Developing combinatorial multi-component therapies (CMCT) of drugs that are more specific and have fewer side effects than traditional one drug therapies.

The efficiency of multi-target drugs: the network approach might help drug design.

Finding multiple target optimal intervention in disease-related molecular network.

The role of multiscale computational approaches for rational design of conventional and nanoparticle oral drug delivery systems.

Overview of resistance to systemic therapy in patients with breast cancer.

Consciousness and metarepresentation: A computational sketch.

A neural network model to predict lung radiation-induced pneumonitis.

A new model for drug interactions and optimal drug dosing.

Relapsing-Remitting Multiple Sclerosis: What is the Potential for Combination Therapy?

Painting the target around the arrow: two-step prodrug therapies from a carbohydrate chemist's perspective.

Importance of molecular computer modeling in anticancer drug development.

Drug-therapy networks and the prediction of novel drug targets.

Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems.

Developing indicators of inpatient adverse drug events through nonlinear analysis using administrative data.

Targeted expression of two proteins in neural retina using self-inactivating, insulated lentiviral vectors carrying two internal independent promoters.

[Site-specific drug delivery systems. I. Colon targeted delivery]

Biological agents in rheumatoid arthritis: which ones could be used in combination?

Proteins, drug targets and the mechanisms they control: the simple truth about complex networks.

Automatic identification of terpenoid skeletons by feed-forward neural networks.

Electroencephalographic analysis of side effects of spasmolytic drugs.