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  1. Book ; Online ; E-Book: Artificial intelligence in healthcare

    Bohr, Adam / Memarzadeh, Kaveh

    2020  

    Author's details edited by Adam Bohr, Kaveh Memarzadeh
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xxvii, 355 Seiten), Illustrationen, Diagramme
    Publisher Elsevier Academic Press
    Publishing place London
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020570463
    ISBN 978-0-12-818439-4 ; 9780128184387 ; 0-12-818439-6 ; 0128184388
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Recovery duration and concussion severity in sport- and non-sport-related concussion among Pac-12 collegiate athletes: a retrospective cohort study.

    Konstantinides, Niki / Geraghty, Elisabeth / Harmon, Kimberly / Whelan, Bridget M / Poddar, Sourav K / Bohr, Adam

    BMJ open

    2024  Volume 14, Issue 4, Page(s) e079953

    Abstract: Objectives: To examine non-sport- and sport-related concussion severity, clinical care frequency and delayed reporting in relation to recovery duration among collegiate athletes.: Design: Retrospective cohort study.: Setting: Pac-12 varsity ... ...

    Abstract Objectives: To examine non-sport- and sport-related concussion severity, clinical care frequency and delayed reporting in relation to recovery duration among collegiate athletes.
    Design: Retrospective cohort study.
    Setting: Pac-12 varsity collegiate athletes.
    Participants: 461 collegiate male and female athletes PRIMARY AND SECONDARY OUTCOME MEASURES: The incidence of sport-related concussion (SRC) and non-sport-related concussion (NRC) were collected as well as times to recovery and return-to-play (RTP), symptom score and symptom severity and reported a loss of consciousness (LOC), retrograde amnesia (RGA) and post-traumatic amnesia (PTA) following concussion incidence.
    Results: Among 461 concussions, 388 (84%) occurred within sport and 73 (16%) occurred outside of sport. NRC, on average, required 3.5 more days to become asymptomatic (HR: 0.73, 95%confidence interval: 0.56 to 0.96, p=0.02) and 7 more days to RTP (HR: 0.64, 95% confidence interval: 0.49 to 0.85, p<0.01) compared with SRC. NRC were associated with an increase of 1.83 (p=0.07) symptoms reported at the time of diagnosis, an increase of 6.95 (p=0.06) in symptom severity and a higher prevalence of reported LOC (22% NRC vs. 3% SRC, p
    Conclusion: NRC were associated with greater severity and longer recovery duration when compared with SRC in a cohort of collegiate athletes.
    MeSH term(s) Humans ; Male ; Retrospective Studies ; Brain Concussion/epidemiology ; Brain Concussion/complications ; Female ; Athletic Injuries/epidemiology ; Young Adult ; Athletes/statistics & numerical data ; Return to Sport/statistics & numerical data ; Recovery of Function ; Adolescent ; Time Factors ; Incidence ; Universities
    Language English
    Publishing date 2024-04-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-079953
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Association of Cardiac Arrest With Opioid Overdose in Transport.

    Ritter, Marissa L / Bohr, Adam D / McQueen, Matthew B

    Substance abuse : research and treatment

    2022  Volume 16, Page(s) 11782218221103582

    Abstract: Introduction: Drug overdose is the leading cause of injury-related death in the United States. It has been linked to respiratory depression and cardiac toxicity, both of which can lead to cardiac arrest. Despite this potential association, few studies ... ...

    Abstract Introduction: Drug overdose is the leading cause of injury-related death in the United States. It has been linked to respiratory depression and cardiac toxicity, both of which can lead to cardiac arrest. Despite this potential association, few studies have examined this relationship, particularly in transport to the hospital. The purpose of this research was to determine if there was a relationship between opioid overdose and cardiac arrest in transport.
    Methods: A sample (n = 1 000 000) was utilized from the National EMS Information System (NEMSIS) from the year 2019. A logistic regression model was used to predict cardiac arrest from dispatch reason with gender, race, and age included as controls.
    Results: Overdose-related dispatch reason was associated with an increased likelihood of cardiac arrest in transport (Odds Ratio = 1.65, 95% Confidence Interval: [1.22, 2.22]).
    Conclusions: Opioid overdose is associated with an increased incidence of cardiac arrest in transport in the United States.
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1458030-5
    ISSN 1547-0164 ; 1178-2218 ; 0889-7077
    ISSN (online) 1547-0164
    ISSN 1178-2218 ; 0889-7077
    DOI 10.1177/11782218221103582
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Pac-12 Health Analytics Program: An Innovative Approach to Health Care Operations, Data Analytics, and Clinical Research in Intercollegiate Athletics.

