Reprint

Evaluating Novel Biomarkers for Personalized Medicine

Edited by
April 2024
172 pages
  • ISBN978-3-7258-0692-8 (Hardback)
  • ISBN978-3-7258-0691-1 (PDF)

This is a Reprint of the Special Issue Evaluating Novel Biomarkers for Personalized Medicine that was published in

Medicine & Pharmacology
Public Health & Healthcare
Summary

Standard and cutting-edge biomarkers used for the diagnosis and evaluation of different illnesses will be covered in this Special Issue. Emphasis will be placed on personalized medicine, since this innovative strategy enables healthcare professionals to identify the most effective therapies for each patient using diagnostic tests and biomarkers.Evidence-based findings indicate that many medications are unsuccessful for some individuals; as such, this method is crucial. Healthcare professionals can create individual preventative plans and treatment plans by considering the patient's medical history, as well as biomarkers throughout the diagnosis process. This strategy benefits patients and the healthcare system, according to several cost-effectiveness studies.

Treatments that are customized for each patient offer both medical and financial benefits, making them not only essential for patients and physicians, but also welcomed by regulatory agencies as well as insurance providers.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
inflammation; monocyte; GLUT1; PET-CT scan; non-small cell lung cancer; prognosis; survival; gastric cancer; neopterin; chitotriosidase; stadialisation; resectability; survival; intrahepatic cholangiocarcinoma; hepatocellular carcinoma; secondary tumor; needle biopsy; immunohistochemistry; CK7; intratumoral immune cells; saliva; biomarkers; anti-epileptic drugs; therapeutic drug monitoring; seizure; epilepsy; histopathology biomarker; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); coronavirus disease (COVID-19); autopsy; lung; multiple sclerosis; neurodegeneration; clinically isolated syndrome; optical coherence tomography; retinal fiber layers; ganglion cell layer; posterior pole analysis; macular retinal segmentation; pulse wave velocity; chronic kidney disease; malnutrition; inflammation triiodothyronine; prolactin; COPD; COVID-19; SARS-CoV-2 infection; biomarkers; predictive model; mortality; intensive care unit; mechanical ventilation; adropin; kidney transplant recipients; nutritional status; body composition; inflammatory markers; machine learning; transcatheter aortic valve replacement; nasopharyngeal cancer; tooth extraction; glucose; C-reactive protein; albumin; n/a