"10.1016/S2589-7500(23)00244-3","DOIUrl":"10.1016/S2589-7500(23)00244-3","url":null,"abstract":"<div><p>Digital therapeutics (DTx) are a somewhat novel class of US Food and Drug Administration-regulated software that help patients prevent, manage, or treat disease. Here, we use natural language processing to characterise registered DTx clinical trials and provide insights into the clinical development landscape for these novel therapeutics. We identified 449 DTx clinical trials, initiated or expected to be initiated between 2010 and 2030, from <span>ClinicalTrials.gov</span><svg><path></path></svg> using 27 search terms, and available data were analysed, including trial durations, locations, MeSH categories, enrolment, and sponsor types. Topic modelling of eligibility criteria, done with BERTopic, showed that DTx trials frequently exclude patients on the basis of age, comorbidities, pregnancy, language barriers, and digital determinants of health, including smartphone or data plan access. Our comprehensive overview of the DTx development landscape highlights challenges in designing inclusive DTx clinical trials and presents opportunities for clinicians and researchers to address these challenges. Finally, we provide an interactive dashboard for readers to conduct their own analyses.</p></div>","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750023002443/pdfft?md5=6adfa69ccbb9b8f640efb10ace4eabd1&pid=1-s2.0-S2589750023002443-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(23)00249-2
Roos Edgar MSc , Niels T B Scholte MD , Kambiz Ebrahimkheil MSc , Marc A Brouwer MD PhD , Rypko J Beukema MD PhD , Masih Mafi-Rad MD PhD , Prof Kevin Vernooy MD PhD , Sing-Chien Yap MD PhD , Eelko Ronner MD PhD , Prof Nicolas van Mieghem MD PhD , Prof Eric Boersma PhD , Peter C Stas MSc , Prof Niels van Royen MD PhD , Judith L Bonnes MD PhD
Background
Unwitnessed out-of-hospital cardiac arrest is associated with low survival chances because of the delayed activation of the emergency medical system in most cases. Automated cardiac arrest detection and alarming using biosensor technology would offer a potential solution to provide early help. We developed and validated an algorithm for automated circulatory arrest detection using wrist-derived photoplethysmography from patients with induced circulatory arrests.
Methods
In this prospective multicentre study in three university medical centres in the Netherlands, adult patients (aged 18 years or older) in whom short-lasting circulatory arrest was induced as part of routine practice (transcatheter aortic valve implantation, defibrillation testing, or ventricular tachycardia induction) were eligible for inclusion. Exclusion criteria were a known bilateral significant subclavian artery stenosis or medical issues interfering with the wearing of the wristband. After providing informed consent, patients were equipped with a photoplethysmography wristband during the procedure. Invasive arterial blood pressure and electrocardiography were continuously monitored as the reference standard. Development of the photoplethysmography algorithm was based on three consecutive training cohorts. For each cohort, patients were consecutively enrolled. When a total of 50 patients with at least one event of circulatory arrest were enrolled, that cohort was closed. Validation was performed on the fourth set of included patients. The primary outcome was sensitivity for the detection of circulatory arrest.
Findings
Of 306 patients enrolled between March 14, 2022, and April 21, 2023, 291 patients were included in the data analysis. In the development phase (n=205), the first training set yielded a sensitivity for circulatory arrest detection of 100% (95% CI 94–100) and four false positive alarms; the second training set yielded a sensitivity of 100% (94–100), with six false positive alarms; and the third training set yielded a sensitivity of 100% (94–100), with two false positive alarms. In the validation phase (n=86), the sensitivity for circulatory arrest detection was 98% (92–100) and 11 false positive circulatory arrest alarms. The positive predictive value was 90% (95% CI 82–94).
Interpretation
The automated detection of induced circulatory arrests using wrist-derived photoplethysmography is feasible with good sensitivity and low false positives. These promising findings warrant further development of this wearable technology to enable automated cardiac arrest detection and alarming in a home setting.