    Robell, Kevin C / Norcross, Marc F / Bohr, Adam D / Harmon, Kimberly G

    Journal of athletic training

    2022  Volume 58, Issue 7-8, Page(s) 655–663

    Abstract: The objective of this study was to describe the purpose, methods, and effects of the Pac-12 Health Analytics Program (HAP) approach on sports medicine informatics, research, analytics, and health care operations. Sports injury-surveillance initiatives ... ...

    Abstract The objective of this study was to describe the purpose, methods, and effects of the Pac-12 Health Analytics Program (HAP) approach on sports medicine informatics, research, analytics, and health care operations. Sports injury-surveillance initiatives have been supporting the clinical research community in sports medicine for nearly 4 decades. Whereas the initial systems tracked only a few sports, current surveillance programs have expanded to include entire professional and elite athlete organizations, providing important statistics on sports injury risk management. The HAP is a conference-wide data-sharing and-analytics program. It collects authorized, deidentified clinical data, encompassing multiple domains of sports medicine injury management, including sports injuries and illnesses, concussions, risk exposure, and COVID-19 testing elements. The HAP provides clinicians with access to curated data to inform evidence-based practice and support local health care operations with respect to emerging sports injury trends. The HAP supplies approved research groups with access to a data repository that describes a homogeneous, elite intercollegiate athlete sample, thereby supporting nonresearch clinical initiatives as well as contributions to peer-reviewed research that can improve the health and well-being of Pac-12 student-athletes. The HAP is a novel approach to sports injury epidemiology and surveillance that has allowed the Pac-12 Conference to meet larger objectives regarding improving the student-athlete experience and clinical research among its member schools. Data quality control has improved the accuracy of the data and value to clinical athletic trainers within the conference. Curated dashboards displaying aggregated project data offer clinicians data-driven decision-making tools that help inform sports injury risk management. As of 2021, the HAP had supported more than 3 dozen data requests. These investigations have resulted in numerous peer-reviewed research contributions to the sports medicine community with findings that have great potential to improve the health and well-being of Pac-12 student-athletes.
    MeSH term(s) Humans ; Athletic Injuries/epidemiology ; Athletic Injuries/prevention & control ; Data Science ; COVID-19 Testing ; Sports ; Athletes ; Delivery of Health Care ; Incidence ; Universities
    Language English
    Publishing date 2022-12-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2070051-9
    ISSN 1938-162X ; 1062-6050
    ISSN (online) 1938-162X
    ISSN 1062-6050
    DOI 10.4085/1062-6050-0063.22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Bioinspired polymer nanoparticles omit biophysical interactions with natural lung surfactant.

    Beck-Broichsitter, Moritz / Bohr, Adam

    Nanotoxicology

    2019  Volume 13, Issue 7, Page(s) 964–976

    Abstract: Herein, we report the attenuated impact of bioinspired nanoparticles on the essential function of lung surfactant. Colloidal particles made from poly(lactide) caused a significant loss of surfactant protein B (and C) from a natural lung surfactant ... ...

