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  1. Article ; Online: Implication of the gut-brain-skin axis affecting the skin, and specifically C. acnes.

    Marellapudi, Amulya / Burkhart, Craig G

    International journal of dermatology

    2022  Volume 62, Issue 5, Page(s) e295–e296

    MeSH term(s) Humans ; Skin ; Acne Vulgaris ; Brain ; Propionibacterium acnes
    Language English
    Publishing date 2022-03-02
    Publishing country England
    Document type Letter
    ZDB-ID 412254-9
    ISSN 1365-4632 ; 0011-9059 ; 1461-1244
    ISSN (online) 1365-4632
    ISSN 0011-9059 ; 1461-1244
    DOI 10.1111/ijd.16147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Neuroevolutionary Feature Representations for Causal Inference

    Burkhart, Michael C. / Ruiz, Gabriel

    2022  

    Abstract: Within the field of causal inference, we consider the problem of estimating heterogeneous treatment effects from data. We propose and validate a novel approach for learning feature representations to aid the estimation of the conditional average ... ...

    Abstract Within the field of causal inference, we consider the problem of estimating heterogeneous treatment effects from data. We propose and validate a novel approach for learning feature representations to aid the estimation of the conditional average treatment effect or CATE. Our method focuses on an intermediate layer in a neural network trained to predict the outcome from the features. In contrast to previous approaches that encourage the distribution of representations to be treatment-invariant, we leverage a genetic algorithm that optimizes over representations useful for predicting the outcome to select those less useful for predicting the treatment. This allows us to retain information within the features useful for predicting outcome even if that information may be related to treatment assignment. We validate our method on synthetic examples and illustrate its use on a real life dataset.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; 62D20 ; 68T30 ; 68W50 (Primary) 68T20 ; 68T07 (Secondary)
    Subject code 006
    Publishing date 2022-05-21
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Deep Low-Density Separation for Semi-Supervised Classification

    Burkhart, Michael C. / Shan, Kyle

    2022  

    Abstract: ... structural assumptions on the data, e.g. that neighbors are more likely to share a classification or ...

    Abstract Given a small set of labeled data and a large set of unlabeled data, semi-supervised learning (SSL) attempts to leverage the location of the unlabeled datapoints in order to create a better classifier than could be obtained from supervised methods applied to the labeled training set alone. Effective SSL imposes structural assumptions on the data, e.g. that neighbors are more likely to share a classification or that the decision boundary lies in an area of low density. For complex and high-dimensional data, neural networks can learn feature embeddings to which traditional SSL methods can then be applied in what we call hybrid methods. Previously-developed hybrid methods iterate between refining a latent representation and performing graph-based SSL on this representation. In this paper, we introduce a novel hybrid method that instead applies low-density separation to the embedded features. We describe it in detail and discuss why low-density separation may be better suited for SSL on neural network-based embeddings than graph-based algorithms. We validate our method using in-house customer survey data and compare it to other state-of-the-art learning methods. Our approach effectively classifies thousands of unlabeled users from a relatively small number of hand-classified examples.
    Keywords Computer Science - Machine Learning ; 68T10 ; 62H30 (Primary) 68T20 ; 68T30 (Secondary)
    Subject code 006
    Publishing date 2022-05-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Prospective evaluation of 24-hour movement behaviors among adolescents recovering from a sport-related concussion.

    Brayton, Riley P / Price, August M / Jones, Carrie / Ellis, Christine / Burkhart, Scott / Knell, Gregory

    Applied neuropsychology. Child

    2023  , Page(s) 1–9

    Abstract: This study aimed to describe the 24-hour composition of movement behaviors, including sleep, sedentary behavior, and physical activity (PA), among pediatric sports-related concussion (SRC) patients over their recovery period, assess the association ... ...

