Artificial intelligence in drug development: clinical pharmacologist perspective
Abstract
87 Vol. 27, No.3, Sep 30, 2019 Copyright © 2019 In-Jin Jang It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). This paper meets the requirement of KS X ISO 9706, ISO 9706-1994 and ANSI/NISO Z.39.48-1992 (Permanence of Paper). Artificial intelligence (AI) is defined as any techniques that enable the computer to mimic the human brain to simulate human intelligence process. A branch of AI technology is Machine Learning (ML) which is a study of an algorithm to build a model of sample data to make prediction or decision without being programmed for the task. Deep Learning (DL) is a class of ML method based on an artificial neural network utilizing information processing and distribute communication to extract higher-level feature from raw input data. DL can outperform conventional ML as they adapt, learn, and continue to improve with more data, particularly heterogeneous ones such as healthcare data. There are several DL classes. Computer vision known as convolutional neural network (CNN) applied for data with natural spatial invariance such as an image. CNN can aid flagging and second opinion in pathology, ophthalmology, etc. CNN needs extensive data and labeled dataset for training. Natural Language Processing (NLP) also recurrent neural network (RNN) is effective at processing sequential input such as language, speech, and time-series data therefore particularly suitable for electronic health record…
Read the paper
Related studies
- Antioxidant efficacy and the upregulation of Nrf2-mediated HO-1 expression by (+)-lariciresinol, a lignan isolated from Rubia philippinensis, through the activation of p38
- Anti-influenza virus activity of green tea by-products in vitro and efficacy against influenza virus infection in chickens
- Therapeutic Potential of Mesenchymal Stem Cells (MSCs) and MSC-Derived Extracellular Vesicles for the Treatment of Spinal Cord Injury
- The intratumoral administration of ferucarbotran conjugated with doxorubicin improved therapeutic effect by magnetic hyperthermia combined with pharmacotherapy in a hepatocellular carcinoma model
- Enhanced anticancer efficacy of TRAIL-conjugated and odanacatib-loaded PLGA nanoparticles in TRAIL resistant cancer
- In vivo tracking of bioorthogonally labeled T-cells for predicting therapeutic efficacy of adoptive T-cell therapy
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.