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  1. AU=Ruiz Michael Anthony
  2. AU="Kemmoku, Haruka"
  3. AU="Meseguer, M"
  4. AU="Pillaye, Jayshree"
  5. AU="Andrew Pettitt"
  6. AU="Malawski, M"
  7. AU=Marhofer P
  8. AU=Mandel H G
  9. AU="Duffy, Richard"
  10. AU=Kaseb Hatem AU=Kaseb Hatem
  11. AU=Kong Tak?kwan AU=Kong Tak?kwan
  12. AU=Nagaraja Sridevi
  13. AU="Bu, Yingzi"
  14. AU=Seddighi Hamed AU=Seddighi Hamed
  15. AU="De Keyser, Johan"
  16. AU="Zhenqiang Bi"
  17. AU=Wang Jun
  18. AU=Zhang Fuping
  19. AU="Shatilov, D N"

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  1. Artikel: Intraventricular dimethyl sulfoxide (DMSO) induces hydrocephalus in a dose-dependent pattern.

    Castaneyra-Ruiz, Leandro / Ledbetter, Jenna / Lee, Seunghyun / Rangel, Anthony / Torres, Evelyn / Romero, Bianca / Muhonen, Michael

    Heliyon

    2024  Band 10, Heft 5, Seite(n) e27295

    Abstract: Introduction: Dimethyl sulfoxide (DMSO), a widely utilized solvent in the medical industry, has been associated with various adverse effects, even at low concentrations, including damage to mitochondrial integrity, altered membrane potentials, caspase ... ...

    Abstract Introduction: Dimethyl sulfoxide (DMSO), a widely utilized solvent in the medical industry, has been associated with various adverse effects, even at low concentrations, including damage to mitochondrial integrity, altered membrane potentials, caspase activation, and apoptosis. Notably, therapeutic molecules for central nervous system treatments, such as embolic agents or some chemotherapy drugs that are dissolved in DMSO, have been associated with hydrocephalus as a secondary complication. Our study investigated the potential adverse effects of DMSO on the brain, specifically focusing on the development of hydrocephalus and the effect on astrocytes.
    Methods: Varied concentrations of DMSO were intraventricularly injected into 3-day-old mice, and astrocyte cultures were exposed to similar concentrations of DMSO. After 14 days of injection, magnetic resonance imaging (MRI) was employed to quantify the brain ventricular volumes in mice. Immunofluorescence analysis was conducted to delineate DMSO-dependent effects in the brain. Additionally, astrocyte cultures were utilized to assess astrocyte viability and the effects of cellular apoptosis.
    Results: Our findings revealed a dose-dependent induction of ventriculomegaly in mice with 2%, 10%, and 100% DMSO injections (p < 0.001). The ciliated cells of the ventricles were also proportionally affected by DMSO concentration (p < 0.0001). Furthermore, cultured astrocytes exhibited increased apoptosis after DMSO exposure (p < 0.001).
    Conclusion: Our study establishes that intraventricular administration of DMSO induces hydrocephalus in a dose-dependent manner. This observation sheds light on a potential explanation for the occurrence of hydrocephalus as a secondary complication in intracranial treatments utilizing DMSO as a solvent.
    Sprache Englisch
    Erscheinungsdatum 2024-03-04
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27295
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Predicting high-risk periods for weight regain following initial weight loss.

    Ross, Kathryn M / You, Lu / Qiu, Peihua / Shankar, Meena N / Swanson, Taylor N / Ruiz, Jaime / Anthony, Lisa / Perri, Michael G

    Obesity (Silver Spring, Md.)

    2023  Band 32, Heft 1, Seite(n) 41–49

    Abstract: Objective: The aim of this study was to develop a predictive algorithm of "high-risk" periods for weight regain after weight loss.: Methods: Longitudinal mixed-effects models and random forest regression were used to select predictors and develop an ... ...

    Abstract Objective: The aim of this study was to develop a predictive algorithm of "high-risk" periods for weight regain after weight loss.
    Methods: Longitudinal mixed-effects models and random forest regression were used to select predictors and develop an algorithm to predict weight regain on a week-to-week basis, using weekly questionnaire and self-monitoring data (including daily e-scale data) collected over 40 weeks from 46 adults who lost ≥5% of baseline weight during an initial 12-week intervention (Study 1). The algorithm was evaluated in 22 adults who completed the same Study 1 intervention but lost <5% of baseline weight and in 30 adults recruited for a separate 30-week study (Study 2).
    Results: The final algorithm retained the frequency of self-monitoring caloric intake and weight plus self-report ratings of hunger and the importance of weight-management goals compared with competing life demands. In the initial training data set, the algorithm predicted weight regain the following week with a sensitivity of 75.6% and a specificity of 45.8%; performance was similar (sensitivity: 81%-82%, specificity: 30%-33%) in testing data sets.
    Conclusions: Weight regain can be predicted on a proximal, week-to-week level. Future work should investigate the clinical utility of adaptive interventions for weight-loss maintenance and develop more sophisticated predictive models of weight regain.
    Mesh-Begriff(e) Adult ; Humans ; Obesity/therapy ; Weight Loss ; Body Weight ; Energy Intake ; Weight Gain
    Sprache Englisch
    Erscheinungsdatum 2023-11-02
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2230457-5
    ISSN 1930-739X ; 1071-7323 ; 1930-7381
    ISSN (online) 1930-739X
    ISSN 1071-7323 ; 1930-7381
    DOI 10.1002/oby.23923
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Buch ; Online: Benchmarking Multivariate Time Series Classification Algorithms

    Ruiz, Alejandro Pasos / Flynn, Michael / Bagnall, Anthony

    2020  

    Abstract: Time Series Classification (TSC) involved building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the ...

    Abstract Time Series Classification (TSC) involved building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the previous state of the art. The main focus has been on univariate TSC, i.e. the problem where each case has a single series and a class label. In reality, it is more common to encounter multivariate TSC (MTSC) problems where multiple series are associated with a single label. Despite this, much less consideration has been given to MTSC than the univariate case. The UEA archive of 30 MTSC problems released in 2018 has made comparison of algorithms easier. We review recently proposed bespoke MTSC algorithms based on deep learning, shapelets and bag of words approaches. The simplest approach to MTSC is to ensemble univariate classifiers over the multivariate dimensions. We compare the bespoke algorithms to these dimension independent approaches on the 26 of the 30 MTSC archive problems where the data are all of equal length. We demonstrate that the independent ensemble of HIVE-COTE classifiers is the most accurate, but that, unlike with univariate classification, dynamic time warping is still competitive at MTSC.

    Comment: Data Min Knowl Disc (2020)
    Schlagwörter Computer Science - Machine Learning ; Statistics - Machine Learning
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2020-07-26
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Impact of transition from face-to-face to telehealth on behavioral obesity treatment during the COVID-19 pandemic.

    Ross, Kathryn M / Carpenter, Chelsea A / Arroyo, Kelsey M / Shankar, Meena N / Yi, Fan / Qiu, Peihua / Anthony, Lisa / Ruiz, Jaime / Perri, Michael G

    Obesity (Silver Spring, Md.)

    2022  Band 30, Heft 4, Seite(n) 858–863

    Abstract: Objective: This study evaluated whether the transition of a face-to-face behavioral intervention to videoconferencing-based telehealth delivery during the COVID-19 pandemic resulted in significantly smaller weight losses than those typically observed in ...

    Abstract Objective: This study evaluated whether the transition of a face-to-face behavioral intervention to videoconferencing-based telehealth delivery during the COVID-19 pandemic resulted in significantly smaller weight losses than those typically observed in gold-standard, face-to-face programs.
    Methods: Participants were 160 adults with obesity (mean [SD] age = 49.2 [11.9] years, BMI = 36.1 [4.2] kg/m
    Results: From baseline to postintervention, participants lost an average of 7.4 [4.9] kg, representing a reduction of 7.2% [4.6%]. This magnitude of weight change was significantly greater than 5.5% (t[159] = 4.7, p < 0.001), and, thus, was within the proposed noninferiority margin.
    Conclusions: These findings demonstrate that the results of behavioral weight-management interventions are robust, whether delivered in person or remotely, and that individuals can achieve clinically meaningful benefits from behavioral treatment even during a global pandemic. Pragmatic "lessons learned," including modified trial recruitment techniques, are discussed.
    Mesh-Begriff(e) Adult ; COVID-19/therapy ; Humans ; Middle Aged ; Obesity/epidemiology ; Obesity/therapy ; Pandemics ; Telemedicine/methods ; Videoconferencing
    Sprache Englisch
    Erscheinungsdatum 2022-03-11
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2230457-5
    ISSN 1930-739X ; 1071-7323 ; 1930-7381
    ISSN (online) 1930-739X
    ISSN 1071-7323 ; 1930-7381
    DOI 10.1002/oby.23383
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

    Ruiz, Alejandro Pasos / Flynn, Michael / Large, James / Middlehurst, Matthew / Bagnall, Anthony

    Data mining and knowledge discovery

    2020  Band 35, Heft 2, Seite(n) 401–449

    Abstract: Time Series Classification (TSC) involves building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the ...

    Abstract Time Series Classification (TSC) involves building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the previous state of the art. The main focus has been on univariate TSC, i.e. the problem where each case has a single series and a class label. In reality, it is more common to encounter multivariate TSC (MTSC) problems where the time series for a single case has multiple dimensions. Despite this, much less consideration has been given to MTSC than the univariate case. The UCR archive has provided a valuable resource for univariate TSC, and the lack of a standard set of test problems may explain why there has been less focus on MTSC. The UEA archive of 30 MTSC problems released in 2018 has made comparison of algorithms easier. We review recently proposed bespoke MTSC algorithms based on deep learning, shapelets and bag of words approaches. If an algorithm cannot naturally handle multivariate data, the simplest approach to adapt a univariate classifier to MTSC is to ensemble it over the multivariate dimensions. We compare the bespoke algorithms to these dimension independent approaches on the 26 of the 30 MTSC archive problems where the data are all of equal length. We demonstrate that four classifiers are significantly more accurate than the benchmark dynamic time warping algorithm and that one of these recently proposed classifiers, ROCKET, achieves significant improvement on the archive datasets in at least an order of magnitude less time than the other three.
    Sprache Englisch
    Erscheinungsdatum 2020-12-18
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1479890-6
    ISSN 1573-756X ; 1384-5810
    ISSN (online) 1573-756X
    ISSN 1384-5810
    DOI 10.1007/s10618-020-00727-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Buch ; Online: Detection of High Energy Ionizing Radiation using Deeply Depleted Graphene-Oxide-Semiconductor Junctions

    Ruiz, Isaac / Vizkelethy, Gyorgy / McDonald, Anthony E. / Howell, Stephen W. / Thelen, Paul M. / Goldflam, Michael D. / Beechem, Thomas E.

    2022  

    Abstract: Graphene's linear bandstructure and two-dimensional density of states provide an implicit advantage for sensing charge. Here, these advantages are leveraged in a deeply depleted graphene-oxide-semiconductor (D2GOS) junction detector architecture to sense ...

    Abstract Graphene's linear bandstructure and two-dimensional density of states provide an implicit advantage for sensing charge. Here, these advantages are leveraged in a deeply depleted graphene-oxide-semiconductor (D2GOS) junction detector architecture to sense carriers created by ionizing radiation. Specifically, the room temperature response of the silicon-based D2GOS junction is analyzed during irradiation with 20 MeV Si4+ ions. Detection was demonstrated for doses ranging from 12-1200 ions with device functionality maintained with no substantive degradation. To understand the device response, D2GOS pixels were characterized post-irradiation via a combination of electrical characterization, Raman spectroscopy, and photocurrent mapping. This combined characterization methodology underscores the lack of discernible damage caused by irradiation to the graphene while highlighting the nature of interactions between the incident ions and the silicon absorber.