    Abstract Herein, we report the attenuated impact of bioinspired nanoparticles on the essential function of lung surfactant. Colloidal particles made from poly(lactide) caused a significant loss of surfactant protein B (and C) from a natural lung surfactant accompanied by a decline in surface activity under static conditions and surface area cycling. No such perturbation of lung surfactant composition and function was observed for polymer nanoparticles coated with bioinspired poly(2-methacryloyloxyethyl phosphorylcholine) (PMPC). More specifically, increasing the PMPC-coating layer thickness (≥3
    MeSH term(s) Animals ; Colloids ; Drug Delivery Systems ; Male ; Methacrylates/pharmacology ; Nanoparticles ; Phosphorylcholine/analogs & derivatives ; Phosphorylcholine/pharmacology ; Polyesters/pharmacology ; Pulmonary Surfactants/pharmacology ; Rabbits
    Chemical Substances Colloids ; Methacrylates ; Polyesters ; Pulmonary Surfactants ; Phosphorylcholine (107-73-3) ; poly(lactide) (459TN2L5F5) ; 2-methacryloyloxyethyl phosphorylcholine (59RU860S8D)
    Language English
    Publishing date 2019-06-20
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2237988-5
    ISSN 1743-5404 ; 1743-5390
    ISSN (online) 1743-5404
    ISSN 1743-5390
    DOI 10.1080/17435390.2019.1621400
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Association of Cardiac Arrest With Opioid Overdose in Transport

    Marissa L Ritter / Adam D Bohr / Matthew B McQueen

    Substance Abuse: Research and Treatment, Vol

    2022  Volume 16

    Abstract: Introduction: Drug overdose is the leading cause of injury-related death in the United States. It has been linked to respiratory depression and cardiac toxicity, both of which can lead to cardiac arrest. Despite this potential association, few studies ... ...

    Abstract Introduction: Drug overdose is the leading cause of injury-related death in the United States. It has been linked to respiratory depression and cardiac toxicity, both of which can lead to cardiac arrest. Despite this potential association, few studies have examined this relationship, particularly in transport to the hospital. The purpose of this research was to determine if there was a relationship between opioid overdose and cardiac arrest in transport. Methods: A sample (n = 1 000 000) was utilized from the National EMS Information System (NEMSIS) from the year 2019. A logistic regression model was used to predict cardiac arrest from dispatch reason with gender, race, and age included as controls. Results: Overdose-related dispatch reason was associated with an increased likelihood of cardiac arrest in transport (Odds Ratio = 1.65, 95% Confidence Interval: [1.22, 2.22]). Conclusions: Opioid overdose is associated with an increased incidence of cardiac arrest in transport in the United States.
    Keywords Public aspects of medicine ; RA1-1270
    Subject code 380
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Transformation of nanoparticles into compacts: A study on PLGA and celecoxib nanoparticles.

    Li, Yongquan / Li, Minshu / Rantanen, Jukka / Yang, Mingshi / Bohr, Adam

    International journal of pharmaceutics

    2021  Volume 611, Page(s) 121278

    Abstract: Oral delivery of nanoparticles possesses many advantages for delivery of active pharmaceutical ingredients (APIs) to the gastrointestinal tract. However, the poor physical stability of nanoparticles in liquid state is often a challenge. Removing water ... ...

    Abstract Oral delivery of nanoparticles possesses many advantages for delivery of active pharmaceutical ingredients (APIs) to the gastrointestinal tract. However, the poor physical stability of nanoparticles in liquid state is often a challenge. Removing water from the nanosuspensions and transforming the nanoparticles into solid particulate matter in the form of, e.g., tablets could be a potential approach to increase the stability of nanoparticles. The aim of this study was to transform nanoparticles into compacts and to investigate the redispersion of nanoparticles from compacts as well as the dissolution behavior of these compacts. DL-lactide-co-glycolide copolymer (PLGA) nanoparticles and celecoxib (CLX) nanoparticles were used as two model nanoparticle systems and fabricated into nano-embedded microparticles (NEMs) and subsequently compressed into compacts. The compacts were evaluated with respect to the redispersibility of the nanoparticles, as well as the dissolution characteristics of CLX. The results showed that the NEMs could be readily compressed into compacts with sufficient mechanical strength. The size of the redispersed PLGA nanoparticles from the compacts using 2-hydroxypropyl-β-cyclodextrin (HPβCD) as stabilizer was comparable to the original nanoparticles. In contrast, the redispersibility of CLX nanoparticles from the compacts was not as effective as for the PLGA nanoparticles evidenced by a significant increase in the size and polydispersity index (PDI) of the redispersed nanoparticles. Nonetheless, an obvious enhancement in dissolution rate of CLX was observed from the compacts with CLX nanoparticles. It is concluded that transforming polymeric nanoparticles into compacts via NEMs provides stabilization and allows redispersion into original nanoparticles. Despite the reduced redispersibility, compacts loaded with nanoparticles exhibited improved dissolution rate compared with the crystalline drug. Loading of nanoparticles into compacts is a promising approach to overcome the poor stability of nanoparticle within oral drug delivery of nanoparticles.
    MeSH term(s) 2-Hydroxypropyl-beta-cyclodextrin ; Celecoxib ; Drug Delivery Systems ; Nanoparticles ; Polymers
    Chemical Substances Polymers ; 2-Hydroxypropyl-beta-cyclodextrin (1I96OHX6EK) ; Celecoxib (JCX84Q7J1L)
    Language English
    Publishing date 2021-11-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 428962-6
    ISSN 1873-3476 ; 0378-5173
    ISSN (online) 1873-3476
    ISSN 0378-5173
    DOI 10.1016/j.ijpharm.2021.121278
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The rise of artificial intelligence in healthcare applications

