Life Sciences
Showing 1 - 6 of 6 results-
Adverse Drug Reaction(ADR)-Target Association Prediction
- Published on: July, 2020
- Bumjun Kim, Seda Arat, Robert Ietswaart, William DuMouchel, Saman Farahmand, Amanda X. Chen
- Code Available
Adverse reactions of marketed and approved drugs cause a significant amount of morbidity and mortality. To associate these drugs with human adverse dr ...
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Detect adverse drug events in clinical text, tweets and reviews
- Published on: April, 2021
- John Snow Labs
- Code Available
It is a pretrained NER deep learning model used for detecting adverse reactions of drugs in reviews, tweets, and medical text, and is compatible with ...
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Comparative Effectiveness Research
- Published on: January, 2017
- CitiusTech
A machine learning model is developed to assist decision-makers in determining real-world performance of their novel drug against key hard end-points ...
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Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data
- Published on: May, 2018
- Peggy Peissig, Richard Maclin and David Page, Zhaobin Kuang, Vítor Santos Costa
- Code Available
Adverse drug events can lead to health hazards and have raised awareness of industries and governments internationally about pharmacovigilance. Baseli ...
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MatchMaker - A Deep Learning Framework for Drug Synergy Prediction
- Published on: May, 2020
- Oznur Tastan, A. Ercument Cicek, Halil Ibrahim Kuru
- Code Available
In complex diseases, multiple cellular mechanisms are often altered in the cell; therefore, treating them with a single drug and focusing on a single ...
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Leveraging TCGA gene expression data to build predictive models for cancer drug response
- Published on: September, 2020
- Toyya A. Pujol, John F. McDonald and Peng Qiu, Evan A. Clayton
- Code Available
Predictive models may aid oncologists with making critical treatment decisions. A machine learning model is built using gene expression data from pat ...