Navigation Links
Predicting serious drug side effects before they occur
Date:3/28/2011

All medications have side-effects from common aspirin to herbal remedies and from standard anticancer drugs to experimental immunosuppressants. However, predicting important side effects, serious adverse drug reactions, ADRs, is with current understanding almost impossible. However, a neural network technology trained with past data could give drug companies and healthcare workers a new tool to spot the potential for ADRs with any given medication.

Writing in the International Journal of Medical Engineering and Informatics, at team from the University of Medicine and Dentistry of New Jersey, has developed a new model that tests show is 99.87 percent accurate in predicting adverse drug reactions among 10,000 observations and 100 percent for non-serious ADRs.

Peng-fang Yen and colleagues Dinesh Mital and Shankar Srinivasan explain how obligatory warning labels on medication packaging often serve only to cause concern among patients, while products withdrawn from the market because of repeated ADRs repeatedly undermine the pharmaceutical industry. From the medical industry's point of view and the perspective of patients, this is a growing concern that might be remedied with new technology, saving lives, reputations and healthcare costs.

The Food Drug Administration (FDA) in USA and the World Health Organization (WHO) monitor the safety of medications continuously. However, technology that could identify possible ADRs at the earliest possible stage of drug development, licensing and marketing is urgently needed, especially given the potential risks to patients in emerging areas of healthcare and the potential risks to shareholder confidence.

The team's artificial neural network is a mathematical model of the biologic neural network embedded in computer software. It is trained by feeding in structural and physical data associated with known pharmaceutical products and any ADRs. A feedback loop discards those connections where a wrong prediction of a known outcome is made and as data are added the ANN builds up a network of correct "predictions". After sufficient training, the ANN can then be tested on another set of pharmaceuticals and outcomes checked against known ADRs. If confidence is sufficiently high, the ANN can be used to predict ADRs for new drugs.

The team has demonstrated an accuracy of 95 percent in preliminary tests and is now using a much larger data set of 10,000 drug molecules and ADR observations to train the ANN to a much more refined level.


'/>"/>

Contact: Peng-fang Yen
yenpe@umdnj.edu
Inderscience Publishers
Source:Eurekalert

Related medicine news :

1. Progress Reported in Predicting Alzheimers
2. A new method is developed for predicting shade improvement after teeth bleaching
3. Predicting drug responsiveness in cancer patients
4. Predicting Alzheimers Risk in Patients With Cognitive Problems
5. Traditional neurologic exams inadequate for predicting survival of cardiac arrest patients
6. Nasendoscopy proves useful in predicting treatment success in sleep apnea patients
7. Breakthrough in Predicting Invasive Breast Cancer
8. Newer Genetic Info Adds Little to Predicting Breast Cancer
9. MSU scientists develop more effective method of predicting lead-poisoning risk
10. In pilot study, screening detects potentially serious heart conditions in healthy children
11. Surviving Serious Childhood Illness Takes Toll Later: Study
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:6/26/2016)... ... June 26, 2016 , ... Brent Kasmer, a legally blind and certified personal trainer is helping ... fitness app. The fitness app plans to fix the two major problems leading the fitness ... size fits all type program , They don’t eliminate all the reasons people ...
(Date:6/25/2016)... (PRWEB) , ... June 25, 2016 , ... The temporary closing of Bruton Memorial Library ... City Observer , brings up a new, often overlooked aspect of head lice: the parasite’s ... for fumigation is not a common occurrence, but a necessary one in the event that ...
(Date:6/25/2016)... ... June 25, 2016 , ... Dr. ... from injury. Recently, he has implemented orthobiologic procedures as a method for treating ... one of the first doctors to perform the treatment. Orthobiologics are substances that ...
(Date:6/24/2016)... ... June 24, 2016 , ... Those who have experienced traumatic events ... turn to unhealthy avenues, such as drug or alcohol abuse, as a coping mechanism. ... tools for healthy coping following a traumatic event. , Trauma sufferers tend to feel ...
(Date:6/24/2016)... ... , ... Global law firm Greenberg Traurig, P.A. announced that 20 Florida attorneys ... peers for this recognition are considered among the top 2 percent of lawyers practicing ... members of this year’s Legal Elite Hall of Fame: Miami Shareholders Mark D. ...
Breaking Medicine News(10 mins):
(Date:6/26/2016)... , June 26, 2016 ... care operating models within the health care industry is ... financial efficiency , Deloitte offers a suite of ... business issues impacting efficient cost optimization: labor resource analysis, ... These services facilitate better outcomes and better economics ...
(Date:6/24/2016)...   Bay Area Lyme Foundation , collaborating ... for Tick Borne Illness , Harvard Medical School ... Medicine, University of California, Berkeley, and the Veterans ... finalists of Lyme Innovation , the first ... scientists, clinicians, researchers, entrepreneurs, and investors from several ...
(Date:6/24/2016)... 2016 Dehaier Medical Systems Ltd. (NASDAQ: ... markets and sells medical devices and wearable sleep respiratory ... strategic cooperation agreement with Hongyuan Supply Chain Management Co., ... June 20, 2016, to develop Dehaier,s new Internet medical ... Dehaier will leverage Hongyuan Supply Chain,s sales platform to ...
Breaking Medicine Technology: