Essays about: "Drug classification"
Showing result 16 - 20 of 30 essays containing the words Drug classification.
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16. Semi-Supervised Learning for Cell Death Assays
University essay from Umeå universitet/Institutionen för fysikAbstract : Chemotherapy is a type of cancer treatment that uses drugs to kill the cancer cells. In order to evaluate the drug performance, we need cell death assays. Today, most cell death assays are based on fluorometric detection, which can cause phototoxic effects. READ MORE
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17. Semi-supervised adverse drug reaction detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Pharmacogivilance consists in carefully monitoring drugs in order to re-evaluate their risk for people’s health. The sooner the Adverse Drug Reactions are detected, the sooner one can act consequently. READ MORE
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18. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopy technique for 3D imaging of porous materials. We investigate three porous samples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropyl cellulose (EC/HPC) polymer blends. READ MORE
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19. Mapping medical expressions to MedDRA using Natural Language Processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Pharmacovigilance, also referred to as drug safety, is an important science for identifying risks related to medicine intake. Side effects of medicine can be caused by for example interactions, high dosage and misuse. In order to find patterns in what causes the unwanted effects, information needs to be gathered and mapped to predefined terms. READ MORE
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20. Deep convolutional neural networks accurately predict the differentiation status of human induced pluripotent stem cells
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : Rapid progress of AI technology in the life science area is observed in recent years. Convolutionalneural network (CNN) models were successfully applied for the localization and classification of cellson microscopic images. Induced pluripotent stem cells are one of the most important innovations inbiomedical research and are widely used, e.g. READ MORE