    Bohr, Adam / Memarzadeh, Kaveh

    Artificial Intelligence in Healthcare

    Abstract: Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and ... ...

    Abstract Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living.
    Keywords covid19
    Publisher Elsevier; PMC
    Document type Article ; Online
    DOI 10.1016/b978-0-12-818438-7.00002-2
    Database COVID19

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  9. Article: Effect of the 2018 NCAA Kickoff Rule Change on Concussion Rates in Collegiate Football: Results From a Division 1 Conference.

    Whelan, Bridget M / Harmon, Kimberly G / Aukerman, Douglas F / Konstantinides, Niki A / Poddar, Sourav K / Bohr, Adam D

    Orthopaedic journal of sports medicine

    2023  Volume 11, Issue 8, Page(s) 23259671231187893

    Abstract: Background: Kickoff plays in American football are associated with an increased risk of concussion compared with other play types. In 2018, the National Collegiate Athletic Association (NCAA) Football Rules Committee altered the kickoff rules so a fair ... ...

    Abstract Background: Kickoff plays in American football are associated with an increased risk of concussion compared with other play types. In 2018, the National Collegiate Athletic Association (NCAA) Football Rules Committee altered the kickoff rules so a fair catch inside the 25-yard line results in a touchback, with the ensuing drive starting on the 25-yard line. The intention was to decrease the number of kickoff returns with a corresponding decrease in the rate of concussions on kickoff plays.
    Purpose: To determine whether the 2018 rule changes had the intended effects in an NCAA Division 1 Conference.
    Study design: Cohort study; Level of evidence, 3.
    Methods: The study population included football athletes in the NCAA Pacific-12 (Pac-12) Conference. Data on the total number of plays, punts, kickoffs, touchbacks, and fair catches were obtained for all in-conference games from the 2016 to 2021 seasons. The number of game concussions and the play type were provided by each conference institution. Incidence of concussions occurring during kickoff plays before (2016-2017) and after (2018-2021) the rule change were compared with a difference-in-difference analysis using Poisson general linear models.
    Results: There were 242 concussions in 108,774 total plays in the study period, with an overall concussion rate of 2.2 per 1000 plays. The percentage of touchbacks increased significantly from 45% to 51% (
    Conclusion: Touchbacks and fair catches increased after the kickoff rule change, but there was not a corresponding decrease in concussions during kickoff plays as anticipated. Concussions occurring during other football plays remained stable.
    Language English
    Publishing date 2023-08-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2706251-X
    ISSN 2325-9671
    ISSN 2325-9671
    DOI 10.1177/23259671231187893
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Special issue on "Formulation strategies and manufacturing technologies to enhance non-invasive drug delivery".

    Löbmann, Korbinian / Bohr, Adam / Yang, Mingshi

    Asian journal of pharmaceutical sciences

    2018  Volume 13, Issue 6, Page(s) 505–506

    Language English
    Publishing date 2018-11-22
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 2650931-3
    ISSN 2221-285X ; 1818-0876 ; 2221-285X
    ISSN (online) 2221-285X
    ISSN 1818-0876 ; 2221-285X
    DOI 10.1016/j.ajps.2018.10.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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