    Comment: 15 pages, 4 figures
    Schlagwörter Condensed Matter - Materials Science ; Condensed Matter - Mesoscale and Nanoscale Physics
    Thema/Rubrik (Code) 600
    Erscheinungsdatum 2022-08-03
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Endemic infectious cutaneous ulcers syndrome in the Oti Region of Ghana: Study of cutaneous leishmaniasis, yaws and Haemophilus ducreyi cutaneous ulcers.

    Akuffo, Richard Adjei / Sanchez, Carmen / Amanor, Ivy / Amedior, Jennifer Seyram / Kotey, Nana Konama / Anto, Francis / Azurago, Thomas / Ablordey, Anthony / Owusu-Antwi, Felicia / Beshah, Abate / Amoako, Yaw Ampem / Phillips, Richard Odame / Wilson, Michael / Asiedu, Kingsley / Ruiz-Postigo, Jose-Antonio / Moreno, Javier / Mokni, Mourad

    PloS one

    2023  Band 18, Heft 9, Seite(n) e0292034

    Abstract: Background: A recent study detected cutaneous leishmaniasis (CL) in 31.9% of persons with skin ulcers in the Oti Region of Ghana, resulting in a need to investigate other potential causes of the unexplained skin ulcers.: Methodology/principal findings! ...

    Abstract Background: A recent study detected cutaneous leishmaniasis (CL) in 31.9% of persons with skin ulcers in the Oti Region of Ghana, resulting in a need to investigate other potential causes of the unexplained skin ulcers.
    Methodology/principal findings: A community based cross-sectional study was conducted in the Oti region to investigate skin ulcers of undetermined aetiologies. To confirm a diagnosis of cutaneous leishmaniasis, Buruli ulcer, Haemophilus ducreyi ulcers, or yaws, DNA obtained from each patient skin ulcer sample was systematically subjected to polymerase chain reaction (PCR) for Leishmania spp., Mycobacterium ulcerans, Haemophilus ducreyi, and Treponema pallidum sub species pertenue. A total of 101 skin ulcer samples were obtained from 101 persons. Co-infection of more than one organism was observed in 68.3% of the samples. Forty (39.6%) participants had a positive result for Leishmania spp., 68 (67.3%) for Treponema pallidum sub. Sp. pertenue, and 74 (73.3%) for H. ducreyi. Twenty (19.8%) of the patient ulcers were simultaneously infected with Leishmania spp., Treponema pallidum sub. Sp. pertenue, and H. ducreyi. None of the patients' lesions yielded a positive result for Mycobacterium ulcerans.
    Conclusions/significance: This study detected single and mixed occurrence of the causative organisms of CL, yaws, and H. ducreyi cutaneous ulcers in CL endemic communities of the Oti Region in Ghana. These findings emphasize the importance of integrating multiple skin diseases on a common research platform and calls for the development of a comprehensive guideline for diagnosing and treating tropical ulcers in the study areas.
    Mesh-Begriff(e) Humans ; Ulcer/epidemiology ; Haemophilus ducreyi ; Yaws/epidemiology ; Ghana/epidemiology ; Cross-Sectional Studies ; Skin Ulcer/epidemiology ; Leishmaniasis, Cutaneous/diagnosis ; Leishmaniasis, Cutaneous/epidemiology ; Skin Diseases, Infectious ; Leishmania ; Mycobacterium ulcerans
    Sprache Englisch
    Erscheinungsdatum 2023-09-27
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0292034
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Structure and Functional Properties of Bacterial Communities in Surface Sediments of the Recently Declared Nutrient-Saturated Lake Villarrica in Southern Chile.

