Essays about: "AstraZeneca"

Showing result 1 - 5 of 87 essays containing the word AstraZeneca.

  1. 1. Product development of hand-held scooping utensil for the pharmaceutical industry

    University essay from KTH/Ergonomi

    Author : Josefin Kruse; [2024]
    Keywords : ;

    Abstract : Musculoskeletal disorders (MSDs) are one of the most common groups of work-related illnesses. At PET Dispensing, AstraZeneca Södertälje, several MSDs had been linked to a specific scooping utensil made of stainless steel. READ MORE

  3. 2. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS

    University essay from Uppsala universitet/Analytisk kemi

    Author : Maryam Dost; [2024]
    Keywords : Mass spectroscopy imaging; AstraZeneca; Nanosims; Therapeutics; pharmacokinetics; pharmacodynamics; Quantitative Visualization; calibration curve; RSF; pharmacology; Data Analysis; Chemistry; Quantification; isotopes; Pharmaceuticals; subcellular; drug; drug target; nucleotide; biodistribution; Bioanalytical electrochemistry; spectroscopy; mass spectrometry; analytical separations; Analytical Chemistry; ROI; Bioanalytical Chemistry; Masspektroskopi avbildning; AstraZeneca; Nanosims; Terapeutik; farmakokinetik; farmakodynamik; Kvantitativ visualisering; kalibreringskurva; RSF; farmakologi; Dataanalys; Kemi; Kvantifiering; isotoper; Läkemedel; subcellulär; läkemedel; läkemedelsmål; bioskopisk elektrofördelning; nukleotid; bioskopisk bioskopisk distribution; masspektrometri; analytiska separationer; analytisk kemi; bioanalytisk kemi;

    Abstract : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. READ MORE

  4. 3. Machine learning for molecular property prediction and drug safety

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Kinga Jenei; [2023-10-23]
    Keywords : Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Abstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE

  5. 4. A study of productivity measurement and modeling of inhaler production at AstraZeneca

    University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Author : Vilma Björk Öhhrfelt; Ebba Österman; [2023]
    Keywords : Produktivitet; produktivitetsmått; produktionsplanering; diskret händelsestyrd simulering; kapacitetsförändringar; produktionslogistik; Industriell ekonomi; Industriell ekonomi;

    Abstract : Production planning and evaluation can be performed using various tools. This study encompasses two main topics: productivity measurement and production simulation. The study was conducted at AstraZeneca, a pharmaceutical company, where their production of inhalers was examined. READ MORE

  6. 5. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    University essay from Lunds universitet/Centrum för analys och syntes

    Author : Sara Forsberg; [2023]
    Keywords : High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Abstract : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. READ MORE