Essays about: "Drug classification"
Showing result 11 - 15 of 30 essays containing the words Drug classification.
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11. Creation of a Next-Generation Standardized Drug Groupingfor QT Prolonging Reactions using Machine Learning Techniques
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This project aims to support pharmacovigilance, the science and activities relating to drug-safety and prevention of adverse drug reactions (ADRs). We focus on a specific ADR called QT prolongation, a serious reaction affecting the heartbeat. Our main goal is to group medicinal ingredients that might cause QT prolongation. READ MORE
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12. Improving ligand-based modelling by combining various features
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Background: In drug discovery morphological profiles can be used to identify and establish a drug's biological activity or mechanism of action. Quantitative structure-activity relationship (QSAR) is an approach that uses the chemical structures to predict properties e.g., biological activity. READ MORE
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13. Using Machine Learning techniques to understand glucose fluctuation in response to breathing signals
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Blood glucose (BG) prediction and classification plays big role in diabetic patients' daily lives. Based on International Diabetes Federation (IDF) in 2019, 463 million people are diabetic globally and the projection by 2045 is that the number will rise to 700 million people. READ MORE
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14. Deep learning prediction of Quantmap clusters
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : The hypothesis that similar chemicals exert similar biological activities has been widely adopted in the field of drug discovery and development. Quantitative Structure-Activity Relationship (QSAR) models have been used ubiquitously in drug discovery to understand the function of chemicals in biological systems. READ MORE
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15. Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : DNA-encoded chemical libraries (DEL) allows an exhaustive chemical space sampling with a large-scale data consisting of compounds produced through combinatorial synthesis. This novel technology was utilized in the early drug discovery stages for robust hit identification and lead optimization. READ MORE