EuResist? EuResist is an international project designed to improve the treatment of HIV patients by developing a computerized system that can recommend optimal treatment based on the patient’s clinical and genomic data. The project is part of the Virtual Physiological Human framework, funded by the European Commission. It started in 2006 with the formation of a consortium of several research institutes and hospitals in Europe and Israel. The consortium completed its commitment to the European Commission near the end of 2008, at which time the system became available online. A non- profit organization was consequently established by the main partners to maintain and improve the system.

Euresist & IBM EuResist worked with IBM Research to develop a drug interaction modeling tool for users to predict the success rate and impact on virus evolution of various drug combination. The prediction engine, operating on an IBM WebSphere Application server, leverages medical data from seven sources hosted within a DB2 data server. On that server, solution processed and correlated clinical and genomic data from many sources consolidating more than patients recorrrs, therapies, and viral load measurements. Those process will result in prediction patient responses to therapy with over 75% percent accuracy

Preditive analytics can improve diagnosis and treatment in healthcare. Explain the need for smarter way to predict the most effective drug combination

Predictive analytics is the branch of data mining concerned with the prediction of future probabilities and trends. The central element of predictive analytics is predictor, a variable that can be measured for an individual or other entity to predict future behavior. So in order to get the most effective drug combinations. Predictive analytics will help us to prediction the future of the result from our historical data, so we don’t need to try or combine the uneffective drug combination.

How can DSS and Predictive analytical reduce the costs of healthcare treatments?

A decision support system is a computer-based information system that supports busisness or organizational decision –making activities. In order to do healthcare treatments, we need so much costs for it. So DSS and predictive analytics will help us to make a decision which method will we use to take care the patient. Because it’s historical, so we can determine easier.

What have been the benefits of the DSS to the EuResist project?

Benefits of DSS on EuResist -Shortcut to find the most accurate solution. -Help generate many kinds of genome combination. -Easy to use for noncomputer people. -Flexible and adaptable to match the user needs. -Support to gather the best data among all of the information that stored into the servers.

What might be some types of resistance to the use of EuResist? From medical experts? From Patients?

Resistance from medical experts -Some doctor that prefer traditional way or not used to the computer find it hard to use it. -Medical experts prefer to use laboratory test rather than trusting a mere prediction. Resistance from patients : -Sometimes, risk averse patients afraid to be treated as guinea pig. Because all the suggestion provided by EuResist is still have a 76% success rate. -Like the medical experts, sometimes, old fashioned patients only trust their doctor if they are asked to do laboratory check (they prefer certainity)

In your opinion, do you think that insurance companies that pay for drug treatments would be in favor of or against it? Explain your answer.

In our opinion the insurance companies will pay for the drug treatments. The reason because when we apply to the insurance will be some agreement between the insurer and the insured that in some of certain condition that the insurer will pay the medicine and treatment that belong to the insured which is in this condition is HIV. But the medicine will be a lot of expensive than the regular sickness so probably the insurance will limit the expense of their coverage insurance plan. The medicine and treatment that create by the EuResist is to achieve higher possibility of HIV can be heal because there is a lot of resist that HIV virus will create to protect their sustain in the HIV person against the medicine and treatment.

Explain the benefit of the prediction engine. Does EuResist’s statistical approach replace or supplement the expertise of medical expert?

Prediction engine is only for support, backup and also faster the way of treatment for different patient because different genetical symptoms will create also different kind of HIV that will not same in the way of heal it. So when the gen is input in the engine, “they” will search for the highest possibility of success of treatment to the common gene. So in short that prediction engine is to help and support the medical experts to find the best possibility in the way of treatment and medicine to the patient not to change or even replace the medical experts.