Essays about: "Organ Detection"

Showing result 1 - 5 of 28 essays containing the words Organ Detection.

  1. 1. 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

  3. 2. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Bushra Alsabbagh; [2023]
    Keywords : Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE

  4. 3. Evaluation of manual and robotic techniques for Micro-RNA extraction in early sepsis diagnosis

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Tjorven Plontke; [2023]
    Keywords : ;

    Abstract : Sepsis is a life-threatening organ dysfunction caused by the spread of infectious diseases throughout the body, resulting in a dysfunctional immune system response. It includes a wide range of symptomsa ffecting multiple organs, making accurate diagnosis challenging. READ MORE

  5. 4. Status Mapping of tank to grave management of Low-GWP refrigerants.

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sandra Parra Gimeno; [2023]
    Keywords : Refrigerant; Blends; Synthetic low-GWP refrigerant; Natural refrigerant; Global Warming Potential GWP ; Tank-to-grave; Interviews.; Köldmedier; Blandning; Globalt uppvärmningspotential GWP ; Låg-GWP köldmedier; Naturligt köldmedier; installation till destruktion; Intervjuer.;

    Abstract : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. READ MORE

  6. 5. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Abdi Gobena; [2023]
    Keywords : Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE