The fight against suicide is highly challenging as it may be one of the most complex and, at
the same time, most threatening among all psychiatric phenomena. In spite of its huge …

This review analyzes the application of machine learning (ML) in oncological
pharmacogenomics, focusing on customizing chemotherapy treatments. It explores how ML …

Pharmacogenetic variants are associated with clinical outcomes during Calcium Channel
Blocker (CCB) treatment, yet whether the effects are modified by genetically predicted …

The vast and boundless expanse of the universe holds within it countless enigmas,
shrouded in the abyss of the unknown, from the luminous celestial bodies that flicker in the …

Background: Personalized medicine, with its focus on tailoring drug formulations to
individual patient profiles, has made significant strides in healthcare. The integration of …

Background/Objectives: Individual habitual conditions entail a risk during the interpretation
of vital parameters. We developed algorithms for calculating, validating, and interpreting …

Personalized medicine is a new medical approach that uses a patient's genetic profile to
guide disease prevention, diagnosis, and treatment. It combines current medicine with …

Abstract Background Calcium channel blockers (CCBs) are common antihypertensive
medications. Pharmacogenetic variants affect CCB clinical outcomes, although effect sizes …

In this chapter, you will gain a comprehensive understanding of personalized medicine and
its transformative impact on clinical practice. The exploration begins by elucidating the …

The future of medicine promises an exciting transformation driven by unprecedented
technological advancements, personalized healthcare practices, and collaborative …