    Abstract This study aimed to describe the 24-hour composition of movement behaviors, including sleep, sedentary behavior, and physical activity (PA), among pediatric sports-related concussion (SRC) patients over their recovery period, assess the association between movement compositions and recovery time, and understand feasibility of 24-hour accelerometry in the study population. A cohort of 50 pediatric SRC patients were asked to wear a wrist-worn accelerometer continuously for the duration of their recovery. Among all enrolled participants, the sample was primarily 14 or 15 years of age (65%), female (55%), and recovered in under 28 days (88%). Accelerometer compliance was moderate; 35 participants (70%) were compliant with the protocol. Compositional analysis was used to address time-use objectives in 33 participants who provided adequate data for inclusion. Overall, participants spent an average of 50% of their 24-hour day sedentary, 33% sleeping, 11% in light intensity PA, and 6% in moderate or vigorous intensity PA. The 24-hour composition of movement behaviors was not associated with recovery time (
    Language English
    Publishing date 2023-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2673759-0
    ISSN 2162-2973 ; 2162-2965
    ISSN (online) 2162-2973
    ISSN 2162-2965
    DOI 10.1080/21622965.2023.2181082
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding

    Burkhart, Michael C.

    2018  

    Abstract: Given a stationary state-space model that relates a sequence of hidden states and corresponding measurements or observations, Bayesian filtering provides a principled statistical framework for inferring the posterior distribution of the current state ... ...

    Abstract Given a stationary state-space model that relates a sequence of hidden states and corresponding measurements or observations, Bayesian filtering provides a principled statistical framework for inferring the posterior distribution of the current state given all measurements up to the present time. For example, the Apollo lunar module implemented a Kalman filter to infer its location from a sequence of earth-based radar measurements and land safely on the moon. To perform Bayesian filtering, we require a measurement model that describes the conditional distribution of each observation given state. The Kalman filter takes this measurement model to be linear, Gaussian. Here we show how a nonlinear, Gaussian approximation to the distribution of state given observation can be used in conjunction with Bayes' rule to build a nonlinear, non-Gaussian measurement model. The resulting approach, called the Discriminative Kalman Filter (DKF), retains fast closed-form updates for the posterior. We argue there are many cases where the distribution of state given measurement is better-approximated as Gaussian, especially when the dimensionality of measurements far exceeds that of states and the Bernstein-von Mises theorem applies. Online neural decoding for brain-computer interfaces provides a motivating example, where filtering incorporates increasingly detailed measurements of neural activity to provide users control over external devices. Within the BrainGate2 clinical trial, the DKF successfully enabled three volunteers with quadriplegia to control an on-screen cursor in real-time using mental imagery alone. Participant "T9" used the DKF to type out messages on a tablet PC.

    Comment: Ph.D. dissertation, Brown University, Division of Applied Mathematics
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Computer Science - Neural and Evolutionary Computing ; 60G35 ; 93E10 ; 62M20 ; 93E11 ; 62G99 ; G.3.6 ; G.3.7 ; I.2.6
    Publishing date 2018-07-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Pain and Pruritus: a study of their similarities and differences.

    Anzelc, Madison / Burkhart, Craig G

    International journal of dermatology

    2019  Volume 59, Issue 2, Page(s) 159–164

    Abstract: ... pruritus were thought to have been conveyed by the same C fiber, and the proportion contributing ...

    Abstract Pruritus is one of the most common dermatologic complaints and, as the most common dermatologic symptom, is a major contributor to frequent dermatology visits. Chronic pruritus mirrors another major medical condition faced by millions of Americans each year - chronic pain. In older literature, pain and pruritus were thought to have been conveyed by the same C fiber, and the proportion contributing to pruritus was just a small subset of this general fiber. Overall, pain and pruritus share many integral similarities. Although these sensations both initiate the body's awareness to injury, pain and itch may have evolved for sensing different damages such as a burrowing parasite or a noxious stimulus, respectively. This seems to have been validated through analyses of their pathophysiology, acute and chronic conditions, and treatment modalities. However, their symptoms and intrinsic mechanisms vary considerably. It is important to view pruritus in more of an overall, whole body experience, rather than just the sensory aspect. Future studies should investigate the psychological treatment of chronic pruritus, considering the immense similarities with its chronic pain counterpart.
    MeSH term(s) Acute Disease ; Chronic Disease ; Humans ; Nerve Fibers, Unmyelinated ; Nociceptive Pain/physiopathology ; Pain/etiology ; Pain/physiopathology ; Pain/psychology ; Pruritus/etiology ; Pruritus/physiopathology ; Pruritus/psychology
    Language English
    Publishing date 2019-10-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 412254-9
    ISSN 1365-4632 ; 0011-9059 ; 1461-1244
    ISSN (online) 1365-4632
    ISSN 0011-9059 ; 1461-1244
    DOI 10.1111/ijd.14678
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Deep Low-Density Separation for Semi-supervised Classification

    Burkhart, Michael C. / Shan, Kyle

    Computational Science - ICCS 2020

    Abstract: ... structural assumptions on the data, e.g. that neighbors are more likely to share a classification or ...

