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537 results for “Pharmaceutical”
Code for Random Forest models that predict pharmaceutical and water chemistry measurements in Baltimore Ecosystem Study streams
This file contains code to model the relationship between the water chemistry measurements and discharge measured as part of BES routine sampling and the pharmaceuticals measured in WY 2018. We use Random Forest models to predict 1) total (i.e., summed) concentration of the pharmaceuticals for which we screened, 2) total nutrient concentrations (TN & TP), 3) whether or not the antibiotic trimethoprim was detected in a given sample, and 4) whether or not nitrate and TP were above or below environmentally-relevant threshold concentrations. We also use RF models to predict N and P concentrations over a longer period, in order to compare models for nutrients to pharma. Code and analyses here rely on data processed in the file "BESPharma_WY2018.Rmd", published on EDI (doi:10.6073/pasta/610cb67fcbc8982c2af8ed946dce8ea5) and BES water chemistry data published on EDI (doi:10.6073/pasta/ce7f30e6013e003bfe28c5fd7d4aed23 )
S55 | ZINC15PHARMA | >8600 Pharmaceuticals from ZINC15
<p>This is the dataset associated with list S55 ZINCPHARMA on the NORMAN Suspect List Exchange:</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S55 | ZINC15PHARMA | >8600 Pharmaceuticals from ZINC15</p> <p>A list of >8600 pharmaceuticals retrieved from <a href="http://zinc15.docking.org/substances/subsets/world-not-fda/">ZINC15</a>, curated and provided by Reza Aalizadeh, University of Athens. </p> <p>Update 6/11/20: removed incorrect CAS numbers for carbonate based on feedback from PubChem.</p>
S92 | FLUOROPHARMA | List of ~340 ATC classified fluoro-pharmaceuticals
<p>This is the collection associated with list S92 FLUOROPHARMA, List of ~340 ATC classified fluoro-pharmaceuticals on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p> </p> <p>A list of ~340 fluoro-pharmaceuticals classified as per WHO'S Anatomical Therapeutic Chemical (ATC) classification based on their medical application, described in Inoue et. al. DOI: <a href="https://pubs.acs.org/doi/10.1021/acsomega.0c00830">10.1021/acsomega.0c00830</a> </p> <p>Structural identifiers and mapping to DTXSID, CASRN provided by ECI. v0.1.1: removed three non-F containing entries (CIDs 1061, 5360545, 56603655) and added information for CID 3039780. </p>
S10 | SWISSPHARMA | Pharmaceutical List with Consumption Data
<p>This is the collection associated with list S10 SWISSPHARMA on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S10 | SWISSPHARMA | <strong>Pharmaceutical List with Consumption Data</strong></p> <p>Table S2 from Singer <em>et al.</em> 2016. DOI: <a href="http://pubs.acs.org/doi/abs/10.1021/acs.est.5b03332">10.1021/acs.est.5b03332</a></p> <p>2024: added consumption data and mappings file for PubChem. </p>
S57 | GREEKPHARMA | Suspect Pharmaceuticals from the National Organization of Medicine, Greece
<p>This is the dataset associated with list S57 GREEKPHARMA on the NORMAN Suspect List Exchange:</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p>
Extensive Checklist to cGMP Inspections in Pharmaceutical Manufacturing Plants
<p><span>cGMP inspections are an essential part of ensuring that pharmaceutical companies produce high-quality, safe, and effective drugs. These inspections help maintain the integrity of the pharmaceutical supply chain and protect public health. Pharmaceutical companies must prioritize continuous cGMP compliance, prepare thoroughly for inspections, and respond promptly to any observations made by inspectors to remain in good standing with regulatory authorities.</span></p> <p><span>Here's a comprehensive cGMP inspection checklist for a pharmaceutical company, incorporating requirements from USFDA, EMA, WHO, UKMHRA, TGA, and ANVISA. This checklist includes a rating system to evaluate compliance with each requirement.</span></p>
Data and code for the analysis in "Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland"
<p>Data and code used for the analysis in <em>Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland</em> (Lemaitre et al., Swiss Medial Weekly 2020).</p>
Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Rare Diseases
<p>These supplementary materials represent the partial dataset in the form of semi-structured interviews, collected and analyzed in the research article "Alternative innovation models of pharmaceutical development for rare disease drugs: how (and) do they work?: A qualitative study". This article is one of the outcomes of the "New Business Models for Pharmaceutical Innovation and Global Access to Medicines" research project, conducted at the Global Health Center, within the Geneva Graduate Institute. The dataset contains 10/11 interviews collected and used in this article, which are published with the informed consent of the interviewees.</p> <p>Details about the research project can be found at: <a href="https://www.graduateinstitute.ch/NBM">https://www.graduateinstitute.ch/NBM</a></p>
