Laryngeal squamous cell carcinoma (LSCC) remains a highly morbid and fatal disease. Historically, it has been a model example for organ preservation and treatment stratification paradigms. Unfortunately, survival for LSCC has stagnated over the past few decades. As the era of next-generation sequencing and personalized treatment for cancer approaches, LSCC may be an ideal disease for considerat...

The idea that one drug treatment can fit all has been waning for decades, but up until a decade ago, we lacked the technology and infrastructure to implement novel medical approaches that would give rise to personalized medicine. Still in its embryonic stages, personalized medicine, also known as precision medicine, aims to synthesize relevant genetic and genomic information from a patient to h...

State of art of personalized monitoring programs informatization and improvement of human adaptation abilities as one of the preferred direction of personalized (individualized, personalized) medicine which is focused on disclosure of potential and adaptive capabilities of human body and increase of life expectancy by means of directed patient-associated diagnostic and treatment effects on the ...

People learn whenever and wherever possible, and whatever they like or encounter–Mathematics, Drama, Art, Languages, Physics, Philosophy, and so on. With the bursting of knowledge, evaluation of one’s understanding of conceptual knowledge becomes increasingly difficult. There are a lot of demands for evaluating one’s understanding of a piece of knowledge, e.g., facilitating personalized recomme...

We address the problem of generating entire course sequences, given a set of target skills together with possibly prioritized preferences over course descriptions. The objective is to support students in defining personalized curricula.

Now more than ever, let us continue to develop personalized medicine to improve the remission rate for treatment resistant depressed patients. Recent findings about psychomotor retardation a core symptom of depression provide new insights into the predictive efficiency of personalized treatments, such as rTMS.