    Abstract Given a small set of labeled data and a large set of unlabeled data, semi-supervised learning (ssl) attempts to leverage the location of the unlabeled datapoints in order to create a better classifier than could be obtained from supervised methods applied to the labeled training set alone. Effective ssl imposes structural assumptions on the data, e.g. that neighbors are more likely to share a classification or that the decision boundary lies in an area of low density. For complex and high-dimensional data, neural networks can learn feature embeddings to which traditional ssl methods can then be applied in what we call hybrid methods. Previously-developed hybrid methods iterate between refining a latent representation and performing graph-based ssl on this representation. In this paper, we introduce a novel hybrid method that instead applies low-density separation to the embedded features. We describe it in detail and discuss why low-density separation may better suited for ssl on neural network-based embeddings than graph-based algorithms. We validate our method using in-house customer survey data and compare it to other state-of-the-art learning methods. Our approach effectively classifies thousands of unlabeled users from a relatively small number of hand-classified examples.
    Keywords covid19
    Publisher PMC
    Document type Article ; Online
    DOI 10.1007/978-3-030-50420-5_22
    Database COVID19

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  8. Article ; Online: Intranasal Naloxone Repeat Dosing Strategies and Fentanyl Overdose: A Simulation-Based Randomized Clinical Trial.

    Strauss, David G / Li, Zhihua / Chaturbedi, Anik / Chakravartula, Shilpa / Samieegohar, Mohammadreza / Mann, John / Nallani, Srikanth C / Prentice, Kristin / Shah, Aanchal / Burkhart, Keith / Boston, Jennifer / Fu, Yu-Hui Ann / Dahan, Albert / Zineh, Issam / Florian, Jeffry A

    JAMA network open

    2024  Volume 7, Issue 1, Page(s) e2351839

    Abstract: Importance: Questions have emerged as to whether standard intranasal naloxone dosing recommendations (ie, 1 dose with readministration every 2-3 minutes if needed) are adequate in the era of illicitly manufactured fentanyl and its derivatives ( ... ...

    Abstract Importance: Questions have emerged as to whether standard intranasal naloxone dosing recommendations (ie, 1 dose with readministration every 2-3 minutes if needed) are adequate in the era of illicitly manufactured fentanyl and its derivatives (hereinafter, fentanyl).
    Objective: To compare naloxone plasma concentrations between different intranasal naloxone repeat dosing strategies and to estimate their effect on fentanyl overdose.
    Design, setting, and participants: This unblinded crossover randomized clinical trial was conducted with healthy participants in a clinical pharmacology unit (Spaulding Clinical Research, West Bend, Wisconsin) in March 2021. Inclusion criteria included age 18 to 55 years, nonsmoking status, and negative test results for the presence of alcohol or drugs of abuse. Data analysis was performed from October 2021 to May 2023.
    Intervention: Naloxone administered as 1 dose (4 mg/0.1 mL) at 0, 2.5, 5, and 7.5 minutes (test), 2 doses at 0 and 2.5 minutes (test), and 1 dose at 0 and 2.5 minutes (reference).
    Main outcomes and measures: The primary outcome was the first prespecified time with higher naloxone plasma concentration. The secondary outcome was estimated brain hypoxia time following simulated fentanyl overdoses using a physiologic pharmacokinetic-pharmacodynamic model. Naloxone concentrations were compared using paired tests at 3 prespecified times across the 3 groups, and simulation results were summarized using descriptive statistics.
    Results: This study included 21 participants, and 18 (86%) completed the trial. The median participant age was 34 years (IQR, 27-50 years), and slightly more than half of participants were men (11 [52%]). Compared with 1 naloxone dose at 0 and 2.5 minutes, 1 dose at 0, 2.5, 5, and 7.5 minutes significantly increased naloxone plasma concentration at 10 minutes (7.95 vs 4.42 ng/mL; geometric mean ratio, 1.95 [1-sided 97.8% CI, 1.28-∞]), whereas 2 doses at 0 and 2.5 minutes significantly increased the plasma concentration at 4.5 minutes (2.24 vs 1.23 ng/mL; geometric mean ratio, 1.98 [1-sided 97.8% CI, 1.03-∞]). No drug-related serious adverse events were reported. The median brain hypoxia time after a simulated fentanyl 2.97-mg intravenous bolus was 4.5 minutes (IQR, 2.1-∞ minutes) with 1 naloxone dose at 0 and 2.5 minutes, 4.5 minutes (IQR, 2.1-∞ minutes) with 1 naloxone dose at 0, 2.5, 5, and 7.5 minutes, and 3.7 minutes (IQR, 1.5-∞ minutes) with 2 naloxone doses at 0 and 2.5 minutes.
    Conclusions and relevance: In this clinical trial with healthy participants, compared with 1 intranasal naloxone dose administered at 0 and 2.5 minutes, 1 dose at 0, 2.5, 5, and 7.5 minutes significantly increased naloxone plasma concentration at 10 minutes, whereas 2 doses at 0 and 2.5 minutes significantly increased naloxone plasma concentration at 4.5 minutes. Additional research is needed to determine optimal naloxone dosing in the community setting.
    Trial registration: ClinicalTrials.gov Identifier: NCT04764630.
    MeSH term(s) Male ; Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Female ; Ethanol ; Commerce ; Fentanyl ; Naloxone/therapeutic use ; Opiate Overdose ; Hypoxia, Brain
    Chemical Substances Ethanol (3K9958V90M) ; Fentanyl (UF599785JZ) ; Naloxone (36B82AMQ7N)
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Randomized Controlled Trial ; Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.51839
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Qualitative, not quantitative, alterations of sebum important in seborrhoeic dermatitis.

    Burkhart, C G / Burkhart, C N

    Journal of the European Academy of Dermatology and Venereology : JEADV

    2009  Volume 23, Issue 4, Page(s) 441; author reply 441

    MeSH term(s) Dermatitis, Seborrheic/drug therapy ; Dermatitis, Seborrheic/pathology ; Dermatologic Agents/therapeutic use ; Humans ; Pilot Projects ; Sebum
    Chemical Substances Dermatologic Agents
    Language English
    Publishing date 2009-04
    Publishing country England
    Document type Comment ; Letter
    ZDB-ID 1128828-0
    ISSN 1468-3083 ; 0926-9959
    ISSN (online) 1468-3083
    ISSN 0926-9959
    DOI 10.1111/j.1468-3083.2009.03142.x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A tractable covalent linker strategy for the production of immunogenic antigen-TLR7/8L bioconjugates.

    Massena, C J / Lathrop, S K / Davison, C J / Schoener, R / Bazin, H G / Evans, J T / Burkhart, D J

    Chemical communications (Cambridge, England)

    2021  Volume 57, Issue 38, Page(s) 4698–4701

    Abstract: Despite the ease of production and improved safety profiles of recombinant vaccines, the inherently low immunogenicity of unadjuvanted proteins remains an impediment to their widespread adoption. The covalent tethering of TLR agonists to antigenic ... ...

    Abstract Despite the ease of production and improved safety profiles of recombinant vaccines, the inherently low immunogenicity of unadjuvanted proteins remains an impediment to their widespread adoption. The covalent tethering of TLR agonists to antigenic proteins offers a unique approach to co-deliver both constituents to the same cell-enhancing vaccine efficacy while minimizing reactogenicity. However, the paucity of simple and effective linker chemistries continues to hamper progress. Here, we present a modular, PEG-based linker system compatible with even extremely lipophilic and challenging TLR7/8 agonists. To advance the field and address previous obstacles, we offer the most straightforward and antigen-preserving linker system to date. These antigen-adjuvant conjugates enhance antigen-specific immune responses in mice, demonstrating the power of our approach within the context of modern vaccinology.
    MeSH term(s) Adjuvants, Immunologic ; Animals ; Antigens/immunology ; Membrane Glycoproteins/immunology ; Mice ; Toll-Like Receptor 7/immunology ; Toll-Like Receptor 8/immunology
    Chemical Substances Adjuvants, Immunologic ; Antigens ; Membrane Glycoproteins ; TLR8 protein, mouse ; Tlr7 protein, mouse ; Toll-Like Receptor 7 ; Toll-Like Receptor 8
    Language English
    Publishing date 2021-05-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d1cc00795e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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