Scheduling and Modeling a Cognitive Assessment Guide for Screening AD by Primary Care Physicians.

New research data on Alzheimer's Disease define it as a clinicobiological entity, which has a long preclinical and presymptomatic phase. Emphasis has been given in early detection and diagnosis, which will allow professionals, caregivers and patients themselves to plan and adjust better to the response of the disease. Primary care physicians, who most often are the first to witness and perceive cognitive impairment, may play a central role in the diagnostic procedure, but frequently they are reluctant to be engaged to the screening procedure.

Integrating Omic Technologies in Alzheimer's Disease.

Scientific advances in biomedical disciplines have allowed us to identify the underlying causes of many diseases with increased comprehension-leading the way towards precision medicine. In this context, unique disease and medical traits pave the way for the development of adapted disease management, drugs and therapies tailored to each patient. Bearing in mind that reductionism, an approach that has dominated biomedical research for many years and has resulted in the identification of definite cellular phenotypes and human diseases which are linked with specific integral molecules, we strongly believe that Alzheimer's Disease, one of the most common neurodegenerative diseases, could not be applied to the model of one disease-one assay-one drug.

Combinatorial permutation based algorithm for representation of closed RNA secondary structures.

A permutation-based algorithm is introduced for the representation of closed RNA secondary structures. It is an efficient 'loopless' algorithm, which generates the permutations on base-pairs of 'k-noncrossing' setting partitions. The proposed algorithm reduces the computational complexity of known similar techniques in O(n), using minimal change ordering and transposing of not adjacent elements.