Interviews for New Business Models for Pharmaceutical Innovation and Access to Medicines - Case Study of the Oral Cholera Vaccine Development
<p>These supplementary materials represent the partial dataset in the form of semi-structured interviews, collected and analyzed in the research article "The 30-year evolution of oral cholera vaccines: A case study of a collaborative network alternative innovation model". This article is one of the outcomes of the "New Business Models for Pharmaceutical Innovation and Global Access to Medicines" research project, conducted at the Global Health Center, within the Geneva Graduate Institute. The dataset contains 8/16 interviews collected and used in this article, which are published with the informed consent of the interviewees.</p>
Transcriptomic signatures induced by the herbicide bentazone and pharmaceutical atorvastatin in Myriophyllum spicatum
<p>Within this study, the non-model organism Myriophyllum spicatum was used to evaluate ecotoxic modes of action at the gene expression level. M. spicatum was exposed to low-effect concentrations of bentazone and atorvastatin in a shortened and modified version of the OECD guideline test No. 239, followed by RNA extraction of the shoot tip tissue and a subsequent RNA-seq analysis utilizing a de novo assembly of the transcriptome. While the herbicide bentazone is an inhibitor of photosynthesis, the widely spread pharmaceutical atorvastatin acts as an inhibitor of the hydroxymethylglutaryl-CoA reductase and thus the isoprenoid biosynthesis. The aim of this study was to determine molecular fingerprints and biomarkers distinguishing these distinct modes of action at a molecular level.</p>
Compound Data for Robust Processes for Polymer Modification and Pharmaceutical Synthesis
<p>Compound structural (IUPAC name, InChI, InChI Key, SMILES, .mol, .sdf) and spectral (NMR, MS) data included for compounds reported in the associated doctoral thesis. NMR data collected on Bruker Avance 400, 500, or 600 MHz spectrometers. Compound structure data were generated by ChemDraw v.20 (PerkinElmer). More details about the preparation and characterization of these compounds can be found in the associated thesis.</p>
Pharmaceutical advertising and the consumption of over the counter (OTC) medicines in users of the Superfar drugstore in Barrios Altos - Cercado de Lima, 2022.
<p>To determine the relationship between pharmaceutical advertising and the consumption of over-the-counter (OTC) medicines in users of the SUPERFAR drugstore in barrios altos -cercado de lima, 2022.</p>
Job-Related Health Issues That Affect Employees Working in Pharmaceutical Marketing
<p><strong><span>Abstract</span></strong></p> <p><span>Marketing representatives play a critical role in a pharmaceutical organization in the development and sustainability of their business through helping in selling of products and services. It is not an easy job. The Medical Marketing representative is a high-risk job with immense stress and negative consequences for individuals. It requires more skills, wider knowledge and emotional stability than the other profession. Due to extensive traveling, wandering and waiting time, target issues, work-life balancing problems and lack of job security the medical representative feels exhausted.</span></p> <p><span>In India, the pharmaceutical industry is growing tremendously for the past few years. This industry is highly competitive in nature. It increases the need for the marketing representatives and also their roles and responsibilities simultaneously. The cut-throat competitive scenario in the market increases the pressure of achieving targets to pharmaceutical sales which ultimately induced their job stress and other health issues. So, the pharmacy institution must provide more attention to prevent and reduce the burnout of the marketing representatives, otherwise the institution will lose its reputation.</span></p> <p><strong><span>Keywords: </span></strong><span>occupational risks; pharmaceutical marketing force; road traffic accidents; violence; workplace stress; Burnout; Frustrating; Medical Representatives; Stress and Work-Life Balancing Problems; stress management Violence; Well-being.</span></p>
Dataset: ACADIA Pharmaceuticals Inc. (ACAD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Acumen Pharmaceuticals, Inc. (ABOS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Galmed Pharmaceuticals Ltd. (GLMD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: First Trust Nasdaq Pharmaceuticals ETF (FTXH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Fennec Pharmaceuticals Inc. (FENC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: EyePoint Pharmaceuticals, Inc. (EYPT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Eton Pharmaceuticals, Inc. (ETON) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.