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15:51 Medical Sciences 1: Unwanted effects of general… Medical Sciences 1: Unwanted effects of general anaesthetics Part 1 Dr Phil Larkman	Medical Sciences 1: Unwanted effects of general anaesthetics Part 1 Dr Phil Larkman Introduction to unwanted effects of drugs drug effects drugs targets response benzodiazepines hypersensitivity reactions blood target agents activity reaction anesthetic effect responses liver body damage brain From Philip Larkman on October 25th, 2020 0 likes 21 plays 0 Licence Type Creative Commons - Attribution
18:00 Medical Sciences 1: Mechanism of Action of… Medical Sciences 1: Mechanism of Action of General Anaesthetics Part 3 Dr Phil Larkman	Medical Sciences 1: Mechanism of Action of General Anaesthetics Part 3 Dr Phil Larkman Protein targets for GA action 2 channels potential potassium membrane channel effects anesthetic agents ion ketamine inhalation excitability anesthetics glutamate targets receptors receptor transmission inhibition equilibrium From Philip Larkman on October 18th, 2020 0 likes 34 plays 0 Licence Type Creative Commons - Attribution
13:13 Medical Sciences 1: Mechanism of Action of… Medical Sciences 1: Mechanism of Action of General Anaesthetics Part 1 Dr Phil Larkman	Medical Sciences 1: Mechanism of Action of General Anaesthetics Part 1 Dr Phil Larkman Lipid theory of GA action anesthetic brain effects images solubility agent agents hypothesis parts anesthetics targets actions evidence membrane drug concentration action cell theory lipid From Philip Larkman on October 18th, 2020 0 likes 43 plays 0 Licence Type Creative Commons - Attribution
11:13 BMS2: How Drugs Act . Part 4 Dr Phil Larkman BMS2: How Drugs Act . Part 4 Dr Phil Larkman	BMS2: How Drugs Act . Part 4 Dr Phil Larkman Molecular insights into drug-receptor interactions drugs channel acetylcholine receptor cells ion targets sites drug binding channels action enzymes anesthetics membrane structure subunits transporters body voltage From Philip Larkman on September 28th, 2020 0 likes 282 plays 0 Licence Type All rights reserved The University of Edinburgh
19:44 BMS2: How Drugs Act. Part 2 Dr Phil Larkman BMS2: How Drugs Act. Part 2 Dr Phil Larkman	BMS2: How Drugs Act. Part 2 Dr Phil Larkman Principles of drug interactions with their targets - agonists drug receptor response drugs concentration equilibrium targets receptors occupancy target affinity term specificity protein interactions definition rate reaction ligand dose From Philip Larkman on September 28th, 2020 0 likes 361 plays 0 Licence Type All rights reserved The University of Edinburgh
22:48 Medical Sciences 1: How Do Drugs Work? Part 1 Dr… Medical Sciences 1: How Do Drugs Work? Part 1 Dr Phil Larkman	Medical Sciences 1: How Do Drugs Work? Part 1 Dr Phil Larkman Pharmacological Principles of Drug Action drug receptor drugs targets effect receptors effects response cells body action agonist affinity concentration specificity protein interaction ability target heart From Philip Larkman on September 23rd, 2020 0 likes 122 plays 0 Licence Type Creative Commons - Attribution
04:52 Topic A: About the Course Lecturer, Dr Hopgood… Topic A: About the Course Lecturer, Dr Hopgood (PETARS, Welcome!)	Topic A: About the Course Lecturer, Dr Hopgood (PETARS, Welcome!) This video introduces the Course Lecturer, Dr James Hopgood, and tells you a little about himself in a professional capacity and his research interests. This video also discusses the Institute of… pgee11164 methods networks communications processing signal signals image carlo monte techniques speech applications room interests projects companies devices targets tracking localization edinburgh institute sonar semester method challenge From James Hopgood on September 15th, 2020 0 likes 80 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 15th, 2020
01:27 Generalization in Machine Learning Generalization in Machine Learning	Generalization in Machine Learning Generalization in Machine Learning point predict labels number instances targets interesting decision system regression build algorithms evaluation accuracy iaml training data tomorrow outputs reason train effects percent accuracy predictor matter future values attributes classifier training classifiers neighbor trees level app model From Nigel Goddard on September 20th, 2016 0 likes 2,656 plays 0 Licence Type Creative Commons - Attribution

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