    Campos, Marco A / Zhang, Qian / Acuña, Jacquelinne J / Rilling, Joaquin I / Ruiz, Tay / Carrazana, Elizabeth / Reyno, Cristóbal / Hollenback, Anthony / Gray, Katelyn / Jaisi, Deb P / Ogram, Andrew / Bai, Junhong / Zhang, Ling / Xiao, Rong / Elias, Mikael / Sadowsky, Michael J / Hu, Jingming / Jorquera, Milko A

    Microbial ecology

    2023  Band 86, Heft 3, Seite(n) 1513–1533

    Abstract: Lake Villarrica, one of Chile's main freshwater water bodies, was recently declared a nutrient-saturated lake due to increased phosphorus (P) and nitrogen (N) levels. Although a decontamination plan based on environmental parameters is being established, ...

    Abstract Lake Villarrica, one of Chile's main freshwater water bodies, was recently declared a nutrient-saturated lake due to increased phosphorus (P) and nitrogen (N) levels. Although a decontamination plan based on environmental parameters is being established, it does not consider microbial parameters. Here, we conducted high-throughput DNA sequencing and quantitative polymerase chain reaction (qPCR) analyses to reveal the structure and functional properties of bacterial communities in surface sediments collected from sites with contrasting anthropogenic pressures in Lake Villarrica. Alpha diversity revealed an elevated bacterial richness and diversity in the more anthropogenized sediments. The phylum Proteobacteria, Bacteroidetes, Acidobacteria, and Actinobacteria dominated the community. The principal coordinate analysis (PCoA) and redundancy analysis (RDA) showed significant differences in bacterial communities of sampling sites. Predicted functional analysis showed that N cycling functions (e.g., nitrification and denitrification) were significant. The microbial co-occurrence networks analysis suggested Chitinophagaceae, Caldilineaceae, Planctomycetaceae, and Phycisphaerae families as keystone taxa. Bacterial functional genes related to P (phoC, phoD, and phoX) and N (nifH and nosZ) cycling were detected in all samples by qPCR. In addition, an RDA related to N and P cycling revealed that physicochemical properties and functional genes were positively correlated with several nitrite-oxidizing, ammonia-oxidizing, and N-fixing bacterial genera. Finally, denitrifying gene (nosZ) was the most significant factor influencing the topological characteristics of co-occurrence networks and bacterial interactions. Our results represent one of a few approaches to elucidate the structure and role of bacterial communities in Chilean lake sediments, which might be helpful in conservation and decontamination plans.
    Mesh-Begriff(e) Humans ; Lakes/microbiology ; Chile ; Bacteria/genetics ; Proteobacteria/genetics ; Genes, Bacterial ; Bacteroidetes/genetics ; Geologic Sediments/microbiology
    Sprache Englisch
    Erscheinungsdatum 2023-02-08
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1462065-0
    ISSN 1432-184X ; 0095-3628
    ISSN (online) 1432-184X
    ISSN 0095-3628
    DOI 10.1007/s00248-023-02173-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: MicroRNAs: the underlying mediators of pathogenetic processes in vascular complications of diabetes.

    Ruiz, Michael Anthony / Chakrabarti, Subrata

    Canadian journal of diabetes

    2013  Band 37, Heft 5, Seite(n) 339–344

    Abstract: Diabetes mellitus causes chronic complications primarily affecting the vasculature of various organs, risking patients for renal failure, vision loss and heart failure. A newly discovered class of molecules, microRNAs, may be important in the genesis of ... ...