{"title":"Automated cardiac arrest detection using a photoplethysmography wristband: algorithm development and validation in patients with induced circulatory arrest in the DETECT-1 study","authors":"Roos Edgar MSc , Niels T B Scholte MD , Kambiz Ebrahimkheil MSc , Marc A Brouwer MD PhD , Rypko J Beukema MD PhD , Masih Mafi-Rad MD PhD , Prof Kevin Vernooy MD PhD , Sing-Chien Yap MD PhD , Eelko Ronner MD PhD , Prof Nicolas van Mieghem MD PhD , Prof Eric Boersma PhD , Peter C Stas MSc , Prof Niels van Royen MD PhD , Judith L Bonnes MD PhD","doi":"10.1016/S2589-7500(23)00249-2","DOIUrl":"10.1016/S2589-7500(23)00249-2","url":null,"abstract":"<div><h3>Background</h3><p>Unwitnessed out-of-hospital cardiac arrest is associated with low survival chances because of the delayed activation of the emergency medical system in most cases. Automated cardiac arrest detection and alarming using biosensor technology would offer a potential solution to provide early help. We developed and validated an algorithm for automated circulatory arrest detection using wrist-derived photoplethysmography from patients with induced circulatory arrests.</p></div><div><h3>Methods</h3><p>In this prospective multicentre study in three university medical centres in the Netherlands, adult patients (aged 18 years or older) in whom short-lasting circulatory arrest was induced as part of routine practice (transcatheter aortic valve implantation, defibrillation testing, or ventricular tachycardia induction) were eligible for inclusion. Exclusion criteria were a known bilateral significant subclavian artery stenosis or medical issues interfering with the wearing of the wristband. After providing informed consent, patients were equipped with a photoplethysmography wristband during the procedure. Invasive arterial blood pressure and electrocardiography were continuously monitored as the reference standard. Development of the photoplethysmography algorithm was based on three consecutive training cohorts. For each cohort, patients were consecutively enrolled. When a total of 50 patients with at least one event of circulatory arrest were enrolled, that cohort was closed. Validation was performed on the fourth set of included patients. The primary outcome was sensitivity for the detection of circulatory arrest.</p></div><div><h3>Findings</h3><p>Of 306 patients enrolled between March 14, 2022, and April 21, 2023, 291 patients were included in the data analysis. In the development phase (n=205), the first training set yielded a sensitivity for circulatory arrest detection of 100% (95% CI 94–100) and four false positive alarms; the second training set yielded a sensitivity of 100% (94–100), with six false positive alarms; and the third training set yielded a sensitivity of 100% (94–100), with two false positive alarms. In the validation phase (n=86), the sensitivity for circulatory arrest detection was 98% (92–100) and 11 false positive circulatory arrest alarms. The positive predictive value was 90% (95% CI 82–94).</p></div><div><h3>Interpretation</h3><p>The automated detection of induced circulatory arrests using wrist-derived photoplethysmography is feasible with good sensitivity and low false positives. These promising findings warrant further development of this wearable technology to enable automated cardiac arrest detection and alarming in a home setting.</p></div><div><h3>Funding</h3><p>Dutch Heart Foundation (Hartstichting).</p></div>","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750023002492/pdfft?md5=30183ff9ce5a934aad25daa5cbcc6fb3&pid=1-s2.0-S2589750023002492-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(24)00019-0
Emre Sedar Saygili , Yasir S Elhassan , Cristina L Ronchi
{"title":"Is predicting metastatic phaeochromocytoma and paraganglioma still effective without methoxytyramine?","authors":"Emre Sedar Saygili , Yasir S Elhassan , Cristina L Ronchi","doi":"10.1016/S2589-7500(24)00019-0","DOIUrl":"10.1016/S2589-7500(24)00019-0","url":null,"abstract":"","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750024000190/pdfft?md5=d6f8667fcc30e857b9a7e4fc76704080&pid=1-s2.0-S2589750024000190-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139928642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(24)00026-8
The Lancet Digital Health Editors
{"title":"Thank you to The Lancet Digital Health's statistical and peer reviewers in 2023","authors":"The Lancet Digital Health Editors","doi":"10.1016/S2589-7500(24)00026-8","DOIUrl":"10.1016/S2589-7500(24)00026-8","url":null,"abstract":"","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750024000268/pdfft?md5=724984175e25d226dd913e171b33c902&pid=1-s2.0-S2589750024000268-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(24)00023-2
Ethan Moitra, Laura B Whiteley
{"title":"Reducing HIV incidence among young people identifying as sexual and gender minorities","authors":"Ethan Moitra, Laura B Whiteley","doi":"10.1016/S2589-7500(24)00023-2","DOIUrl":"10.1016/S2589-7500(24)00023-2","url":null,"abstract":"","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589750024000232/pdfft?md5=50aef8cd0234bf555e2fc95f1ae5c384&pid=1-s2.0-S2589750024000232-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139928662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1016/S2589-7500(24)00027-X
The Lancet Digital Health
{"title":"Digital transformation of ovarian cancer diagnosis and care","authors":"The Lancet Digital Health","doi":"10.1016/S2589-7500(24)00027-X","DOIUrl":"10.1016/S2589-7500(24)00027-X","url":null,"abstract":"","PeriodicalId":48534,"journal":{"name":"Lancet Digital Health","volume":null,"pages":null},"PeriodicalIF":30.8,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258975002400027X/pdfft?md5=4dde550fb4daff3a8ba10ec0e7322341&pid=1-s2.0-S258975002400027X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}