Constructing a query consisting of a set of terms or descriptors is often an iterative process. To the user, the starting query and the nal result could be strongly related. These two queries could even be worthy of a link between them. This paper presents a method for deciding when a link between two descriptors is justiied. The decision hinges on the way in which the user has moved from one t...

Pharmacogenetic is broadly understood as study or clinical testing of genetic variations that contribute to differing response to drugs. In cancer treatment, applications of pharmacogenetic cover three areas: avoidance of adverse drug reaction (ADR), selection of treatment options, and prediction of cancer recurrence. Patients with genetic variations in UGT1A1 and DPYD genes are hypersensitive ...

BACKGROUND There is wide variation in antidepressant efficacy and tolerability during the treatment of major depressive disorder, a brain disease associated with significant morbidity and mortality risk. The ability to rapidly identify optimal treatment, thereby shortening the time to symptomatic remission, could reduce these risks and associated costs. CONTENT Up to 42% of variance in antide...

This chapter presents application of reinforcement learning to drug dosing personalization in treatment of chronic conditions. Reinforcement learning is a machine learning paradigm that mimics the trial-and-error skill acquisition typical for humans and animals. In treatment of chronic illnesses, finding the optimal dose amount for an individual is also a process that is usually based on trial-...

Antipsychotics are the lodestar in the treatment of schizophrenia despite the variability of the therapeutic response and drug-induced adverse effects (especially extrapyramidal symptoms, gain weight, and metabolic disturbances). More and more data are supporting the notion that genetic factors - as well as often overlooked personal and environmental factors - that define the inter-individual d...

Some diseases including tumor, genetic diseases and uncured diseases in nerve, endocrine, cardiovascular systems require physicians to address a question about effective prevention and treatment[1]. This is why physicians should apply for new techniques available as soon as possible. Now some important discoveries in enhancing the therapeutic effect have emerged in clinical fields such as “pers...

The hypothesis of each individual being special and different leading to heterogenity of diseases sets the ground for the concept of personalized medicine. Personalized psychiatry follows the principles of personalized medicine. A constituent part of an individually adapted approach towards the psychiatric patient presents itself thorough personalized psychiatry. The development of pharmacogeno...

Background: Reliable estimation of radiation-absorbed dose is necessary to evaluate the benefits and the risks of radiopharmaceuticals used for diagnostic or therapeutic purposes in nuclear medicine. Materiel and Methods: This study included 47 patients treated with iodine-131 for Graves’ disease. A comparative study between Geant4 Monte Carlo simulation and MIRD formalism was carried out to ev...

The personalization of treatment via biomarkers and other risk categories has drawn increasing interest among clinical scientists. Personalized treatment strategies can be learned using data from clinical trials, but such trials are very costly to run. This paper explores the use of active learning techniques to design more efficient trials, addressing issues such as whom to recruit, at what po...