    Abstract Diabetes mellitus causes chronic complications primarily affecting the vasculature of various organs, risking patients for renal failure, vision loss and heart failure. A newly discovered class of molecules, microRNAs, may be important in the genesis of these pathologic processes. microRNAs regulate gene expression at the post-transcriptional level by inhibiting target messenger RNA translation. In disease states, however, the expression of microRNAs often is altered, resulting in further altered expression (mostly overexpression) of downstream target genes. Interestingly, restoring microRNA expression to normal levels can correct downstream effects and prevent diabetes-associated changes. Investigations into microRNA involved in various pathogenetic processes mediating diabetic nephropathy, retinopathy and cardiomyopathy are highlighted in this review. Future directions of microRNA in therapeutics and diagnostics are also discussed. It is our intent to help the reader appreciate the diverse interactions microRNAs have in cellular signalling and how understanding epigenetic elements, such as microRNAs, potentially can yield new therapeutic strategies.
    Mesh-Begriff(e) Diabetes Mellitus, Type 1/genetics ; Diabetes Mellitus, Type 1/physiopathology ; Diabetes Mellitus, Type 2/genetics ; Diabetes Mellitus, Type 2/physiopathology ; Diabetic Nephropathies/genetics ; Diabetic Nephropathies/physiopathology ; Diabetic Nephropathies/prevention & control ; Diabetic Retinopathy/genetics ; Diabetic Retinopathy/physiopathology ; Diabetic Retinopathy/prevention & control ; Endothelial Cells/metabolism ; Female ; Fibrosis ; Genetic Therapy ; Humans ; Male ; MicroRNAs/metabolism ; RNA Interference ; Risk Factors ; Signal Transduction
    Chemische Substanzen MicroRNAs
    Sprache Englisch
    Erscheinungsdatum 2013-10
    Erscheinungsland Canada
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ISSN 2352-3840
    ISSN (online) 2352-3840
    DOI 10.1016/j.jcjd.2013.07.003
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: Report of the European Medicines Agency Conference on RNA-Based Medicines.

    Ehmann, Falk / Kuhn, Andreas / Pasmooij, Anna Maria Gerdina / Humphreys, Anthony / Van Hengel, Arjon / Dooley, Brian / Anliker, Brigitte / Svensson, Camilla / Capaldi, Daniel / Henshall, David / Cooke, Emer / Zhou, Haiyan / Bastaerts, Hilde / Smink, Jeske / Van Gerven, Joop / Enes, Leonor / Nechev, Lubomir / Hoefnagel, Marcel / Driessens, Mariëtte /
    Wenger, Michael / Blanquie, Oriane / Widomski, Pawel / Herold, Ralf / Thürmer, René / Ruiz, Sol / Thirstrup, Steffen / Goody, Susan / Zaks, Tal / Cordò, Valentina / Aartsma-Rus, Annemieke M

    Nucleic acid therapeutics

    2024  Band 34, Heft 1, Seite(n) 4–11

    Abstract: RNA-based medicines have potential to treat a large variety of diseases, and research in the field is very dynamic. Proactively, The European Medicines Agency (EMA) organized a virtual conference on February 2, 2023 to promote the development of RNA- ... ...

    Abstract RNA-based medicines have potential to treat a large variety of diseases, and research in the field is very dynamic. Proactively, The European Medicines Agency (EMA) organized a virtual conference on February 2, 2023 to promote the development of RNA-based medicines. The initiative addresses the goal of the EMA Regulatory Science Strategy to 2025 to "catalyse the integration of science and technology in medicines development." The conference focused on RNA technologies (excluding RNA vaccines) and involved different stakeholders, including representatives from academia, industry, regulatory authorities, and patient organizations. The conference comprised presentations and discussion sessions conducted by panels of subject matter experts. In this meeting report, we summarize the presentations and recap the main themes of the panel discussions.
    Mesh-Begriff(e) Humans ; Drug Industry ; Congresses as Topic ; RNA/therapeutic use
    Chemische Substanzen RNA (63231-63-0)
    Sprache Englisch
    Erscheinungsdatum 2024-01-04
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2639888-6
    ISSN 2159-3345 ; 2159-3337
    ISSN (online) 2159-3345
    ISSN 2159-3337
    DOI 10.1089/nat.2023.0021
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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